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<h2 id="who-we-are">Who we are</h2> <h3 id="about-stripe">About Stripe</h3> Stripe is a financial infrastructure platform for businesses. Millions of companies—from the world’s largest enterprises to the most ambitious startups—use Stripe to accept payments, grow their revenue, and accelerate new business opportunities. Our mission is to increase the GDP of the internet, and we have a staggering amount of work ahead. That means you have an unprecedented opportunity to put the global economy within everyone’s reach while doing the most important work of your career. <h3 id="about-the-team">About the team</h3> The Payment Intelligence organization optimizes each of the billions of dollars of transactions processed by Stripe annually on behalf of our users, maximizing successful transactions while minimizing payment costs and fraud. We own products like Radar end-to-end, developing machine learning models, building fast and scalable services and creating intuitive user experiences. We serve real-time predictions as part of Stripe’s payment infrastructure and architect controls that leverage ML to optimally manage users’ business. <h2 id="what-youll-do">What you’ll do</h2> We are looking for an engineering manager to lead and grow a strong team of machine learning engineers that design, build, deploy, and operate ML-powered services that scale globally with Stripe. You will partner with many functions, especially data science (DS), as you lead Stripe's most critical payment decisioning infrastructure. <h3 id="responsibilities">Responsibilities</h3> <ul> <li>Set the vision, goals, &amp; strategy for the team based on company objectives </li> <li>Lead by example in high-growth, high-impact, ambiguous environments </li> <li>Build machine learning systems and pipelines for training, shipping, and operating machine learning models </li> <li>Improve existing machine learning models via developing new ML features, which has been the primary path for improving performance </li> <li>Collaborate and execute projects cross-functionally with the data science, product, infrastructure, and risk teams </li> <li>Ensure engineering outcomes meet or exceed established standards of excellence in code quality, system design, and scalability </li> <li>Recruit, hire, scale, and develop an amazing team of engineers </li> <li>Accelerate the delivery of models to production by leading continuous engineering improvements and investments in our MLOps infrastructure </li> <li>Propose and implement innovative product ideas to reduce costs and combat fraud at Stripe </li> </ul> <h2 id="who-you-are">Who you are</h2> We're looking for someone who meets the minimum requirements to be considered for the role. If you meet these requirements, you are encouraged to apply. The preferred qualifications are a bonus, not a requirement. <h3 id="minimum-requirements">Minimum requirements</h3> <ul> <li>3+ years of direct engineering management experience </li> <li>2+ year of experience working within a team responsible for developing, managing, and improving ML models or ML infrastructure </li> </ul> <h3 id="preferred-qualifications">Preferred qualifications</h3> <ul> <li>Proven track record of building and deploying machine learning models or systems that have effectively solved critical business problems </li> <li>Experience managing teams that leverage real-time, distributed data processing </li> <li>Experience managing teams that leverage batch processing pipelines </li> <li>Experience building sustainable operations for managing many ML models, including CI/CD, auto-training, auto-deployment, and continuous model refreshes </li> <li>Experience managing teams that owned many diverse ML models </li> <li>Experience in adversarial domains like Fraud, Trust, or Safety </li> <li>Past experience operating under team goal-setting frameworks such as OKRs </li> </ul> This role is available either in an office or a remote location (typically, 35+ miles or 56+ km from a Stripe office). Office-assigned Stripes spend at least 50% of the time in a given month in their local office or with users. This hits a balance between bringing people together for in-person collaboration and learning from each other, while supporting flexibility about how to do this in a way that makes sense for individuals and their teams. A remote location, in most cases, is defined as being 35 miles (56 kilometers) or more from one of our offices. While you would be welcome to come into the office for team/business meetings, on-sites, meet-ups, and events, our expectation is you would regularly work from home rather than a Stripe office. Stripe does not cover the cost of relocating to a remote location. We encourage you to apply for roles that match the location where you currently or plan to live. The annual US base salary range for this role is $224,300 - $336,500. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. This salary range may be inclusive of several career levels at Stripe and will be narrowed during the interview process based on a number of factors, including the candidate’s experience, qualifications, and location. Applicants interested in this role and who are not located in the US may request the annual salary range for their location during the interview process. Additional benefits for this role may include: equity, company bonus or sales commissions/bonuses; 401(k) plan; medical, dental, and vision benefits; and wellness stipends. Office locations Seattle, New York, or South San Francisco HQ Remote locations Remote in United States Team New Financial Products Job type Full time <a href="#">Apply for this role </a>

Stripe

ML Engineering Manager, Payment Intelligence

Ready to be pushed beyond what you think you’re capable of? At Coinbase, our mission is to increase economic freedom in the world. It’s a massive, ambitious opportunity that demands the best of us, every day, as we build the emerging onchain platform — and with it, the future global financial system. To achieve our mission, we’re seeking a very specific candidate. We want someone who is passionate about our mission and who believes in the power of crypto and blockchain technology to update the financial system. We want someone who is eager to leave their mark on the world, who relishes the pressure and privilege of working with high caliber colleagues, and who actively seeks feedback to keep leveling up. We want someone who will run towards, not away from, solving the company’s hardest problems. Our <a href="https://www.coinbase.com/mission" target="_blank">work culture</a> is intense and isn’t for everyone. But if you want to build the future alongside others who excel in their disciplines and expect the same from you, there’s no better place to be. Data is a critical component of Coinbase's strategy to optimize financial operations and enhance decision-making. In this role, you will collaborate closely with Finance, Product, and Engineering teams to support cash flow processes, including payments, cash reconciliations against bank statements, and safeguarding of assets. You will gather financial data from diverse sources, including platform data, external financial institutions, market data, and internal financial systems. By transforming raw data into meaningful insights, you will develop advanced data models and pipelines that drive analytics for understanding cash flows What you’ll be doing (ie. job duties): <ul> <li>Work with Product and Engineering to drive new initiatives, supporting new product launches fueling business growth</li> <li>Help define data model, contract, scaling the build of data quality check and contract enforcement</li> <li>Collaborate with stakeholders across Accounting, Treasury and other Finance functions, to extract financial data and insights, and provide data driven recommendations to enhance efficiencies for financial processes</li> <li>Act as a strategic partner to functional teams; design and scope project plans; execute, test and implement data and reporting solutions</li> <li>Initiate, develop and maintain data pipelines and data models that power dashboards and data products with outstanding craftsmanship</li> <li>Work with the broader Data and Engineering teams to find ways to scale our platform through better systems and automation</li> <li>Develop interactive dashboards and visualizations to present financial insights to stakeholders</li> <li>Partner with peers and stakeholders to define and execute roadmaps that can help the function scale</li> </ul> What we look for in you (ie. job requirements): <ul> <li>5+ years of relevant experience</li> <li>Self starter, has the ability to multitask, and highly collaborative in working with cross functional teams</li> <li>Strong experience with data processing (ETL), fluency in complex SQL and basic programming language high proficiency with scripting language(preferably Python)</li> <li>Strong experience building data pipelines</li> <li>knowledge of data modeling, architecture, best practices</li> <li>Experience using Apache Airflow or similar orchestration systems</li> <li>Strong understanding of key finance principles, products within Accounting and Treasury domain, and eagerness to learn </li> <li>Be able to independently create documentation for new data projects and requests, and build collaboration within the team.</li> <li>Demonstrate our core cultural values: clear communication, positive energy, continuous learning, act like an owner and efficient execution.</li> <li>Bachelor’s Degree in Engineering, Computer Science or equivalent practical experience</li> </ul> Nice to haves: <ul> <li>Previous experience working with financial services data is a plus</li> <li>Previous working experience or knowledge of crypto is a plus</li> <li>Domain experience in Payments, Accounting and Finance areas</li> <li>Experience with Looker, Tableau or other business intelligence platforms</li> <li>Be able to proactively manage prioritization of work</li> <li>Experience manipulating large amounts of structured and unstructured data</li> </ul> Job ID: P61655 Pay Transparency Notice: Depending on your work location, the target annual salary for this position can range as detailed below. Full time offers from Coinbase also include target bonus + target equity + benefits (including medical, dental, vision and 401(k)). Pay Range: $180,370—$212,200 USD Please be advised that each candidate may submit a maximum of four applications within any 30-day period. We encourage you to carefully evaluate how your skills and interests align with Coinbase's roles before applying. <h3>Commitment to Equal Opportunity</h3> Coinbase is committed to diversity in its workforce and is proud to be an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, creed, gender, national origin, age, disability, veteran status, sex, gender expression or identity, sexual orientation or any other basis protected by applicable law. Coinbase will also consider for employment qualified applicants with criminal histories in a manner consistent with applicable federal, state and local law. For US applicants, you may view the Know Your Rights notice <a href="https://www.eeoc.gov/sites/default/files/2022-10/22-088_EEOC_KnowYourRights_10_20.pdf" target="_blank">here</a>. Additionally, Coinbase participates in the <a href="https://static-assets.coinbase.com/e-verify.pdf" target="_blank">E-Verify program</a> in certain locations, as required by law. Coinbase is also committed to providing reasonable accommodations to individuals with disabilities. If you need a reasonable accommodation because of a disability for any part of the employment process, please contact us at accommodations[at]coinbase.com to let us know the nature of your request and your contact information. For quick access to screen reading technology compatible with this site <a href="https://chrome.google.com/webstore/detail/chromevox/kgejglhpjiefppelpmljglcjbhoiplfn" target="_blank">click here to download</a> a free compatible screen reader <a href="http://www.chromevox.com/tutorial/" target="_blank">(free step by step tutorial can be found here)</a>. <h3>Global Data Privacy Notice for Job Candidates and Applicants</h3> Depending on your location, the General Data Protection Regulation (GDPR) and California Consumer Privacy Act (CCPA) may regulate the way we manage the data of job applicants. Our full notice outlining how data will be processed as part of the application procedure for applicable locations is available <a href="https://www.coinbase.com/legal/applicant_privacy_notice" target="_blank">here</a>. By submitting your application, you are agreeing to our use and processing of your data as required. For US applicants only, by submitting your application you are agreeing to arbitration of disputes as outlined <a href="https://www.coinbase.com/legal/application-arbitration-agreement" target="_blank">here.</a>

Coinbase

Senior Data Scientist

At Webflow, our mission is to bring development superpowers to everyone. Webflow is a Website Experience Platform (WXP) that empowers modern marketing teams to visually build, manage, and optimize stunning websites. With AI-driven personalization baked in, Webflow enables teams to significantly boost conversion rates, translating directly into measurable business growth. From independent designers and creative agencies to Fortune 500 companies, millions worldwide use Webflow to be more nimble, creative, and collaborative. We are looking for a Staff Product Manager, Applied AI to lead our efforts in custom code generation and AI-powered developer experiences. In this role, you’ll define and drive the strategy for integrating AI-driven code generation into Webflow, enabling both traditional developers and visual developers to seamlessly extend and enhance their projects with custom code. You’ll work closely with our engineering and design teams to craft intuitive, powerful developer tools that bridge no-code and pro-code workflows. If you’re passionate about shaping the future of AI-assisted development and empowering Webflow’s community, we’d love to hear from you! This role is an opportunity to define and shape the long-term strategy for this area, working across teams to explore, validate, and scale solutions that expands our customers’ capabilities on Webflow. The ideal candidate will have a strong track record of launching AI-products and developer tools, operating at both strategic and tactical levels, and driving alignment across cross-functional teams. This person should be equally comfortable defining long-term vision and getting into the details of execution. Strong business acumen, data-driven decision-making, and exceptional communication skills are essential, along with a passion for crafting best-in-class user experiences. <h1>About the role:</h1> <ul> <li>Location: Remote-first (United States)</li> <li>Full-time</li> <li>Permanent</li> <li>Exempt</li> <li>The cash compensation for this role is tailored to align with the cost of labor in different geographic markets. We've structured the base pay ranges for this role into zones for our geographic markets, and the specific base pay within the range will be determined by the candidate’s geographic location, job-related experience, knowledge, qualifications, and skills.</li> </ul> <ul> <li> <ul> <li>United States (all figures cited below are in USD and pertain to workers in the United States) <ul> <li>Zone A: $175,000 - $247,000</li> <li>Zone B: $164,000 - $232,000</li> <li>Zone C: $154,000 - $231,000</li> </ul> </li> <li>Canada (figures cited below are in CAD and pertain to workers in ON &amp; BC, Canada) <ul> <li>CAD 212,000 - CAD 299,000</li> </ul> </li> </ul> </li> <li>This role is also eligible to participate in Webflow's company-wide bonus program. Target amounts are a percentage of base salary and vary by career level. Payouts are based on company performance against established financial and operational goals.</li> </ul> Please visit our <a href="https://webflow.com/careers#pay-zones" target="_blank">Careers page</a> for more information on which locations are included in each of our geographic pay zones. However, please confirm the zone for your specific location with your recruiter. <ul> <li>Reporting to the Senior Director of Product for Webflow’s Core Product pillar, Design &amp; Build</li> </ul> As a Staff Product Manager, AI Code Gen you’ll … <ul> <li>Define and build AI-powered code generation capabilities for customers using Webflow.</li> <li>Work closely with design and engineering to craft a high-quality, intuitive user experience that delights customers.</li> <li>Analyze market trends, customer needs, and competitive landscape to inform product direction and prioritization.</li> <li>Partner with go-to-market teams (Sales, Marketing, Customer Success) to define positioning, messaging, and adoption strategies.</li> <li>Develop and track key product metrics, ensuring data-driven decisions that drive business impact.</li> <li>Advocate for the customer, ensuring that product decisions create real value for users.</li> <li>Communicate effectively across all levels of the company, including executives, to drive clarity and alignment.</li> <li>Stay informed on AI trends, particularly in applied AI and generative AI for code.</li> </ul> In addition to the responsibilities outlined above, at Webflow we will support you in identifying where your interests and development opportunities lie and we'll help you incorporate them into your role. <h1>About you:</h1> You’ll thrive as a Staff Product Manager if you: <ul> <li>Have experience owning and driving product strategy on products with strong user experiences, particularly in AI-powered developer tools.</li> <li>Have strong business acumen and can balance customer needs with business impact.</li> <li>Are an exceptional communicator—you simplify complex ideas and align stakeholders across teams.</li> <li>Operate effectively at both strategic and tactical levels, switching between big-picture vision and execution details.</li> <li>Have excellent cross-functional leadership skills, rallying teams around a shared goal.</li> <li>Are highly analytical, using data and user insights to drive product decisions.</li> <li>Excel in ambiguous environments where the path forward isn’t always clear.</li> <li>Have strong executive presence, confidently leading discussions and influencing senior stakeholders.</li> </ul> Nice-to-haves: <ul> <li>Previous experience as a software engineer</li> <li>Have experience with Webflow and other web design, development or creative tools, or content workflows</li> </ul> <h3>Our Core Behaviors:</h3> <ul> <li> Obsess over customer experience. We deeply understand what we’re building and who we’re building for and serving. We define the leading edge of what’s possible in our industry and deliver the future for our customers</li> <li> Move with heartfelt urgency. We have a healthy relationship with impatience, channeling it thoughtfully to show up better and faster for our customers and for each other. Time is the most limited thing we have, and we make the most of every moment</li> <li> Say the hard thing with care. Our best work often comes from intelligent debate, critique, and even difficult conversations. We speak our minds and don’t sugarcoat things — and we do so with respect, maturity, and care</li> <li> Make your mark. We seek out new and unique ways to create meaningful impact, and we champion the same from our colleagues. We work as a team to get the job done, and we go out of our way to celebrate and reward those going above and beyond for our customers and our teammates</li> </ul> <h3>Benefits &amp; wellness</h3> <ul> <li>Equity ownership (RSUs) in a growing, privately-owned company</li> <li>100% employer-paid healthcare, vision, and dental insurance coverage for full-time employees (working 30+ hours per week) and their dependents. Full-time employees may also be eligible for voluntary insurance options where applicable in the respective country of employment</li> <li>12 weeks of paid parental leave for both birthing and non-birthing caregivers, as well as an additional 6-8 weeks of pregnancy disability leave for birthing parents to be used before child bonding leave (note: where local requirements are more generous, employees receive the greater benefit); full-time employees also have access to family planning care and reimbursement</li> <li>Flexible PTO for all locations and sabbatical program</li> <li>Access to mental wellness and professional coaching, therapy, and Employee Assistance Program</li> <li>Monthly stipends to support work and wellness</li> <li>401k plan or pension schemes (in countries where statutorily required), and other financial wellness benefits, like CPA and financial advisor coverage</li> </ul> Temporary employees may be eligible for paid holiday and time off, statutory leaves of absence, and company-sponsored medical benefits depending on their Fixed Term Contract and their country/state of employment. <h3>Remote, together</h3> At Webflow, equality is a core tenet of our culture. We are an Equal Opportunity (EEO)/Veterans/Disabled Employer and are <a href="https://webflow.com/diversity-equity-inclusion" target="_blank">committed</a> to building an inclusive global team that represents a variety of backgrounds, perspectives, beliefs, and experiences. Employment decisions are made on the basis of job-related criteria without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, veteran status, or any other classification protected by applicable law. Pursuant to the San Francisco Fair Chance Ordinance, Webflow will consider for employment qualified applicants with arrest and conviction records. <h3>Stay connected</h3> Not ready to apply, but want to be part of the Webflow community? Consider following our story on our <a href="https://webflow.com/blog" target="_blank">Webflow Blog</a>, <a href="https://www.linkedin.com/company/webflow-inc-/" target="_blank">LinkedIn</a>, <a href="https://twitter.com/webflow" target="_blank">X (Twitter)</a>, and/or <a href="https://www.glassdoor.com/Reviews/Webflow-Reviews-E890506.htm" target="_blank">Glassdoor</a>. <h3>Please note:</h3> We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Upon interview scheduling, instructions for confidential accommodation requests will be administered. To join Webflow, you'll need a valid right to work authorization depending on the country of employment. If you are extended an offer, that offer may be contingent upon your successful completion of a background check, which will be conducted in accordance with applicable laws. We may obtain one or more background screening reports about you, solely for employment purposes. For information about how Webflow processes your personal information, please review <a href="https://webflow.com/legal/applicant-privacy-notice" target="_blank">Webflow’s Applicant Privacy Notice</a>.

Webflow

Staff Product Manager, AI

Ready to be pushed beyond what you think you’re capable of? At Coinbase, our mission is to increase economic freedom in the world. It’s a massive, ambitious opportunity that demands the best of us, every day, as we build the emerging onchain platform — and with it, the future global financial system. To achieve our mission, we’re seeking a very specific candidate. We want someone who is passionate about our mission and who believes in the power of crypto and blockchain technology to update the financial system. We want someone who is eager to leave their mark on the world, who relishes the pressure and privilege of working with high caliber colleagues, and who actively seeks feedback to keep leveling up. We want someone who will run towards, not away from, solving the company’s hardest problems. Our <a href="https://www.coinbase.com/mission" target="_blank">work culture</a> is intense and isn’t for everyone. But if you want to build the future alongside others who excel in their disciplines and expect the same from you, there’s no better place to be. Team: The Coinbase Customer Experience (CX) organization plays an imperative role in achieving our mission. Our team is dedicated to eliminating customer defects, driving efficiency through automation, and optimizing support operations. We are seeking an experienced Data Analyst to lead insights into our quality assurance and knowledge management functions. As a Data Analyst on our team, you will own and drive projects that create meaningful business impact. You’ll have the opportunity to transform data into measurable actions that improve customer experiences and help shape our long-term strategy to deliver maximum impact to our customers. What you’ll be doing: <ul> <li>Improve customer experiences by developing bar raising metrics, self-service tools, and deep analyses that drive actionable insights</li> <li>Collaborate with stakeholders to manage a long-term analytic roadmap that balances the tactical and strategic needs of the business</li> <li>Proactively identify opportunity areas for improvement including deep dive investigations and processes to better serve our customers</li> <li>Drive the vision, building, and adoption of self-service analytic capabilities; develop these capabilities at scale</li> <li>Understand data resources and know when, how, and which best to use for each project</li> <li>Ability to frame and break down complex business problems into key components and recommend practical solutions</li> <li>Monitor key performance metrics and use data to identify actionable opportunities to increase efficiency and make high-quality decisions that drive performance improvements</li> <li>Build a collaborative team environment that fosters efficient execution, innovation, and continuous improvement</li> <li>Develop and support the analytical technologies that give our team timely, flexible, and structured access to their data</li> <li>Guide code reviews, provide SQL and Python expertise, and create well-maintained ETL jobs</li> <li>Maintain a high bar for statistical rigor on your team; ensure that we’re conducting experimentation and causal analyses that build confidence with your stakeholders</li> </ul> What we look for in you: <ul> <li>4+ years of relevant data analytics experience in an operational environment, with a strong focus on quality measures</li> <li>Experience transforming unstructured data into actionable insights, outlier based agent performance management, and web analytics </li> <li>Professional experience using advanced SQL and data modeling skills to process large, complex datasets</li> <li>Proficient using at least one data visualization product (Looker, Tableau, QuickSight, etc.)</li> <li>Excellent written and verbal communication skills, including experience meeting with and communicating information to senior leadership</li> <li>Highly collaborative, with an ability to optimally secure inputs from many cross-functional partner teams</li> <li>Ability to think strategically, formulate appropriate analytical solutions, and execute in order to solve business needs</li> </ul> Nice to haves: <ul> <li>Report automation experience (e.g. using Python, R)</li> <li>Knowledge of AWS services and cloud computing</li> <li>Experience with descriptive and inferential statistics</li> <li>Experience with financial industry regulations</li> <li>Experience with QMS and L&amp;D-centric metrics</li> </ul> JOB ID: P62711 Pay Transparency Notice: Depending on your work location, the target annual salary for this position can range as detailed below. Full time offers from Coinbase also include target bonus + target equity + benefits (including medical, dental, vision and 401(k)). Pay Range: $131,325—$154,500 USD <h3>Commitment to Equal Opportunity</h3> Coinbase is committed to diversity in its workforce and is proud to be an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, creed, gender, national origin, age, disability, veteran status, sex, gender expression or identity, sexual orientation or any other basis protected by applicable law. Coinbase will also consider for employment qualified applicants with criminal histories in a manner consistent with applicable federal, state and local law. For US applicants, you may view the Know Your Rights notice <a href="https://www.eeoc.gov/sites/default/files/2022-10/22-088_EEOC_KnowYourRights_10_20.pdf" target="_blank">here</a>. Additionally, Coinbase participates in the <a href="https://static-assets.coinbase.com/e-verify.pdf" target="_blank">E-Verify program</a> in certain locations, as required by law. Coinbase is also committed to providing reasonable accommodations to individuals with disabilities. If you need a reasonable accommodation because of a disability for any part of the employment process, please contact us at accommodations[at]coinbase.com to let us know the nature of your request and your contact information. For quick access to screen reading technology compatible with this site <a href="https://chrome.google.com/webstore/detail/chromevox/kgejglhpjiefppelpmljglcjbhoiplfn" target="_blank">click here to download</a> a free compatible screen reader <a href="http://www.chromevox.com/tutorial/" target="_blank">(free step by step tutorial can be found here)</a>. <h3>Global Data Privacy Notice for Job Candidates and Applicants</h3> Depending on your location, the General Data Protection Regulation (GDPR) and California Consumer Privacy Act (CCPA) may regulate the way we manage the data of job applicants. Our full notice outlining how data will be processed as part of the application procedure for applicable locations is available <a href="https://www.coinbase.com/legal/applicant_privacy_notice" target="_blank">here</a>. By submitting your application, you are agreeing to our use and processing of your data as required. For US applicants only, by submitting your application you are agreeing to arbitration of disputes as outlined <a href="https://www.coinbase.com/legal/application-arbitration-agreement" target="_blank">here.</a>

Senior CX Analytics Engineer

Ready to be a Titan?Join ServiceTitan's Engineering leadership team and play a pivotal role in shaping the future of our data and AI capabilities. We're seeking a visionary Senior Director of Engineering to drive innovation across our Data Platform and Machine Learning Platform, with a focus on building a real-time data lake and pioneering Agentic AI solutions.In this role, you'll lead a talented team of engineers and architects, fostering a culture of excellence and driving the development of cutting-edge platforms that empower our business and customers. We thrive on solving complex problems, embracing modern technologies, and delivering high-quality, scalable solutions.What you'll do: Strategic Leadership:<ul> <li>Provide strategic vision and technical leadership for both the Data Platform (real-time data lake) and ML Platform (Agentic AI development).</li> <li>Collaborate with senior engineering, product, and business leaders to align platform development with business objectives.</li> <li>Drive the adoption of best practices in data engineering, machine learning, and software development.</li> </ul>Data Platform Innovation:<ul> <li>Lead the development and evolution of our next-generation, real-time data lake, enabling seamless data ingestion, processing, and analysis.</li> <li>Architect and implement scalable data pipelines, optimizing for latency, cost, and throughput.</li> <li>Define and enforce data management practices, including data modeling, ETL, and data warehousing principles.</li> <li>Implement data streaming solutions that enable real time analysis of data.</li> </ul>ML Platform &amp; Agentic AI:<ul> <li>Spearhead the development of our ML Platform, with a focus on leveraging Agentic AI to create innovative solutions.</li> <li>Drive the research, evaluation, and implementation of cutting-edge AI/ML techniques and tools.</li> <li>Lead the teams that develop the infrastructure and tools needed to support Agentic AI model development and deployment.</li> </ul>Team Leadership &amp; Growth:<ul> <li>Lead, mentor, and grow a diverse, multi-location team of data engineers, ML engineers, and architects.</li> <li>Foster a culture of collaboration, innovation, and continuous improvement.</li> <li>Partner with the CTO to manage career paths and talent development.</li> <li>Cross-Functional Collaboration:</li> <li>Collaborate with product managers, data scientists, and business stakeholders to deliver high-impact solutions.</li> <li>Represent ServiceTitan in the technology community and build strong relationships with customers.</li> <li>Partner with peer engineering executives to ensure a cohesive engineering organization.</li> </ul>Operational Excellence:<ul> <li>Drive project execution throughout the entire software development lifecycle, mitigating risks and ensuring timely delivery.</li> <li>Implement and maintain robust monitoring, alerting, and debugging systems.</li> </ul>What you'll need: <ul> <li>~15 years of software engineering experience, with at least 7 years in a leadership role.</li> <li>Proven experience building and scaling high-performance data platforms and machine learning systems.</li> <li>Deep expertise in data streaming technologies (e.g., Kafka, Azure Event/IoT Hub, Kinesis).</li> <li>Extensive experience with data pipeline tools (e.g., Azure Data Factory, Flink, Spark, Pinot, Clickhouse).</li> <li>Strong understanding of cloud-based data storage and databases (e.g., Azure Data Lake, Snowflake, Synapse).</li> <li>Experience with infrastructure automation (Docker, Kubernetes).</li> <li>Experience with modern ML platforms and Agentic AI toolchains.</li> <li>Proficiency in data workflow management (e.g., Airflow, dbt).</li> <li>Strong understanding of distributed systems and RESTful APIs.</li> <li>Excellent communication and technical writing skills.</li> <li>Experience with Microsoft technology stack and related development tools.</li> <li>Demonstrated ability to adapt to new technologies and learn quickly.</li> <li>B.S., M.S., or Ph.D. in Computer Science, Engineering, or a related field.</li> </ul>Be Human With Us:Being human isn’t about checking every box on a list. It’s about the experiences we have, people we meet, and the perspectives we share. So, if you have the skills but are hesitant to apply because of your background, apply anyway. We need amazing people like you to help us challenge the conventional and think differently about the problems that we’re solving. We’re in this together. Come be human, with us. What We Offer:When you join our team, you’re not just accepting a job. You’re making a career move. Here’s how we’ll support you in doing some of the most impactful work of your career:<ul> <li>Flextime, recognition, and support for autonomous work: Flexible time off with ample learning and development opportunities to continue growing your career. We offer a comprehensive onboarding program, leadership training for Titans at all levels, and other programs and events. Great work is rewarded through Bonusly, peer-nominated awards, and more. </li> <li>Holistic health and wellness benefits: Company-paid medical, dental, and vision (with 100% employer paid options and 90% coverage for dependents), FSA and HSA, 401k match, and telehealth options including memberships to Headspace, Galileo, One Medical, Ginger and more. </li> <li>Support for Titans at all stages of life: Parental leave and support, up to $20k in adoption reimbursement, on demand maternity support through Maven Maternity, free breast milk shipping through Maven Milk, pet insurance, legal advisory services, financial planning tools, and more.</li> </ul>At ServiceTitan, we celebrate individuality and uniqueness. We believe that the convergence of fresh perspectives and experiences from all walks of life is what makes our product and culture so great. We strongly encourage people from underrepresented groups to apply. We do not discriminate against employees based on race, color, religion, sex, national origin, gender identity or expression, age, disability, pregnancy (including childbirth, breastfeeding, or related medical condition), genetic information, protected military or veteran status, sexual orientation, or any other characteristic protected by applicable federal, state or local laws.ServiceTitan is committed to fair and equitable compensation for all of our employees. We thoughtfully consider a wide range of factors when determining individual compensation. The expected salary range for this role for candidates residing in the United States is between $269,000 USD - $359,800 USD. Compensation for candidates residing outside the United States will vary by location and the specific salary range will be discussed during the hiring process. Actual compensation for an individual may vary depending on skills, performance over time, qualifications, experience, and location. In addition to the base salary, the total compensation package also includes an annual bonus, equity and a holistic suite of benefits.

ServiceTitan

Senior Director, Data & AI Platforms

Ready to be pushed beyond what you think you’re capable of? At Coinbase, our mission is to increase economic freedom in the world. It’s a massive, ambitious opportunity that demands the best of us, every day, as we build the emerging onchain platform — and with it, the future global financial system. To achieve our mission, we’re seeking a very specific candidate. We want someone who is passionate about our mission and who believes in the power of crypto and blockchain technology to update the financial system. We want someone who is eager to leave their mark on the world, who relishes the pressure and privilege of working with high caliber colleagues, and who actively seeks feedback to keep leveling up. We want someone who will run towards, not away from, solving the company’s hardest problems. Our <a href="https://www.coinbase.com/mission" target="_blank">work culture</a> is intense and isn’t for everyone. But if you want to build the future alongside others who excel in their disciplines and expect the same from you, there’s no better place to be. Data Science is an integral component of Coinbase’s product and decision making process: we work in partnership with Product, Engineering and Design to influence the roadmap and better understand our users. With a deep expertise in experimentation, analytics and advanced modeling, we produce insights and drive decisions which directly move the company’s bottom line. We’re looking for an experienced manager to lead the Developer data science team, a fast growing area of the business that’s not only working on some of the most cutting edge web3 applications, but which is also critical to Coinbase’s mission of bringing one billion people onchain. They’ll work with their team to devise strategies to help grow the product, support a culture of experimentation, and hold a high bar for rigorous and analytical decision making. What you’ll be doing (ie. job duties): <ul> <li>Manage, mentor and grow a team of data scientists and build solid working partnerships with product teams</li> <li>Act as a strategic thought partner to product teams and Coinbase executives; lead the team to execute on data-based analyses to help prioritize product opportunities and provide actionable recommendations </li> <li>Standardize best practices for analysis, modeling and experimentation; develop scalable processes to help the team solve pain points and meet goals</li> <li>Design communication structure and cadence with team members; synthesize data learnings into compelling stories and communicate them throughout Coinbase</li> <li>Act as the business metrics owner for performance management</li> <li>Drive data team and organizational level initiatives to scale our insights through better systems and automation</li> </ul> What we look for in you (ie. job requirements): <ul> <li>BA / BS degree business, computer science, statistics, applied mathematics, or any scientific or computational degree</li> <li>5+ years of experience as a hands-on leader of a high-performing data science/analytics team</li> <li>10+ years of experience providing business insights and driving data science initiatives</li> <li>Experience in both internal and external storytelling and executive presentations</li> <li>Experience overseeing large, complex and cross-functional initiatives</li> <li>Expertise with analytics tools, data visualization, SQL, R, or Python as applied to data science and analytics</li> <li>Deep knowledge of data models and experimental design and execution</li> <li>Excellent ability to communicate complicated and nuanced insights in accessible language to relevant stakeholders</li> <li>Demonstrate our core cultural values: clear communication, positive energy, continuous learning, and efficient execution</li> <li>Self-driven and able to create plans for analytics projects and build collaboration within the team</li> </ul> Nice to haves: <ul> <li>Masters or PhD in computer science, statistics, applied mathematics, or any scientific or computational degree</li> <li>Experience building causal inference models and overseeing synthetic experimentation</li> <li>Domain experience in Fintech product and growth areas</li> <li>Experience manipulating large amounts of structured and unstructured data</li> </ul> Pay Transparency Notice: Depending on your work location, the target annual salary for this position can range as detailed below. Full time offers from Coinbase also include target bonus + target equity + benefits (including medical, dental, vision and 401(k)). Pay Range: $243,865—$286,900 USD Please be advised that each candidate may submit a maximum of four applications within any 30-day period. We encourage you to carefully evaluate how your skills and interests align with Coinbase's roles before applying. <h3>Commitment to Equal Opportunity</h3> Coinbase is committed to diversity in its workforce and is proud to be an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, creed, gender, national origin, age, disability, veteran status, sex, gender expression or identity, sexual orientation or any other basis protected by applicable law. Coinbase will also consider for employment qualified applicants with criminal histories in a manner consistent with applicable federal, state and local law. For US applicants, you may view the Know Your Rights notice <a href="https://www.eeoc.gov/sites/default/files/2022-10/22-088_EEOC_KnowYourRights_10_20.pdf" target="_blank">here</a>. Additionally, Coinbase participates in the <a href="https://static-assets.coinbase.com/e-verify.pdf" target="_blank">E-Verify program</a> in certain locations, as required by law. Coinbase is also committed to providing reasonable accommodations to individuals with disabilities. If you need a reasonable accommodation because of a disability for any part of the employment process, please contact us at accommodations[at]coinbase.com to let us know the nature of your request and your contact information. For quick access to screen reading technology compatible with this site <a href="https://chrome.google.com/webstore/detail/chromevox/kgejglhpjiefppelpmljglcjbhoiplfn" target="_blank">click here to download</a> a free compatible screen reader <a href="http://www.chromevox.com/tutorial/" target="_blank">(free step by step tutorial can be found here)</a>. <h3>Global Data Privacy Notice for Job Candidates and Applicants</h3> Depending on your location, the General Data Protection Regulation (GDPR) and California Consumer Privacy Act (CCPA) may regulate the way we manage the data of job applicants. Our full notice outlining how data will be processed as part of the application procedure for applicable locations is available <a href="https://www.coinbase.com/legal/applicant_privacy_notice" target="_blank">here</a>. By submitting your application, you are agreeing to our use and processing of your data as required. For US applicants only, by submitting your application you are agreeing to arbitration of disputes as outlined <a href="https://www.coinbase.com/legal/application-arbitration-agreement" target="_blank">here.</a>

Senior Data Science Manager

Media · Remote USA · Fully Remote <h1>Senior Data Analyst</h1> Are you ready to be a big part of something big? At Trader Interactive, we make buying and selling a great experience. We’re a group of go-getters who decided they didn’t want to settle for the status quo. We come together as one team to build value and drive innovation across our industries - but we have fun while we do it and make sure our people are always our #1 priority. When it comes to your career, we want to provide big opportunities to help you make a big impact. But for this to be possible, we strive to feel small. Small enough to quickly change tack, small enough to learn from different teams and small enough to connect authentically with leadership. And one of the best parts? We give you the freedom to work from whatever working location works best for you and your lifestyle - yes, this means you can be 100% remote if you want to be! What We Offer <ul> <li>An inclusive and supportive work environment where you can move your career forward and will have the chance to do work that has real, significant impact on the world.</li> <li>The opportunity to be a part of a global group of digital marketplace businesses (CAR Group) located across Australia, Brazil, Chile and South Korea - collectively we have around 1,800 team members worldwide, and our Global Talent Exchange Program means you might just find yourself working in one of those businesses sometime soon.</li> <li>Plenty of flexible leave options and employee benefits including up to 31 days of paid time off in your first year, continuing education with access to LinkedIn Learning, a full benefits package including medical, dental &amp; vision, 401K with company match, and wellness program.</li> </ul> What You’ll Do We’re looking for a Senior Data Analyst to join our team and drive insights that enhance our customers’ understanding of user behavior and the path to purchase. This individual will play a key role in analyzing marketplace data across multiple websites to inform data-driven media planning &amp; marketing decisions for our partners. <ul> <li>Analyze user behavior to identify interests, predict actions, and map the path to purchase for RVs, motorcycles, boats, and commercial equipment</li> <li>Develop and maintain dashboards and reports using tools like Tableau and Power BI to enable self-serve insights for sales teams</li> <li>Work on sales attribution by combining cross-category sales data with on-site user shopping behavior to support the value of our partnerships</li> <li>Leverage multiple data sources to create innovative visualizations that better depict user engagement and the customer journey</li> <li>Collaborate with cross-functional teams to design the next generation of insights and analysis frameworks</li> <li>Provide actionable recommendations to improve customer engagement and product performance throughout the purchase journey</li> </ul> What We’re Looking For <ul> <li>4+ years of experience in data analysis, ideally within the media or digital space</li> <li>Proficiency in tools like Tableau, Power BI, and SQL</li> <li>Strong analytical skills with experience in user behavior analysis and predictive modeling</li> <li>Excellent communication skills, with the ability to present complex data in an easily understandable manner</li> <li>Experience working with diverse datasets and creating compelling visualizations</li> </ul> Bonus Points: <ul> <li>Bachelor’s degree in Data Science, Analytics, Statistics, or a related field (or equivalent experience)</li> <li>Basic coding skills in Python, R, or a similar language to support data preparation and advanced analysis</li> </ul> So come and join our team - because every role is a big role in our plans to go big. TI proudly supports a diverse workforce, and we encourage candidates from underrepresented groups to apply. Trader Interactive is an equal opportunity employer where hiring is based entirely on business needs, job requirements, and individual merit. <dl> <dt>Department</dt> <dd> Media </dd> <dt>Locations</dt> <dd> Remote USA </dd> <dt>Remote status</dt> <dd> Fully Remote </dd> </dl> Media · Remote USA · Fully Remote <h1>Senior Data Analyst</h1> <h2>Already working at Trader Interactive?</h2> Let’s recruit together and find your next colleague.

Trader Interactive

Senior Data Analyst

About Tala Tala is on a mission to unleash the economic power of the Global Majority – the 4 billion people overlooked by existing financial systems. With nearly half a billion dollars raised from equity and debt, we are serving millions of customers across three continents. Tala has been named by the Fortune Impact 20 list, CNBC’s Disruptor 50 five years in a row, CNBC’s World's Top Fintech Company, Forbes’ Fintech 50 list for eight years running, and Chief's The New Era of Leadership Award. We are expanding across product offerings, countries and crypto and are looking for people who have an entrepreneurial spirit and are passionate about our <a href="http://mission.By" target="_blank">m</a>ission. By creating a unique platform that enables lending and other financial services around the globe, people in emerging markets are able to start and expand small businesses, manage day-to-day needs, and pursue their financial goals with confidence. Currently, over nine million people across Kenya, the Philippines, Mexico, and India have used Tala products. Due to our global team, we have a remote-first approach, and also have offices in Santa Monica, CA (HQ); Nairobi, Kenya; Mexico City, Mexico; Manila, the Philippines; and Bangalore, India. Most Talazens join us because they connect with our mission. If you are energized by the impact you can make at Tala, we’d love to hear from you! The Role We are seeking a Senior Data Scientist – Causal Inference to tackle one of the world’s most pressing issues: financial inclusion. In this role, you will lead high-impact data science initiatives aimed at uncovering cause-and-effect relationships. Your efforts will drive strategic decision-making, optimize credit products, enhance customer experiences, and improve financial operations. You will manage the entire modeling process, from defining problems and developing causal models to deployment, evaluation, and continuous monitoring. Your expertise in causal inference, experimentation, and collaboration with stakeholders will be crucial in ensuring that data-driven insights lead to measurable business impact. As a customer-focused leader, you will independently drive data science initiatives that align with Tala’s mission of unleashing the economic power of the global majority. Your work will directly contribute to expanding financial access, improving credit outcomes, and shaping the future of inclusive finance.<h3>What You'll Do </h3> <ul> <li>Embed with business stakeholders to identify, test, and implement data science solutions with a particular focus on econometric models, experiments, and frameworks to assess challenging causal problems such as lifetime value or retention.</li> <li>Develop a roadmap in collaboration with stakeholders to organize and prioritize initiatives.</li> <li>Own full-cycle machine learning products from ideation and training to deployment into our production environment, including real-time inference and after-sale service. Obsess over machine learning products, deploying and iterating rapidly when necessary.</li> <li>Propose, design, and analyze large-scale online experiments and support business stakeholders with experimental design best practices.</li> <li>Become a multiplier for the data science team by sharing work, providing mentorship to junior team members, providing technical feedback, and developing work into shared team tooling.</li> <li>Be a thought partner for the business, leverage data insights and strong communication skills to influence company strategy. Develop roadmaps in collaboration with stakeholders to organize and prioritize initiatives.</li> </ul><h3>What You'll Need </h3> <ul> <li>4+ years of experience in a data science role or equivalent position.</li> <li>2+ years in a senior/lead position leading the execution of end-to-end machine learning solutions for business stakeholders.</li> <li>Fluency with Python and packages related to machine learning.</li> <li>Comfort with SQL.</li> <li>Experience with the full modeling cycle, from scoping and development through deployment, after-sale, and monitoring. Demonstrated delivery of business value in previous roles. </li> <li>Competency with statistics. Knowledge of experimental design and analysis. Previous experience with causal modeling techniques.</li> <li>Strong collaboration and communication skills. Ability to tell stories through data and effective visualization. </li> <li>Ability to thrive in, at times, ambiguous and complex environments.</li> <li>Desire to champion simple, robust systems and to deploy and iterate as needed.</li> </ul>Our vision is to build a new financial ecosystem where everyone can participate on equal footing and access the tools they need to be financially healthy. We strongly believe that inclusion fosters innovation and we’re proud to have a diverse global team that represents a multitude of backgrounds, cultures, and experience. We hire talented people regardless of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, or disability status.

Tala

Senior Data Scientist, Causal Inference

Affirm is reinventing credit to make it more honest and friendly, giving consumers the flexibility to buy now and pay later without any hidden fees or compounding interest.The ML Platform team is on a mission to build the core infrastructure that powers Affirm's intelligence. Affirm uses machine learning to assess and approve each BNPL transaction. Affirm’s ML models answer questions like: is the applicant willing and able to repay this loan? The role of the ML Platform team is to build the compute platform for training and serving all of Affirm's ML models and features. Online, we operate a feature store and model server that enable real-time feature computation and model scoring. Offline, we manage an environment for running large scale model training and data analysis. What You'll Do · You will be responsible for owning and delivering quarterly goals for your team, leading engineers on your team through ambiguity to solve open-ended problems, and ensuring that everyone is supported throughout delivery. · You will support your peers and stakeholders in the product development lifecycle by collaborating with product management, design &amp; analytics by participating in ideation, articulating technical constraints, and partnering on decisions that properly consider risks and trade-offs. · You will proactively identify project, process, technology or business issues, advocate for them, and lead in solving them. · You will support the operations and availability of your team’s artifacts by creating and monitoring metrics, escalating when needed, and supporting “keep the lights on” &amp; on-call efforts. · You will foster a culture of quality and ownership on your team by setting or improving code review and design standards for your team, and advocating for them beyond your team through your writing and tech talks. · You will help develop talent on your team by providing feedback and guidance, and leading by example. What We Look For · You have 4+ years of experience designing, developing and launching backend systems at scale using languages like Python or Kotlin. · You have a track record of developing highly available distributed systems using technologies like AWS, MySQL and Kubernetes. · You have experience defining a technical plan for the delivery of a significant feature or system component with an elegant, simple and extensible design. You write high quality code that is easily understood and used by others. · You are proficient at making significant changes in a large code base, and have developed a suite of tools and practices that enable you and your team to do so safely. · Your experience demonstrates that you take ownership of your growth, proactively seeking feedback from your team, your manager, and your stakeholders. · You have strong verbal and written communication skills that support effective collaboration with our global engineering team. · This position requires either equivalent practical experience or a Bachelor’s degree in a related field. Base Pay Grade - N Equity Grade - USA 8 Employees new to Affirm typically come in at the start of the pay range. Affirm focuses on providing a simple and transparent pay structure which is based on a variety of factors, including location, experience and job-related skills. Base pay is part of a total compensation package that may include equity rewards, monthly stipends for health, wellness and tech spending, and benefits (including 100% subsidized medical coverage, dental and vision for you and your dependents.) USA base pay range (CA, WA, NY, NJ, CT) per year: $190,000 - $240,000 USA base pay range (all other U.S. states) per year: $169,000 - $219,000 #LI-Remote Affirm is proud to be a remote-first company! The majority of our roles are remote and you can work almost anywhere within the country of employment. Affirmers in proximal roles have the flexibility to work remotely, but will occasionally be required to work out of their assigned Affirm office. A limited number of roles remain office-based due to the nature of their job responsibilities. We’re extremely proud to offer competitive benefits that are anchored to our core value of people come first. Some key highlights of our benefits package include: <ul> <li>Health care coverage - Affirm covers all premiums for all levels of coverage for you and your dependents </li> <li>Flexible Spending Wallets - generous stipends for spending on Technology, Food, various Lifestyle needs, and family forming expenses</li> <li>Time off - competitive vacation and holiday schedules allowing you to take time off to rest and recharge</li> <li>ESPP - An employee stock purchase plan enabling you to buy shares of Affirm at a discount</li> </ul> We believe It’s On Us to provide an inclusive interview experience for all, including people with disabilities. We are happy to provide reasonable accommodations to candidates in need of individualized support during the hiring process. [For U.S. positions that could be performed in Los Angeles or San Francisco] Pursuant to the San Francisco Fair Chance Ordinance and Los Angeles Fair Chance Initiative for Hiring Ordinance, Affirm will consider for employment qualified applicants with arrest and conviction records. By clicking "Submit Application," you acknowledge that you have read Affirm's <a href="https://docs.google.com/document/d/e/2PACX-1vRojeMpOCLuwt8xdkvjZStXkjQAHyOmnPgEPYdn7p4ed6G_ztjUE45tCIpbFxRZOA/pub" target="_blank">Global Candidate Privacy Notice</a> and hereby freely and unambiguously give informed consent to the collection, processing, use, and storage of your personal information as described therein.

Affirm

Senior Software Engineer, Backend (ML Platform)

Affirm is reinventing credit to make it more honest and friendly, giving consumers the flexibility to buy now and pay later without any hidden fees or compounding interest.After over a decade of building the market-leading BNPL network—serving 20M customers, driving $35B in annual GMV, and partnering with 300k merchants—Affirm is focused on its next ambitious chapter: transforming DTC shopping. At the center of this vision is our Marketplace, a fast-growing platform that operates with the agility of a start-up while leveraging the scale of an industry leader. We’re seeking a highly analytical and results-oriented leader to shape this pivotal growth engine. As a Marketplace Analytics Manager, you’ll play a critical role in optimizing offer performance, driving user engagement, and delivering both merchant value and profitability. Success requires balancing operational precision with strategic foresight in a dynamic, fast-paced environment. This high-impact role offers the chance to collaborate across Product, Revenue, Marketing, and Credit teams while driving actionable insights and measurable improvements. If you’re passionate about building at the intersection of data, technology, and commerce—and thrive in shaping the future—this is your opportunity to leave a lasting mark at Affirm. What You’ll Do <ul> <li> Oversee day-to-day decisions about which offers are surfaced to users, ensuring alignment with goals for engagement, GMV, conversion, and profitability, while building towards automation at scale. </li> <li> Develop and apply frameworks to prioritize competing merchant offers, including key seasonal promotions and high-visibility placements. </li> <li> Monitor marketplace performance metrics and adjust strategies based on indicators such as user engagement, relevance, merchant outcomes and customer LTV. </li> <li> Build and maintain dashboards and reports to track key Marketplace KPIs and support data-driven decision-making. </li> <li> Partner with Sales, Client Success and Marketing teams to grow Affirm’s network of marketplace partners and drive increased value to merchant partners. </li> <li> Collaborate with Product and Engineering teams to enhance the use of ranking algorithms and offer-matching tools. </li> <li> Contribute to strategic initiatives that test and refine new placement opportunities or optimize marketplace performance. </li> <li> Conduct loan-level profitability analyses to ensure offers and placements align with credit and financial performance goals, balancing consumer and merchant value. </li> <li> Analyze customer lifetime value (LTV) and customer acquisition costs (CAC) to evaluate the profitability of different user segments and inform offer placement strategies. </li> <li> Evaluate affiliate portfolio performance by integrating network data, identifying trends, and assessing the incremental impact of merchant-funded incentives on overall marketplace profitability. </li> </ul> What we look For <ul> <li> 7+ years in analytics; direct experience in analytics for marketplace businesses or platforms, with familiarity in affiliate models, offer prioritization and ranking algorithms strongly preferred. </li> <li>This position requires either equivalent practical experience or a Bachelor’s degree in a related field.</li> <li> Experience with data tools such as SQL, Python, and affiliate platforms (e.g., Affluent, Nucleus); Comfortable managing ETLs and working with engineering teams to optimize data pipelines. </li> <li> Deep understanding of the intersection of user experience, merchant outcomes, and profitability, with the ability to make tradeoffs that maximize overall marketplace value. </li> <li> Knowledge of backend search systems and relevance optimization is highly desirable. </li> <li> Proven ability to work with large datasets and perform complex analyses, including LTV/CAC evaluations, profitability assessments, and KPI tracking. </li> <li> Ability to align detailed operational work with broader business objectives. </li> <li> Proven experience working cross-functionally with technical and business teams to rapidly test, learn and deliver business objectives in a fast paced growth organization. </li> <li> Track record of driving results amidst competing priorities in fast-paced, dynamic environments. </li> </ul> Pay Grade - O Equity Grade - 12 Employees new to Affirm typically come in at the start of the pay range. Affirm focuses on providing a simple and transparent pay structure which is based on a variety of factors, including location, experience and job-related skills. Base pay is part of a total compensation package that may include equity rewards, monthly stipends for health, wellness and tech spending, and benefits (including 100% subsidized medical coverage, dental and vision for you and your dependents.) USA base pay range (CA, WA, NY, NJ, CT) per year: $205,000 - $255,000 USA base pay range (all other U.S. states) per year: $182,000 - $232,000 #LI-Remote Affirm is proud to be a remote-first company! The majority of our roles are remote and you can work almost anywhere within the country of employment. Affirmers in proximal roles have the flexibility to work remotely, but will occasionally be required to work out of their assigned Affirm office. A limited number of roles remain office-based due to the nature of their job responsibilities. We’re extremely proud to offer competitive benefits that are anchored to our core value of people come first. Some key highlights of our benefits package include: <ul> <li>Health care coverage - Affirm covers all premiums for all levels of coverage for you and your dependents </li> <li>Flexible Spending Wallets - generous stipends for spending on Technology, Food, various Lifestyle needs, and family forming expenses</li> <li>Time off - competitive vacation and holiday schedules allowing you to take time off to rest and recharge</li> <li>ESPP - An employee stock purchase plan enabling you to buy shares of Affirm at a discount</li> </ul> We believe It’s On Us to provide an inclusive interview experience for all, including people with disabilities. We are happy to provide reasonable accommodations to candidates in need of individualized support during the hiring process. [For U.S. positions that could be performed in Los Angeles or San Francisco] Pursuant to the San Francisco Fair Chance Ordinance and Los Angeles Fair Chance Initiative for Hiring Ordinance, Affirm will consider for employment qualified applicants with arrest and conviction records. By clicking "Submit Application," you acknowledge that you have read Affirm's <a href="https://docs.google.com/document/d/e/2PACX-1vRojeMpOCLuwt8xdkvjZStXkjQAHyOmnPgEPYdn7p4ed6G_ztjUE45tCIpbFxRZOA/pub" target="_blank">Global Candidate Privacy Notice</a> and hereby freely and unambiguously give informed consent to the collection, processing, use, and storage of your personal information as described therein.

44 Data Science Jobs in Wichita, KS, USA