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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 Fraud Strategy &amp; Analytics team works cross-functionally with Machine Learning, Product, Engineering, and Fraud Operations to combat fraudulent activities and to foster a safe platform. What You'll Do <ul> <li> Help support our team's fraud monitoring, detection and mitigation efforts </li> <li> Participate in a rotation serving as a main point of contact for fraud escalations </li> <li> Research emerging fraud trends by analyzing data and monitoring key fraud metrics to proactively identify and address potential risks </li> <li> Quickly respond to fraud rings and implement new strategies to mitigate emerging fraud threats and vulnerabilities </li> <li> Assist with development of our fraud monitoring strategy and identify any potential gaps </li> <li> Work closely with our cross functional partners to help improve our fraud decisioning systems </li> <li> Assist with evaluation and development of new external or internal features and signals to improve our fraud detection capabilities </li> </ul> What We Look For <ul> <li>Minimum 1 year of experience in fraud prevention, risk management, or related fields, including prior experience with data analytics in the finance or lending industry preferred.</li> <li>Proficiency with data analysis using SQL is required. Strong analytical skills with the ability to identify patterns, trends, and anomalies in data are essential. Hands-on experience using a scripting language, such as Python or R, for data analysis is strongly preferred.</li> <li>Passion for understanding and enhancing fraud detection systems to effectively identify and mitigate fraudulent activities.</li> <li>Working knowledge of the fundamentals of payment processing and an understanding of industry risk trends, including familiarity with risk strategy development</li> <li>Ability to communicate findings and recommendations clearly to both technical and non-technical audiences</li> <li>Strong time management skills and the ability to handle multiple projects and priorities</li> <li>Bachelor’s degree or equivalent practical experience in a quantitatively rigorous field like engineering, statistics, math, finance, economics desired</li> </ul> Pay Grade - I Equity Grade - 5 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: $115,000 - $155,000 USA base pay range (all other U.S. states) per year: $102,000 - $142,000 #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://www.affirm.com/global-candidate-privacy-notice" 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

Analyst I, Fraud Strategy and Analytics

About Pinterest: Millions of people across the world come to Pinterest to find new ideas every day. It’s where they get inspiration, dream about new possibilities and plan for what matters most. Our mission is to help those people find their inspiration and create a life they love. In your role, you’ll be challenged to take on work that upholds this mission and pushes Pinterest forward. You’ll grow as a person and leader in your field, all the while helping Pinners make their lives better in the positive corner of the internet. Creating a life you love also means finding a career that celebrates the unique perspectives and experiences that you bring. As you read through the expectations of the position, consider how your skills and experiences may complement the responsibilities of the role. We encourage you to think through your relevant and transferable skills from prior experiences. Our new progressive work model is called PinFlex, a term that’s uniquely Pinterest to describe our flexible approach to living and working. Visit our <a href="https://www.pinterestcareers.com/our-life/pinflex/" target="_blank">PinFlex</a> landing page to learn more. Pinterest's Core Retrieval Infrastructure team is responsible for building and maintaining the large scale, high performance recommendation and search system which serves billions of documents and hundreds millions users. This includes token retrieval, vector retrieval, hybrid retrieval and random walk based graph retrieval. These systems power all the Pinterest products including Pinterest HomeFeed, Search, and Shopping. What you’ll do: <ul> <li>Layout the technical roadmap for retrieval systems at Pinterest in keeping with the advancements in the industry and emerging product needs with Pinterest. </li> <li>Design and build large scale, high performance recommendation / search systems. And keep improving performance, scalability and stability.</li> <li>Drive cross functional collaborations with partner teams to add new functionalities to support all kinds of product innovations.</li> <li>Develop new high performance subsystems to support product innovation.</li> <li>Simplify and unify the serving stack to unlock faster product iterations.</li> <li>Mentor and develop team members technical and leadership skills</li> </ul> What we’re looking for: <ul> <li>8+ years of industry experience, ideally 2+ years retrieval infrastructure, 2+ years experience as a tech lead</li> <li>Domain experience in building large-scale serving systems</li> <li>Experience solving challenging, strategically-important technical problems</li> <li>Experience building technical roadmaps and executing on them through leading a team</li> <li>Experience working in the search (token and/or vector) retrieval space and/or knowledge on search or recommendation system</li> </ul> Relocation Statement: <ul> <li>This position is not eligible for relocation assistance. Visit our <a href="https://www.pinterestcareers.com/pinflex/" target="_blank">PinFlex</a> page to learn more about our working model.</li> </ul> In-Office Requirement Statement: <ul> <li>We let the type of work you do guide the collaboration style. That means we're not always working in an office, but we continue to gather for key moments of collaboration and connection.</li> <li>This role will need to be in the office for in-person collaboration 1-2 times every 6 months and therefore can be situated anywhere in the country. </li> </ul> #LI-HYBRID At Pinterest we believe the workplace should be equitable, inclusive, and inspiring for every employee. In an effort to provide greater transparency, we are sharing the base salary range for this position. The position is also eligible for equity. Final salary is based on a number of factors including location, travel, relevant prior experience, or particular skills and expertise. Information regarding the culture at Pinterest and benefits available for this position can be found <a href="https://www.pinterestcareers.com/pinterest-life/" target="_blank">here</a>. US based applicants only $160,520—$330,146 USD Our Commitment to Diversity: Pinterest is an equal opportunity employer and makes employment decisions on the basis of merit. We want to have the best qualified people in every job. All qualified applicants will receive consideration for employment without regard to race, color, ancestry, national origin, religion or religious creed, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, age, marital status, status as a protected veteran, physical or mental disability, medical condition, genetic information or characteristics (or those of a family member) or any other consideration made unlawful by applicable federal, state or local laws. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. If you require a medical or religious accommodation during the job application process, please complete <a href="https://forms.gle/sS24D4WboEKUZMQK6" target="_blank">this form</a> for support.

Pinterest

Staff Software Engineer, ML Feature Infra

What you can expect We are looking for a Senior Manager with a deep engineering background in building data solutions, including data pipelines, advanced machine learning models, data products and visualizations. The ideal candidate needs to have experience with large software telemetry data sets. You will be responsible for delivering data solutions that drive business transformations, working closely with product management and go-to-market teams. Reporting to the Global Head of Data &amp; Analytics, you’ll lead the delivery of solutions leveraging Zoom product telemetry data. The role requires extensive leadership in software engineering, people management, and technical depth across a multi-stack cloud data ecosystem. About the Team The Data Team drives data-informed decision-making at Zoom, supporting product development with behavioral insights and helping go-to-market teams with risk and buying propensity scores. We aim to deliver better products and sales outcomes while ensuring compliance with privacy and regulatory requirements for millions of users globally. What we’re looking for<ul> <li>Have a Master’s or Bachelor’s degree in Computer Science or a related field</li> <li>Have 15+ years experience in various data roles across data engineering, ML Engineering and data analytics, ideally in SaaS companies. At least 5 to 7 years of leadership experience</li> <li>Possess excellent people management skills with proven track record of performance management</li> <li>Experience in building data products using data technologies like Snowflake, DBT, Python, Airflow, Kafka, Tableau, GraphDB, Notebooks etc</li> <li>Show expertise in data architecture, compliance, data security, and governance. Proven experience in developing and operating cloud-based data solutions</li> <li>Present effective communication and interpersonal skills, with the ability to collaborate effectively with cross-functional teams</li> <li>Experience in delivering data solutions in Go-to-market domains is highly valued.</li> </ul>Ways of Working Our structured hybrid approach is centered around our offices and remote work environments. The work style of each role, Hybrid, Remote, or In-Person is indicated in the job description/posting.Benefits As part of our award-winning workplace culture and commitment to delivering happiness, our benefits program offers a variety of perks, benefits, and options to help employees maintain their physical, mental, emotional, and financial health; support work-life balance; and contribute to their community in meaningful ways. Click <a href="https://careers.zoom.us/benefits" target="_blank">Learn</a><a href="http://careers.zoom.us/benefits" target="_blank"> </a>for more information.About Us Zoomies help people stay connected so they can get more done together. We set out to build the best collaboration platform for the enterprise, and today help people communicate better with products like Zoom Contact Center, Zoom Phone, Zoom Events, Zoom Apps, Zoom Rooms, and Zoom Webinars. We’re problem-solvers, working at a fast pace to design solutions with our customers and users in mind. Here, you’ll work across teams to deliver impactful projects that are changing the way people communicate and enjoy opportunities to advance your career in a diverse, inclusive environment. Our Commitment​ We believe that the unique contributions of all Zoomies is the driver of our success. To make sure that our products and culture continue to incorporate everyone's perspectives and experience we never discriminate on the basis of race, religion, national origin, gender identity or expression, sexual orientation, age, or marital, veteran, or disability status. Zoom is proud to be an equal opportunity workplace and is an affirmative action employer. All your information will be kept confidential according to EEO guidelines.We welcome people of different backgrounds, experiences, abilities and perspectives including qualified applicants with arrest and conviction records and any qualified applicants requiring reasonable accommodations in accordance with the law.If you need assistance navigating the interview process due to a medical disability, please submit an <a href="https://form.asana.com/?k=OIuqpO5Tv9XQTWp1bNYd8w&amp;d=1127274756253361" target="_blank">Accommodations Request Form</a> and someone from our team will reach out soon. This form is solely for applicants who require an accommodation due to a qualifying medical disability. Non-accommodation-related requests, such as application follow-ups or technical issues, will not be addressed.#LI-Remote

Zoom

Senior Manager, Product Data & Analytics

Boddle Learning is on the lookout for a detail-oriented Data Analyst to collect, process, and analyze data across various teams to help drive business decisions. The ideal candidate will have strong analytical skills, experience with data visualization tools, and the ability to turn complex data into actionable insights. Responsibilities: <ul> <li>Collect, clean, and interpret data from various sources.</li> <li>Develop reports and dashboards to visualize key business metrics.</li> <li>Identify trends, patterns, and insights to support business decision-making.</li> <li>Work closely with cross-functional teams (marketing, product, finance, etc.) to understand data needs and provide insights.</li> <li>Use statistical techniques to analyze data and improve business processes.</li> <li>Ensure data accuracy and integrity by implementing data quality checks.</li> <li>Create and maintain documentation of data processes and insights.</li> <li>Stay updated with industry trends and best practices in data analysis.</li> <li>Systematize measurement of data across organization to drive user acquisition and retention growth</li> </ul> Required Qualifications: <ul> <li>Bachelor’s degree in Computer Science, Software Engineering, Statistics, Mathematics, Economics, or a related field</li> <li>Proficiency in SQL, Excel, and Tableau</li> <li>Strong problem-solving skills and attention to detail</li> <li>Excellent communication and data storytelling abilities</li> <li>Ability to work independently and collaboratively in a fast-paced environment</li> </ul> Preferred Qualifications: <ul> <li>Experience with statistical programming languages (Python, R)</li> <li>2+ years of experience in data analysis, business intelligence, or a related role.</li> <li>Familiarity with machine learning concepts and predictive analytics● Knowledge of cloud-based data platforms (e.g., AWS, Google BigQuery, Snowflake).</li> </ul> Why Boddle? At Boddle Learning, we are passionate about creating engaging and educational gaming experiences. As a Data Analyst, you will be at the forefront of helping our teams make data informed decisions that drive company growth and impact millions of kids. Join us in our mission to make learning fun and impactful! Application Process: To apply, please submit your resume to <a href="#">edna@boddlelearning.com</a>.

Boddle

Data Analyst

Req ID: 76042 Location: Tulsa -TUL Areas of Interest: Treasury Services; Business/Technical Analysis; Finance; Professional Pay Transparency Salary Range: Not Available Application Deadline: 02/21/2025 BOK Financial Corporation Group includes BOKF, NA; BOK Financial Securities, Inc. and BOK Financial Private Wealth, Inc. BOKF, NA operates TransFund and Cavanal Hill Investment Management, Inc. BOKF, NA operates banking divisions: Bank of Albuquerque; Bank of Oklahoma; Bank of Texas and BOK Financial®. <h2>Bonus Type</h2> Formula Based <h2>Summary</h2> If you are interested in a career in Treasury Services with an industry-leading provider of sophisticated financial solutions, you've come to the right place. Our commitment to you is a positive work environment, a deep connection to our communities, and a focus on putting our clients first. We believe no challenge is too big and no opportunity is too small when we work together to build relationships. <h2>Job Description</h2> The Treasury Data Analyst provides data analytic support and generates reports to track sales revenue, expense management, profitability analysis and performance forecasting to help the Treasury line of business meet financial and revenue goals. <h2>Team Culture</h2> Our culture thrives on integrity, collaboration, and innovation. We create an inclusive environment where team members are empowered to share their perspectives and drive success. Our dedication to continuous learning keeps us at the forefront of industry trends, enabling us to deliver exceptional solutions for our clients. Join us to be part of an energetic, supportive, and visionary team where your skills are celebrated, and your career can thrive. <h2>How You'll Spend Your Time</h2> <ul> <li>You will assist with SQL coding, research, and document data table workflows.</li> <li>You will collect, analyze, and provide final data elements for communications and campaigns.</li> <li>You will maintain daily, weekly, and monthly reporting and distribution.</li> <li>You will develop and manage a data directory of IT/Ops systems and their managers.</li> <li>You will update RM to TMO assignments weekly/monthly in Impacs and Weiland.</li> <li>You will update Salesforce Objects, maintain reports and dashboards, and serve as a help desk for Salesforce.</li> <li>You will manage multiple projects, the TS Reporting email box, JIRA stories, and update Beacon and Sharepoint pages.</li> </ul> <h2>Education &amp; Experience Requirements</h2> This level of knowledge is acquired through completion of a Bachelor’s Degree in Business Administration, Finance, Accounting or related degree with 1+ years relevant banking experience or an equivalent combination of education and experience. <ul> <li>Knowledge of Treasury Service banking products and services.</li> <li>Knowledge of accounting and finance principles and practices.</li> <li>Knowledge of SQL coding, Weiland and Impacs systems.</li> <li>Intermediate/Advanced knowledge of Excel, Microsoft Suite, Power BI. </li> <li>Excellent interpersonal, verbal, and written communication skills.</li> <li>Strong data management and organizational skills. </li> <li>Self-motivated; strong follow-through and commitment to owning and delivering results. </li> </ul> BOK Financial Corporation Group is a stable and financially strong organization that provides excellent training and development to support building the long term careers of employees. With passion, skill and partnership you can make an impact on the success of the bank, customers and your own career! Apply today and take the first step towards your next career opportunity! The companies in BOK Financial Corporation Group are equal opportunity employers. We are committed to providing equal employment opportunities for training, compensation, transfer, promotion and other aspects of employment for all qualified applicants and employees without regard to sex, race, color, religion, national origin, age, disability, pregnancy status, sexual orientation, genetic information or veteran status. Please contact <a href="#">recruiting_coordinators@bokf.com</a> with any questions.

Bank of Oklahoma

Treasury 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

Distinguished AI Engineer (Remote Eligible)Overview:At Capital One, we are creating responsible and reliable AI systems, changing banking for good. For years, Capital One has been an industry leader in using machine learning to create real-time, personalized customer experiences. Our investments in technology infrastructure and world-class talent — along with our deep experience in machine learning — position us to be at the forefront of enterprises leveraging AI. From informing customers about unusual charges to answering their questions in real time, our applications of AI &amp; ML are bringing humanity and simplicity to banking. We are committed to continuing to build world-class applied science and engineering teams to deliver our industry leading capabilities with breakthrough product experiences and scalable, high-performance AI infrastructure. At Capital One, you will help bring the transformative power of emerging AI capabilities to reimagine how we serve our customers and businesses who have come to love the products and services we build.Team Description:The Intelligent Foundations and Experiences (IFX) team is at the center of bringing our vision for AI at Capital One to life. We work hand-in-hand with our partners across the company to advance the state of the art in science and AI engineering, and we build and deploy proprietary solutions that are central to our business and deliver value to millions of customers. Our AI models and platforms empower teams across Capital One to enhance their products with the transformative power of AI, in responsible and scalable ways for the highest leverage impact. In this role, you will: <ul><li>Partner with a cross-functional team of engineers, research scientists, technical program managers, and product managers to deliver AI-powered products that change how our associates work and how our customers interact with Capital One.</li></ul><ul><li>Design, develop, test, deploy, and support AI software components including foundation model training, large language model inference, similarity search, guardrails, model evaluation, experimentation, governance, and observability, etc.</li></ul><ul><li>Leverage a broad stack of Open Source and SaaS AI technologies such as AWS Ultraclusters, Huggingface, VectorDBs, Nemo Guardrails, PyTorch, and more.</li></ul><ul><li>Invent and introduce state-of-the-art LLM optimization techniques to improve the performance — scalability, cost, latency, throughput — of large scale production AI systems.</li></ul><ul><li>Contribute to the technical vision and the long term roadmap of foundational AI systems at Capital One.</li></ul>The Ideal Candidate:<ul><li>You love to build systems, take pride in the quality of your work, and also share our passion to do the right thing. You want to work on problems that will help change banking for good. </li></ul><ul><li>Passion for staying abreast of the latest research, and an ability to intuitively understand scientific publications and judiciously apply novel techniques in production.</li></ul><ul><li>You adapt quickly and thrive on bringing clarity to big, undefined problems. You love asking questions and digging deep to uncover the root of problems and can articulate your findings concisely with clarity. You have the courage to share new ideas even when they are unproven.</li></ul><ul><li>You are deeply Technical. You possess a strong foundation in engineering and mathematics, and your expertise in hardware, software, and AI enable you to see and exploit optimization opportunities that others miss. </li></ul><ul><li>You are a resilient trail blazer who can forge new paths to achieve business goals when the route is unknown. </li></ul>Capital One is open to hiring a Remote Employee for this opportunityBasic Qualifications:<ul> <li>Bachelor's degree in Computer Science, Engineering, or AI plus at least 8 years of experience developing AI and ML algorithms or technologies, or Master's degree plus at least 6 years of experience developing AI and ML algorithms or technologies</li> <li>At least 8 years of experience programming with Python, Go, Scala, or Java</li> </ul>Preferred Qualifications:<ul> <li>8 years of experience deploying scalable and responsible AI solutions on cloud platforms (e.g. AWS, Google Cloud, Azure, or equivalent private cloud)</li> <li>Experience architecting, designing, developing, integrating, delivering, and supporting complex AI systems </li> <li>Demonstrated ability to lead and mentor multiple engineering teams and influence cross-functional stakeholders up to the VP level</li> <li>Experience developing AI and ML algorithms or technologies (e.g. LLM Inference, Similarity Search and VectorDBs, Guardrails, Memory) using Python, C++, C#, Java, or Golang</li> <li>Master's degree in Computer Science, Computer Engineering, or relevant technical field</li> <li>Experience developing and applying state-of-the-art techniques for optimizing training and inference software to improve hardware utilization, latency, throughput, and cost</li> <li>Passion for staying abreast of the latest AI research and AI systems, and judiciously apply novel techniques in production</li> <li>Excellent communication and presentation skills, with the ability to articulate complex AI concepts to peers</li> </ul> Capital One will consider sponsoring a new qualified applicant for employment authorization for this position.The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked.Remote (Regardless of Location): $239,900 - $273,800 for Distinguished AI Engineer McLean, VA: $263,900 - $301,200 for Distinguished AI Engineer New York, NY: $287,800 - $328,500 for Distinguished AI Engineer San Francisco, CA: $287,800 - $328,500 for Distinguished AI Engineer Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate’s offer letter.This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan.Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the <a href="https://www.capitalonecareers.com/benefits" target="_blank">Capital One Careers website</a>. Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level.This role is expected to accept applications for a minimum of 5 business days.No agencies please. Capital One is an equal opportunity employer committed to diversity and inclusion in the workplace. All qualified applicants will receive consideration for employment without regard to sex (including pregnancy, childbirth or related medical conditions), race, color, age, national origin, religion, disability, genetic information, marital status, sexual orientation, gender identity, gender reassignment, citizenship, immigration status, protected veteran status, or any other basis prohibited under applicable federal, state or local law. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections 4901-4920; New York City’s Fair Chance Act; Philadelphia’s Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries.If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1-800-304-9102 or via email at <a href="#">RecruitingAccommodation@capitalone.com</a>. All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations.For technical support or questions about Capital One's recruiting process, please send an email to <a href="#">Careers@capitalone.com</a>Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site.Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).

Capital One

Distinguished AI Engineer (Remote Eligible)

Lead Data Engineer - Capital One Software (Remote)Ever since our first credit card customer in 1994, Capital One has recognized that technology and data can enable even large companies to be innovative and personalized. As one of the first large enterprises to go all-in on the public cloud, Capital One needed to build cloud and data management tools that didn’t exist in the marketplace to enable us to operate at scale in the cloud. And in 2022, we publicly announced Capital One Software and brought our first B2B software solution, Slingshot, to market.Building on Capital One’s pioneering adoption of modern cloud and data capabilities, Capital One Software is helping accelerate the data management journey at scale for businesses operating in the cloud. If you think of the kind of challenges that companies face – things like data publishing, data consumption, data governance, and infrastructure management – we’ve built tools to address these various needs along the way. Capital One Software will continue to explore where we can bring our solutions to market to help other businesses address these same needs going forward. We are seeking top tier talent to join our pioneering team and propel us towards our destination. You will be joining a team of innovative product, tech, and design leaders that tirelessly seek to question the status quo. As a Capital One Lead Data Engineer, you’ll have the opportunity to be on the forefront of building this business and bring these tools to market.What You’ll Do:<ul> <li>Collaborate with and across Agile teams to design, develop, test, implement, and support technical solutions in full-stack development tools and technologies</li> <li>Work with a team of developers with deep experience in data engineering, analytics, machine learning, distributed microservices, and full stack systems</li> <li>Utilize programming languages like Java, Scala, Python and Open Source RDBMS and NoSQL databases and Cloud based services such as Redshift and Snowflake</li> <li>Share your passion for staying on top of tech trends, experimenting with and learning new technologies, participating in internal &amp; external technology communities, and mentoring other members of the engineering community</li> <li>Collaborate with digital product managers, and deliver robust cloud-based solutions that drive powerful experiences to help millions of Americans achieve financial empowerment</li> <li>Perform unit tests and conduct reviews with other team members to make sure your code is rigorously designed, elegantly coded, and effectively tuned for performance</li> </ul>Basic Qualifications: <ul> <li>Bachelor’s Degree </li> <li>At least 4 years of experience in application development (Internship experience does not apply)</li> <li>At least 2 years of experience in big data technologies </li> <li>At least 1 year experience with cloud computing (AWS, Microsoft Azure, Google Cloud)</li> </ul>Preferred Qualifications:<ul> <li>7+ years of experience in application development including Python, SQL, Scala, or Java</li> <li>4+ years of experience with a public cloud (AWS, Microsoft Azure, Google Cloud)</li> <li>4+ years experience with Distributed data/computing tools (MapReduce, Hadoop, Hive, EMR, Kafka, Spark, Gurobi, or MySQL)</li> <li>4+ year experience working on real-time data and streaming applications </li> <li>4+ years of experience with NoSQL implementation (Mongo, Cassandra) </li> <li>4+ years of data warehousing experience (Redshift, Snowflake, Databricks) </li> <li>4+ years of experience with UNIX/Linux including basic commands and shell scripting</li> <li>2+ years of experience with Agile engineering practices </li> </ul>At this time, Capital One will not sponsor a new applicant for employment authorization for this position.The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked.Remote (Regardless of Location): $175,800 - $200,700 for Lead Data Engineer Richmond, VA: $175,800 - $200,700 for Lead Data Engineer Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate’s offer letter.This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan.Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the <a href="https://www.capitalonecareers.com/benefits" target="_blank">Capital One Careers website</a>. Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level.This role is expected to accept applications for a minimum of 5 business days.No agencies please. Capital One is an equal opportunity employer committed to diversity and inclusion in the workplace. All qualified applicants will receive consideration for employment without regard to sex (including pregnancy, childbirth or related medical conditions), race, color, age, national origin, religion, disability, genetic information, marital status, sexual orientation, gender identity, gender reassignment, citizenship, immigration status, protected veteran status, or any other basis prohibited under applicable federal, state or local law. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections 4901-4920; New York City’s Fair Chance Act; Philadelphia’s Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries.If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1-800-304-9102 or via email at <a href="#">RecruitingAccommodation@capitalone.com</a>. All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations.For technical support or questions about Capital One's recruiting process, please send an email to <a href="#">Careers@capitalone.com</a>Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site.Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).

Lead Data Engineer - Capital One Software (Remote)

Ready to be a Titan?As a member of the Operations data science team supporting our infrastructure cost efficiency team, you will use machine learning and data-driven insights to reduce cost, support infrastructure planning, and deliver delightful experiences to our customers. Your work will directly impact one of ServiceTitan’s largest expense items and help ensure uptime of the entire application. This is a rare opportunity to blend machine learning with strategic thinking at a fast growing firm in a way that will be visible to top executives within ServiceTitan. What you'll do:<ul> <li>Partner with key business stakeholders at ServiceTitan </li> <li>Build machine learning systems from the ground up and design scalable data science systems</li> <li>Deliver cutting edge forecasting and optimization expertise, driving best practices across all infrastructure spending at ST</li> <li>Transform insights gained from data into actionable business recommendations</li> <li>Champion and execute long-term strategic projects that grow ServiceTitan’s platform in the Home Service industry </li> <li>Invent bold and creative solutions that aim to solve our current and future business problems</li> </ul>What you’ll need:<ul> <li>MS/Ph.D in Data Science, Statistics, Applied Mathematics, Engineering, or similar quantitative discipline required </li> <li>8+ years experience as a data scientist developing predictive business models with at least 5 years of experience in time series forecasting, anomaly detection, and/or optimization</li> <li>Strong background using data science python packages like xgboost, scipy, pytorch, scikit-learn, statsmodels, skforecast, and H2O</li> <li>Experience building and deploying resource-constrained optimization models in production</li> <li>Strong understanding of what drives costs and optimization opportunities in cloud environments (e.g. reserved instances, compute utilization, etc.)</li> <li>Able to combine model results (e.g. forecasts/anomaly detection) with clear business understanding to create actionable business recommendations </li> <li>Great communication skills including communicating complex concepts to business stakeholders </li> <li>A passion for discovery, problem solving and practical business outcomes in partnership with engineering leadership</li> </ul>Preferred experience: <ul> <li>Experience with large language models (Claude, Llama, etc.)</li> <li>History of contributing to open source projects</li> <li>Peer reviewed publications in forecasting </li> <li>Experience with Azure </li> <li>Experience with bidding recommendation engines (e.g. optimizing spot pricing)</li> <li>Deep experience with Cloud Services Providers products, services and their pricing models.</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 $154,000 USD - $220,000 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

Lead Data Scientist, Infrastructure Optimization

Job Description:As a Senior Product Manager, AI &amp; DSML, you will be at the forefront of developing AI-powered solutions that shape the future of technical learning. You’ll work across machine learning engineering, data science, UX, design, marketing, and sales to create intelligent, data-driven products that help personalize learning and help technologists advance in their careers. This is an exciting PM role—you’ll be the voice of the customer while defining the roadmap for AI-driven learning experiences and keeping your technical skills sharp. This is an exciting opportunity to lead, innovate, and stay hands-on with AI/ML advancements. If you're ready to drive impact at scale and be a thought leader in AI-driven learning, we want to hear from you! Who you’re committed to being: <ul> <li>You enjoy learning and are open to new ways of doing things.</li> <li>When communicating you are self-aware, insightful, and proactive.</li> <li>You are a team member first and individual contributor second. You are aware that high-performing teams are only as strong as their weakest link.</li> <li>You believe in continuous improvement and request frequent feedback from others.</li> </ul> What you’ll do: <ul> <li>Drive the strategic direction of our AI, Data Science and Machine Learning teams.</li> <li>Lead the technical development of our internal DS/ML teams and be able to translate technical concepts for our businesses and lead out the roadmap accordingly</li> <li>Experience in active contribution in service-oriented architecture discussions and development</li> <li>Create new foundational practices and be unafraid to drive new methodologies of technical implementation across internal teams</li> <li>Foster relationships with customer facing and business development teams to escalate and prioritize issues</li> <li>Manage every stage of the product development life-cycle from ideation through development, GTM delivery and launch</li> <li>Enable clear communication and collaboration across the organization for best practices for Identity solutions and integrations</li> <li>Empower users of our website with a seamless access experience and unlock content access for internal teams</li> </ul> Experience you’ll bring: <ul> <li>Experienced in AI, Data Science and Machine Learning and building centralized, internal API models for the organization</li> <li>Foundational knowledge of Analytics and BI tools with a demonstrated ability to understand data concepts</li> <li>Passionate about delivering technical products and solutions that impact our business and our customers</li> <li>Demonstrated ability to understand both business needs and the underpinnings of our product vision as well as effectively communicate with engineers and stakeholders within the organization</li> </ul> Requirements: <ul> <li>5+ years of technical product management experience</li> <li>Deep knowledge and demonstrated application of product management methodologies and best practices, and a strong foundation of user-centered design.</li> <li>Technical degree and/or experience (e.g. Computer Science, Data, Engineering, Information Systems, etc.)</li> </ul> Travel Requirements: While Pluralsight operates under a remote and hybrid work model, we believe that in-person connection and collaboration are important. Recurring travel to our HQ in Utah may be required depending on the role and team member location. Why you’ll love working here: <ul> <li>We’re remote- and hybrid-friendly</li> <li>We’re mission driven and guided by our culture pillars</li> <li>We have a strong commitment to diversity and belonging</li> <li>We cultivate a culture of trust, autonomy, and collaboration</li> <li>We’re lifelong learners and champion team member growth and advancement</li> <li>We’ve got you covered - team member benefits include competitive compensation packages, medical coverage, unlimited PTO and Summer Fridays, wellness reimbursements, Pluralsight subscription, professional development funds and more.</li> </ul> About us: We’re Pluralsight, the technology workforce development company that helps teams build better by knowing more and working better together. Using our Skills, Flow, and Cloud products, teams can develop critical skills, improve processes and gain data-driven insights. Learning and development are at the core of who we are. We’re out to help every technologist build better, and we’re looking for curious, talented people to help us inspire and empower the tech workforce to achieve their goals. Our culture of autonomy, continuous learning, and collaboration creates an environment for growth and empowers us to drive impact through innovation. Physical and Mental Requirements: Work is performed in an office (or home office) environment and requires the ability to operate office equipment and keyboards. Sedentary work. Repetitive work. Ability to perform tasks related to documentation, data analysis, transcription and extensive content analysis. Learn new tasks, remember processes, complete tasks independently, and make timely decisions in the context of a workflow. EEOC Statement Bring yourself. Pluralsight is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, sexual orientation, gender identity, disability, age or protected veteran status. Pluralsight will also consider for employment qualified applicants with criminal histories in a manner consistent with EEOC guidelines and applicable local law. 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. Please visit the <a href="https://www.pluralsight.com/careers" target="_blank">bottom of our website</a> to learn how to request an accommodation. For more information on Pluralsight’s commitment to building a more diverse and inclusive workforce, please review our most recent Diversity, Equity, Inclusion and Belonging report <a href="https://www.pluralsight.com/about/diversity-and-belonging" target="_blank">here</a>. The annual US base salary range for this role is $131,500 - $162,300 USD. Pluralsight's pay ranges vary based on work location. Talent Acquisition can share more detail during the hiring process when applicable. Each candidate’s compensation offer will be based on multiple factors including, but not limited to, geography, experience, skills, job duties, and business need, among other things. In addition to the base salary, this role may also be eligible for benefits and bonuses. Applications must be submitted within 90 days after the initial posting date to be considered. #LI-JM2

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