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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. The Analytics Engineering team bridges the gap between data engineering, data science, and business analytics by building scalable, impactful data solutions. We transform raw data into actionable insights through robust pipelines, well-designed data models, and tools that empower stakeholders across the organization to make data-driven decisions. Our team combines technical expertise with a deep understanding of the business to unlock the full potential of our data. We prioritize data quality, reliability, and usability, ensuring stakeholders can rely on our data to drive meaningful outcomes. <h4>What We Do:</h4> <ul> <li> Trusted Data Sources: Develop and maintain foundational data models that serve as the single source of truth for analytics across the organization.</li> <li> Actionable Insights: Empower stakeholders by translating business requirements into scalable data models, dashboards, and tools.</li> <li> Cross-Functional Collaboration: Partner with engineering, data science, product, and business teams to ensure alignment on priorities and data solutions.</li> <li> Scalable Data Products: Build frameworks, tools, and workflows that maximize efficiency for data users, while maintaining high standards of data quality and performance.</li> <li> Outcome-Focused Solutions: Use modern development and analytics tools to deliver value quickly, while ensuring long-term maintainability.</li> </ul> What you’ll be doing: Analytics engineer is a hybrid Data Engineer/Data Scientist/Business Analyst role that has the expertise to understand data flows end to end, and the engineering toolkit to extract the most value out of it indirectly (building tables) or directly (solving problems, delivering insights). <ul> <li> Be the expert: Quickly build subject matter expertise in a specific business area and data domain. Understand the data flows from creation, ingestion, transformation, and delivery. <ul> <li> Examples: <ul> <li>Step into a new line of business and work with Engineering and Product partners to deliver first data pipelines and insights.</li> <li>Communicate with engineering teams to fix data gaps for downstream data users.</li> <li>Take initiative and accountability for fixing issues anywhere in the stack.</li> </ul> </li> </ul> </li> </ul> <ul> <li> Generate business value: Interface with stakeholders on data and product teams to deliver the most commercial value from data (directly or indirectly). <ul> <li> Examples: <ul> <li>Build out a new data model allowing multiple downstream DS teams to more easily unlock business value through experimentation and ad hoc analysis.</li> <li>Combine Eng details of the algo engine with stats and data expertise to come up with feasible solutions for Eng to make the algo better.</li> <li>Work with PMs to tie together new x-PG, and x-Product data into one holistic framework to optimize key financing product business metrics.</li> </ul> </li> </ul> </li> </ul> <ul> <li> Focus on outcomes not tools: Use a variety of frameworks and paradigms to identify the best-fit tools to deliver value. <ul> <li> Examples: <ul> <li>Develop new abstractions (e.g. UDFs, Python packages, dashboards) to support scalable data workflows/infra.</li> <li> Stand up a framework for building data apps internally, enabling other DS teams to quickly add value.U </li> <li>se established tools with mastery (e.g. Google Sheets, SQL) to quickly deliver impact when speed is top priority.</li> </ul> </li> </ul> </li> </ul> What We Look For in You: In addition to out of the box thinking, attention to detail, a sense of urgency and a high degree of autonomy and accountability, we expect you to have the following skills: <ul> <li> Data Modeling Expertise: Strong understanding of best practices for designing modular and reusable data models (e.g., star schemas, snowflake schemas).</li> <li> Prompt Design and Engineering: Expertise in prompt engineering and design for LLMs (e.g., GPT), including creating, refining, and optimizing prompts to improve response accuracy, relevance, and performance for internal tools and use cases.</li> <li> Advanced SQL: Proficiency in advanced SQL techniques for data transformation, querying, and optimization.</li> <li> Intermediate to Advanced Python: Expertise in scripting and automation, with experience in Object-Oriented Programming (OOP) and building scalable frameworks.</li> <li> Collaboration and Communication: Strong ability to translate technical concepts into business value for cross-functional stakeholders. Proven ability to manage projects and communicate effectively across teams.</li> <li> Data Pipeline Development: Experience building, maintaining, and optimizing ETL/ELT pipelines, using modern tools like dbt, Airflow, or similar.</li> <li> Data Visualization: Proficiency in building polished dashboards using tools like Looker, Tableau, Superset, or Python visualization libraries (Matplotlib, Plotly).</li> <li> Development Tools: Familiarity with version control (GitHub), CI/CD, and modern development workflows.</li> <li> Data Architecture: Knowledge of modern data lake/warehouse architectures (e.g., Snowflake, Databricks) and transformation frameworks.</li> <li> Business Acumen: Ability to understand and address business challenges through analytics engineering.</li> <li> Data savvy: Familiarity with statistics and probability.</li> <li> Bonus Skills:</li> <ul> <li>Experience with cloud platforms (e.g., AWS, GCP).</li> <li>Familiarity with Docker or Kubernetes.</li> </ul> </ul> Disclaimer: Applying for a specific role does not guarantee consideration for that exact position. Leveling and team matching are assessed throughout the interview process. ID: G2754 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 + benefits (including medical, dental, vision and 401(k)). Pay Range: $180,000—$212,000 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 Analytics Engineer

At Coinbase, our mission is to<a href="https://blog.coinbase.com/our-mission-strategy-and-culture-18a92a3bb0fa" target="_blank"> increase economic freedom around the world</a>, and we couldn’t do this without hiring the best people. We’re a group of hard-working overachievers who are deeply focused on building the future of finance and Web3 for our users across the globe, whether they’re trading, storing, staking or using crypto. Know those people who always lead the group project? That’s us. There are a few things we look for across all hires we make at Coinbase, regardless of role or team. First, we look for candidates who will thrive in a<a href="https://blog.coinbase.com/culture-at-coinbase-f0e1c2a99aff" target="_blank"> culture</a> like ours, where we default to trust, embrace feedback, and disrupt ourselves. Second, we expect all employees to commit to our<a href="https://blog.coinbase.com/coinbase-is-a-mission-focused-company-af882df8804" target="_blank"> mission-focused approach</a> to our work. Finally, we seek people who are excited to learn about and live crypto, because those are the folks who enjoy the intense moments in our sprint and recharge work culture. We’re a remote-first company looking to hire the absolute best talent all over the world. Ready to #LiveCrypto? Who you are: <ul> <li>You’ve got positive energy. You’re optimistic about the future and determined to get there. </li> <li>You’re never tired of learning. You want to be a pro in bleeding edge tech like DeFi, NFTs, DAOs, and Web 3.0. </li> <li>You appreciate direct communication. You’re both an active communicator and an eager listener - because let’s face it, you can’t have one without the other. You’re cool with candid feedback and see every setback as an opportunity to grow.</li> <li>You can pivot on the fly. Crypto is constantly evolving, so our priorities do, too. What you worked on last month may not be what you work on today, and that excites you. You’re not looking for a boring job.</li> <li>You have a “can do” attitude. Our teams create high-quality work on quick timelines. Owning a problem doesn’t scare you, but rather empowers you to take 100% responsibility for achieving our mission.</li> <li>You want to be part of a winning team. We’re stronger together, and you’re a person who embraces being pushed out of your comfort zone. </li> </ul> Data Science is a pivotal element of our operational strategy at Coinbase, influencing product, engineering, and decision-making processes. This role is integral to our senior leadership, investor relations, and peer teams– you will tackle complex, ambiguous questions that influence insights generation and decision making at the highest levels. What You'll Be Doing: <ul> <li>Engage with senior leadership to provide analytics and insights on business performance, competitive analysis and metric trends.</li> <li>Conduct exploratory data analysis (EDA) to uncover insights that explain business drivers and drive strategic decisions.</li> <li>Prepare and present clear, concise reports and dashboards for a senior-level audience, ensuring exceptional executive presence.</li> <li>Develop and maintain operational models and data pipelines to support data analysis and reporting.</li> <li>Develop and implement automated reporting solutions to streamline data collection, analysis and presentation</li> <li>Manage and prioritize data and analysis requests from Investor Relations, Finance leadership and executives, supporting high-stakes deliverables such as board presentations.</li> </ul> What We Look for in You: <ul> <li>A BA/BS or higher in a quantitative field such as Financial Engineering, Math, Statistics, Physics, or Computer Science. Preferably with ≥5+ years of relevant experience or a PhD in a quantitative field with with ≥3+ years of relevant experience</li> <li>Demonstrated experience in driving impactful data science projects that tackle ambiguous problem spaces. </li> <li>Ability to thrive in a fast-paced environment by effectively multitasking, prioritizing tasks, and managing competing demands</li> <li>Ability to influence stakeholders by synthesizing data learnings into compelling stories.</li> <li>Proven track record of effectively managing and communicating with senior leadership, including presenting complex information in a clear and concise manner</li> <li>Demonstrated ability in forecasting as well as building and maintaining data models, dashboards, and performance metrics.</li> <li>Experience in data analytics and supporting high-level executives such as CFOs and investor relations teams.</li> <li>Professional experience using SQL and Python.</li> <li>Understanding of the dynamics of working within a public company and managing sensitive stakeholder relationships.</li> <li>Demonstration of our core cultural values: clear communication, positive energy, continuous learning, and efficient execution.</li> </ul> ID: G2462 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 + benefits (including medical, dental, vision and 401(k)). Pay Range: $140,250—$206,000 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 complete this <a href="https://docs.google.com/forms/d/1aJ6-BSPwE5X5Dq7fJ9JixWF0_dRiNfrpMnn1NkvdRiA/edit?ts=62901076" target="_blank">intake form</a> 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 Scientist - Competitive Intelligence

About GoodLeap: GoodLeap is a technology company delivering best-in-class financing and software products for sustainable solutions, from solar panels and batteries to energy-efficient HVAC, heat pumps, roofing, windows, and more. Over 1 million homeowners have benefited from our simple, fast, and frictionless technology that makes the adoption of these products more affordable, accessible, and easier to understand. Thousands of professionals deploying home efficiency and solar solutions rely on GoodLeap’s proprietary, AI-powered applications and developer tools to drive more transparent customer communication, deeper business intelligence, and streamlined payment and operations. Our platform has led to more than $30 billion in financing for sustainable solutions since 2018. GoodLeap is also proud to support our award-winning nonprofit, GivePower, which is building and deploying life-saving water and clean electricity systems, changing the lives of more than 1.6 million people across Africa, Asia, and South America. Position Summary We are seeking an Analytics Engineer with skills in pipeline development and data visualization to support data enablement and operational reporting for our Mortgage teams, including sales, operations, and product. Our ideal candidate has a strong foundation in pipeline development and experience designing and building data dashboards, and is motivated to learn about data enablement and apply business context to data model and dashboard design. In this role, you will work closely with business stakeholders to structure data for easy access and analysis and to maintain and expand on data reports used by Mortgage business teams. You will also have the opportunity to work closely with other members of the Analytics team on foundational projects that link Mortgage data to other consumer information and empower analysts and business users across the company with more and easier access to data.<h3>Essential Job Duties &amp; Responsibilities </h3> <ul> <li>Engage with stakeholders and business teams to understand priorities and identify opportunities to advance their analytics solutions </li> <li>Provide support to stakeholders, triage requests, investigate data issues, and create ad hoc reports. </li> <li>Develop prototype reports and dashboards within an agile framework. Showcase expertise in visualization and storytelling with data best practices.</li> <li>Work with the team to define, implement, and test new data sources and transformations. </li> <li>Conduct QA activities for new development and enhancements. </li> <li>Provide input to Data Engineering on requirements and enhancements to existing data pipelines, data sets, and data platforms </li> <li>Assist in data modeling, transformation, and normalization projects</li> </ul><h3>Required Skills, Knowledge &amp; Abilities</h3> <ul> <li>BS in Computer Science, DS, or related technical degree or equivalent work experience </li> <li>1-3 years' experience as an Analytics Engineer, BI Analyst, Data Analyst, or similar role</li> <li>1+ years' hands-on SQL experience in a work environment </li> <li>Experience building reports and visualizations to represent data intuitively in Tableau or similar data visualization tools </li> <li>Experience with ETL processes, software development, and lifecycle awareness </li> <li>Strong communication skills, including the ability to clearly describe technical work to non-technical stakeholders </li> <li>Demonstrated ability to quickly learn new technologies and think critically about their strengths and weaknesses </li> <li>Analytical mindset and willingness to identify and question assumptions </li> <li>Experience in a Mortgage business and/or working with sales teams strongly preferred</li> </ul>Additional Information Regarding Job Duties and Job Descriptions: Job duties include additional responsibilities as assigned by one's supervisor or other managers related to the position/department. This job description is meant to describe the general nature and level of work being performed; it is not intended to be construed as an exhaustive list of all responsibilities, duties and other skills required for the position. The Company reserves the right at any time with or without notice to alter or change job responsibilities, reassign or transfer job position or assign additional job responsibilities, subject to applicable law. The Company shall provide reasonable accommodations of known disabilities to enable a qualified applicant or employee to apply for employment, perform the essential functions of the job, or enjoy the benefits and privileges of employment as required by the law. If you are an extraordinary professional who thrives in a collaborative work culture and values a rewarding career, then we want to work with you! Apply today!

GoodLeap LLC

Analytics Engineer, Mortgage

<h2>This is Engineering at Lattice</h2> Lattice’s Engineering team continuously works to better our product and our craft. We use a modern, cutting-edge tech stack and love experimenting with new technologies. We strive for maintainable, robust, and performant code. We’re highly collaborative and continuously iterative and work closely with designers and product managers. We prioritize not only great technical architecture but also an amazing product experience. <h3>About the Analytics Team</h3> Lattice’s Analytics team is on a mission to make people data more actionable and accessible across the product. We're building toward a dual-mandate future: <ul> <li> Analytics as a Service delivers embedded insights directly within Lattice products to support user workflows, by providing a platform for internal developers to easily integrate and expose analytics in their features. </li> <li> Analytics as an Experience is a centralized product offering, comprising the Explorer, Custom Reports, and Dashboards, and enables admins and managers to dig into data, uncover trends, and share insights to inform strategic decisions.</li> </ul> We’re hiring an Engineering Manager to lead this full-stack team and drive both tracks of our analytics strategy. You’ll shape the systems that power analytics across Lattice, support developer enablement, and help design intuitive, impactful user-facing experiences — all in close collaboration with cross-functional partners across Product and Design. <h2>What You Will Bring to the Table</h2> You have 4+ years of experience directly managing software engineers. In this capacity, you have been responsible for guiding and coaching the development of your direct reports, providing performance feedback, hiring, and fostering a diverse, collaborative, and inclusive team culture. <ul> <li>Proven ability to inspire, mentor, and develop high-performing teams.</li> <li>Track record of aligning technical work with organizational goals and driving impactful outcomes.</li> <li>Exceptional verbal and written communication skills, with an adjustable style to executives, engineers, and nontechnical staff.</li> <li>A strong commitment to Lattice’s mission and values, including Ship Shipmate Self, Clear Eyes, Own The Outcome, and What’s Next?</li> <li>You are comfortable with ambiguity, autonomy, and responsibility; you enjoy figuring out what needs to be done—and then doing it.</li> <li>You are empathetic and employee-focused: you care deeply about the people on your team, helping them to achieve their personal and professional goals, and enabling them to do the best work of their lives.</li> <li>Preferably, you have professional experience with the technologies with which we work (Node.js, React, Flow, GraphQL, Postgres, Amazon Web Services).</li> </ul> <h2>What You Will Do</h2> <ul> <li>Translate company strategy into actionable team goals and objectives, aligning technical initiatives with organizational priorities.</li> <li>Manage, coach, and inspire a team of engineers, fostering a culture of collaboration, innovation, learning, and growth.</li> <li>Mentor and coach engineers, promoting technical growth and aligning their development with team &amp; company objectives.</li> <li>Bring a relentless passion for continuous improvement for both engineering craft and processes.</li> <li>Ensure a delightful, reliable experience for Lattice customers worldwide while simultaneously enabling a rapid pace of development.</li> <li>Work with your team, Product, and Design to build new customer-facing products, and improve upon existing ones.</li> <li>Represent your team to the larger org. Ensure they receive public recognition for their success and take ownership of their failures.</li> </ul> ___ The estimated annual cash salary for this role is $187,500 - $234,500. This position is also eligible for incentive stock options, subject to the terms of Lattice’s applicable plans. Benefits: The Company offers the following benefits for this position, subject to applicable eligibility requirements: Medical insurance; Dental insurance; Vision insurance; Life, AD&amp;D, and Disability Insurance; Emergency Weather Support; Wellness Apps; Paid Parental Leave, Paid Time off inclusive of holidays and sick time; Commuter &amp; Parking Accounts; Lunches in the Office; Internet and Phone Stipend; One time WFH Office Set-Up Stipend; 401(k) retirement plan; Financial Planning; Learning &amp; Development Budget; Sabbatical Program; and Invest in Your People Fund *Note on Pay Transparency: Lattice provides an estimate of the compensation for roles that may be hired as required by state regulations. Compensation may vary based on (a) location, as Lattice factors in specific location when benchmarking compensation for most roles; (b) individual candidate skills and qualifications; and (c) individual candidate experience. Additionally, Lattice leverages current market data to determine compensation, so posted compensation figures are subject to change as new market data becomes available. The salary, other compensation, and benefits information is accurate as of the date of this posting. Lattice reserves the right to modify this information at any time, subject to applicable law. #LI-Linkedin <h2>About Lattice</h2> Lattice is on a mission to build cultures where employees and their companies thrive. In an age where employees have more choices than ever before, businesses that put employees first are winning 🏅– and Lattice is building the tools to empower those people-centric companies. Lattice is a people success platform that offers performance reviews, employee engagement surveys, real-time feedback, weekly check-ins, goal setting, and career planning in a way that allows companies to focus on employee development, growth, and engagement – yielding stronger employee retention, performance, and impact to the bottom line 📈. Since launching in 2016, we have grown to over 5,000+ customers globally, including brands like Loom, Robinhood, and Gusto. Lattice is committed to equal treatment and opportunity in all aspects of recruitment, selection, and employment without regard to gender, race, religion, national origin, ethnicity, disability, gender identity/expression, sexual orientation, veteran or military status, or any other category protected under the law. Lattice is an equal opportunity employer; committed to a community of inclusion, and an environment free from discrimination, harassment, and retaliation. By clicking the "Submit Application" button below, you consent to Lattice processing your personal information for the purpose of assessing your candidacy for this position in accordance with<a href="https://lattice.com/privacy/job-applicant-privacy-policy" target="_blank">Lattice's Job Applicant Privacy Policy</a>.

Lattice

Engineering Manager, 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. The Responsible AI team is part ofthe Advanced Technologies Group (ATG), Pinterest’s advanced machine learning team. ATG’s goal is to keep Pinterest at the forefront of machine learning technology across multiple use cases including recommendations, ranking, content understanding, and more. It is an applied team that works horizontally across the company on state of the art AI and ML and works on directly bringing that technology to the product in collaboration with product engineering teams. The team also publishes its work in applied research conferences, but the main goal of the team is to have a direct impact on business metrics. At Pinterest our goal is to inspire Pinners (our users) to live the life they love. The product is powered by state of the art ML algorithms which are used to understand both the billions of visually rich items on the platform and the interests of our 500M+ monthly active users and recommend inspiring personalized content to them. What this means is that ML at Pinterest is not only multi-modal utilizing image, text, and graph signals as input, but it needs to operate at a very large scale and often in a real time interactive user experience. Pinterest is known for being a positive and inspirational place on the internet and we believe that inspiration begins with representation and belonging. The Responsible AI team is a horizontal team that collaborates across the company on various initiatives. These range from Generative AI alignment, evaluation, and mitigations - ensuring these models are safe, bias-free, and aligned with Pinterest’s vision and policies - to championing ML Fairness and developing user-facing features that enhance our product for all users. This includes launching groundbreaking features such as user-controllable <a href="https://newsroom.pinterest.com/en/post/pinterest-expands-the-skin-tone-range-feature-to-more-countries" target="_blank">skin tone</a>, <a href="https://newsroom.pinterest.com/en-gb/post/pinterest-introduces-first-of-its-kind-hair-pattern-search-for-inclusive-beauty-results" target="_blank">hair pattern</a> search refinements, and more recently, <a href="https://newsroom.pinterest.com/news/pinterests-new-body-type-ranges-deliver-better-more-inclusive-search-results/" target="_blank">body type</a>. We are looking for a Tech Lead Engineer to steer pivotal engineering initiatives in the Responsible AI space, collaborating with senior leaders to refine and set our technical direction. You’ll help shape forward-thinking projects, develop advanced ML approaches rooted in fairness and equitability, and pioneer responsible AI safeguards for emerging technologies. By joining this team, you’ll make a lasting impact on our Pinners, our business, and the evolution of ethical AI at Pinterest. What you'll do: <ul> <li>Lead projects in the responsible AI frontier, to identify, avoid, and mitigate bias across a wide range of ML applications at Pinterest including generative AI. </li> <li>Collaborate with other engineering teams (trust and safety, user modeling, content understanding,) to leverage their platforms and signals and work with them to collaborate on the adoption and evaluation of Responsible AI practices and ML Fairness tooling across Pinterest.</li> <li>Mentor junior engineers on the Responsible AI team and across the company on the R-AI space.</li> <li>Work with the team and senior leaders at the company to define and drive technical strategy in this area.</li> </ul> What we're looking for: <ul> <li>Extensive, real-world experience applying advanced ML methods to production systems, with a strong track record in responsible technology - spanning fairness, ethics, and broader societal considerations.</li> <li>Deep familiarity with cutting-edge ML architectures (e.g., transformer-based models, 2-tower architectures, LLMs) and their applications in large-scale Search and Recommender Systems.</li> <li>Proven ability to measure, deploy, and refine fairness interventions and broader Responsible AI solutions at scale, bridging state-of-the-art research with tangible product impact.</li> <li>5+ years working experience in the engineering teams that build large-scale ML-driven user-facing products</li> <li>2+ years experience leading cross-team engineering efforts.</li> <li>Masters or PhD in Comp Sci or related fields</li> <li> Desired skills: <ul> <li>Demonstrated track record in shaping and executing large-scale technical roadmaps, balancing immediate needs with long-term vision, defining clear OKRs, and orchestrating cross-functional efforts to deliver production-grade solutions that significantly enhance user experiences.</li> <li>Deep expertise in designing and scaling backend and ML systems for high-traffic, user-facing products, with a full-stack understanding of system architecture, data pipelines, and model deployment workflows.</li> <li>Proven success in collaborating with engineering teams to deploy ML capabilities that improve fairness and reduce bias in recommendation, content understanding, and ranking systems at scale.</li> </ul> </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> </ul> #LI-SA1 #LI-REMOTE 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 $208,145—$364,254 USD Our Commitment to Inclusion: 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 Machine Learning Engineer - Responsible AI

<h2> AI Prompt Engineer </h2> <a href="#"> apply now </a> <a href="#"> Back To Search Results </a> LOCATION: Oklahoma City, Oklahoma FLEXIBILITY: Hybrid/Onsite SALARY: $85,000 - $115,000 SALARY: $85,000 - $115,000 POSTED: March 25, 2025 JOB TYPE: Direct Hire JOB ID: 30818 <h4>I want more jobs Like this in My inbox.</h4> <a href="#"> Job alerts </a> <h4> Job details </h4> <h4><a href="https://jobs.inceed.com/job/30818" target="_blank">To Apply for this Job Click Here</a></h4> Compensation: $85,000 – $115,000 Location: Oklahoma City, Oklahoma Position: AI Prompt Engineer Inceed has partnered with a great company to help find a skilled AI Prompt Engineer to join their team! This is an exciting opportunity for a professional with expertise in AI and machine learning to help shape and refine enterprise AI applications. The AI Prompt Engineer will play a crucial role in enhancing AI functionality, ensuring accuracy, and advising on AI-driven solutions. Responsibilities: <ul> <li>Collaborate with business units to identify and develop AI-driven solutions tailored to business challenges.</li> <li>Design, test, and refine AI prompts to enhance usability and effectiveness across various business scenarios.</li> <li>Stay up to date with advancements in machine learning, natural language processing, and AI prompting techniques.</li> <li>Conduct research and implement innovative AI solutions to improve existing models.</li> <li>Monitor AI system outputs for accuracy, bias, and performance, ensuring consistency and compliance.</li> <li>Work with stakeholders and technology teams to evaluate AI tooling, determining whether to build or buy solutions.</li> <li>Document requirements for AI implementations and assist in the selection or development of AI tools.</li> <li>Perform testing and validation of AI systems before deployment and continuously after production release.</li> </ul> Required Qualifications &amp; Experience: <ul> <li>Proficiency with data visualization tools such as Power BI.</li> <li>Experience with programming languages such as Python, SQL, or JSON.</li> <li>Strong understanding of AI, natural language processing, and large language models, particularly in prompt engineering.</li> <li>Ability to analyze and interpret prompt performance metrics to drive optimization.</li> <li>Bachelor’s degree</li> </ul> Nice to Have Skills &amp; Experience: <ul> <li>Experience with AI platforms and machine learning tools.</li> <li>Background in AI model fine-tuning and application management.</li> <li>Strong problem-solving skills with the ability to translate business challenges into AI-driven solutions.</li> </ul> Perks &amp; Benefits: <ul> <li>Comprehensive benefits package available</li> </ul> If you are interested in learning more about the AI Prompt Engineer opportunity, please submit your resume for consideration. Our client is unable to provide sponsorship at this time. We are Inceed, a staffing direct placement firm who believes in the possibility of something better. Our mission is simple: We’re here to help every person, whether client, candidate, or employee, find and secure what’s better for them. Inceed is an equal opportunity employer. Inceed prohibits discrimination and harassment of any type and affords equal employment opportunities to employees and applicants without regard to race, color, religion, sex, sexual orientation, gender identity, or expression, pregnancy, age, national origin, disability status, genetic information, protected veteran status, or any other characteristic protected by law. #LI-CM1 #LI-Hybrid #INDNRC <h4><a href="https://jobs.inceed.com/job/30818" target="_blank">To Apply for this Job Click Here</a></h4> <h4>I want more jobs Like this in My inbox.</h4> <a href="#"> Job alerts </a> <h5> Share This Job </h5> <a href="https://www.facebook.com/sharer.php?u=https://jobs.inceed.com/job/30818-ai-prompt-engineer-oklahoma-city-oklahoma/" target="_blank"> </a> <a href="https://twitter.com/intent/tweet?url=https://jobs.inceed.com/job/30818-ai-prompt-engineer-oklahoma-city-oklahoma/" target="_blank"> </a> <a href="https://www.linkedin.com/shareArticle?mini=true&amp;url=https://jobs.inceed.com/job/30818-ai-prompt-engineer-oklahoma-city-oklahoma/" target="_blank"> </a> Copied <a href="#"> </a> <h5> Share This Job </h5> <a href="https://www.facebook.com/sharer.php?u=https://jobs.inceed.com/job/30818-ai-prompt-engineer-oklahoma-city-oklahoma/" target="_blank"> </a> <a href="https://twitter.com/intent/tweet?url=https://jobs.inceed.com/job/30818-ai-prompt-engineer-oklahoma-city-oklahoma/" target="_blank"> </a> <a href="https://www.linkedin.com/shareArticle?mini=true&amp;url=https://jobs.inceed.com/job/30818-ai-prompt-engineer-oklahoma-city-oklahoma/" target="_blank"> </a> Copied <a href="#"> </a> <h4> Apply Now </h4> "*" indicates required fields <h2> About Us </h2> Inceed is a staffing and recruiting team full of people-loving people. Specializing in the IT and Finance &amp; Accounting fields, we thrill at the opportunity to help you discover the next step in your career or, as we call it, your “something better”. And with the broad reach of our multiple branches, we’re able to do so nationwide. It feels weird tooting our own horn, but we are super proud to be: (same list awards and recognitions) Once we synch up with you to discuss a job posting, we value connection above all else. After all, how can we know if it’s a culture fit, a lifestyle fit, a passion fit, if we don’t truly know the person behind the resume?

Inceed

AI Prompt Engineer

<h2> This is Data Science at Lattice </h2> As a Data Engineer on our Data Science team, you will play a pivotal role in designing, building, and optimizing our data infrastructure to support data-driven decision-making across the organization. You will collaborate closely with data scientists, analysts, and other stakeholders to deliver high-quality data solutions that meet business needs. Your responsibilities will include writing production-level data transformations, managing ETL processes, and ensuring the performance and reliability of our data warehouse. With your expertise in SQL, Python, and data orchestration tools like Airflow, you will drive best practices and contribute to the velocity of our team and the continuous improvement of our tech stack. <h2>What You Will Do</h2> <ul> <li>Write production-level data transformations to support stakeholders across data and business intelligence applications</li> <li>Create documentation and testing to ensure that our data is accurate and easily understandable</li> <li>Maintain and optimize performance of our data warehouse by designing efficient tables and storage processes</li> <li>Share methodologies and instruct other data team members on how to best write data transformations</li> <li>Collaborate with cross-functional teams to support data-driven initiatives and projects.</li> <li>Discover and institute best practices to ensure data quality across all facets of the data team</li> <li>Research and implement new tooling to enhance our tech stack</li> <li>Manage our ETL and other orchestrated processes through third party tools and first-party tools such as Airflow</li> <li>Enforce code quality by identifying and reducing tech debt, standardizing styles, and removing deprecated objects from code and downstream locations</li> <li>Work closely with data scientists, analysts, and other stakeholders to understand data requirements and deliver solutions</li> </ul> <h2>What You Will Bring to the Table</h2> <ul> <li>Fluency in SQL and dbt </li> <li>Proficiency in Python</li> <li>Experience with git and cloud platforms (e.g. AWS)</li> <li>Knowledge of data orchestration tools like Airflow, Prefect, or Dagster</li> <li>Excellent communication and collaboration skills</li> <li>High attention to detail and ability to think structurally about a solution </li> <li>Experience with a BI Tool (preferably Looker)</li> </ul> The estimated annual cash salary for this role is $123,000 - $154,000. This position is also eligible for incentive stock options, subject to the terms of Lattice’s applicable plans. Benefits: The Company offers the following benefits for this position, subject to applicable eligibility requirements: Medical insurance; Dental insurance; Vision insurance; Life, AD&amp;D, and Disability Insurance; Emergency Weather Support; Wellness Apps; Paid Parental Leave, Paid Time off inclusive of holidays and sick time; Commuter &amp; Parking Accounts; Lunches in the Office; Internet and Phone Stipend; One time WFH Office Set-Up Stipend; 401(k) retirement plan; Financial Planning; Learning &amp; Development Budget; Sabbatical Program; and Invest in Your People Fund *Note on Pay Transparency: Lattice provides an estimate of the compensation for roles that may be hired as required by state regulations. Compensation may vary based on (a) location, as Lattice factors in specific location when benchmarking compensation for most roles; (b) individual candidate skills and qualifications; and (c) individual candidate experience. Additionally, Lattice leverages current market data to determine compensation, so posted compensation figures are subject to change as new market data becomes available. The salary, other compensation, and benefits information is accurate as of the date of this posting. Lattice reserves the right to modify this information at any time, subject to applicable law. <h2>About Lattice</h2> Lattice is on a mission to build cultures where employees and their companies thrive. In an age where employees have more choices than ever before, businesses that put employees first are winning 🏅– and Lattice is building the tools to empower those people-centric companies. Lattice is a people success platform that offers performance reviews, employee engagement surveys, real-time feedback, weekly check-ins, goal setting, and career planning in a way that allows companies to focus on employee development, growth, and engagement – yielding stronger employee retention, performance, and impact to the bottom line 📈. Since launching in 2016, we have grown to over 5,000+ customers globally, including brands like Loom, Robinhood, and Gusto. Lattice is committed to equal treatment and opportunity in all aspects of recruitment, selection, and employment without regard to gender, race, religion, national origin, ethnicity, disability, gender identity/expression, sexual orientation, veteran or military status, or any other category protected under the law. Lattice is an equal opportunity employer; committed to a community of inclusion, and an environment free from discrimination, harassment, and retaliation. By clicking the "Submit Application" button below, you consent to Lattice processing your personal information for the purpose of assessing your candidacy for this position in accordance with<a href="https://lattice.com/privacy/job-applicant-privacy-policy" target="_blank">Lattice's Job Applicant Privacy Policy</a>.

Data Engineer

CBRE

Business Intelligence Director

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

<h2>This is Product at Lattice</h2> The Lattice Product team is on a mission to make work meaningful for companies across the world. Lattice is a unified people platform that includes both a modern HRIS and a comprehensive Talent Management suite that offers performance reviews, engagement surveys, real-time feedback, weekly check-ins, goal setting, and career and compensation planning. This allows companies to centralize employee data and drive development, growth, and engagement from a single system — leading to stronger retention, performance, and business impact. Since launching in 2016, we’ve grown to support over 5,000 customers globally. <h2>What You Will Do</h2> As a Lead Product Manager for our AI initiatives, you will be at the helm of transforming and expanding our AI-powered experiences across the Lattice platform. This is a high-impact role where you will have the autonomy to innovate and drive the strategic vision, ensuring that Lattice's AI capabilities remain at the cutting edge of HR technology. <ul> <li>Strategize closely with senior leadership and cross-functional teams to shape the future of Lattice's AI strategy and roadmap.</li> <li>Spearhead the development of multiple AI-powered features and agentic systems leveraging LLMs and/or ML technologies.</li> <li>Conduct thorough market analysis, user research, and data gathering to identify opportunities where AI can solve customer problems and deliver exceptional value.</li> <li>Define and refine product wireframes, scope, requirements, and detailed specifications for AI features, ensuring they are grounded in both technical feasibility and user needs.</li> <li>Establish and monitor key AI product KPIs and metrics, evaluating performance to guide continuous improvement and ensure AI experiences meet quality, safety, and ethical standards.</li> <li>Drive cross-functional collaboration with design, engineering, AI/ML, user research, product marketing, security, and legal teams to deliver sophisticated AI solutions that align with business goals.</li> <li>Maintain a deep understanding of AI/ML technology trends and competitive landscape, positioning Lattice as a thought leader in AI-powered HR solutions.</li> </ul> <h2>What You Will Bring to the Table</h2> <ul> <li>Minimum 7 years of progressive experience in product management, with specific expertise in AI/ML product development, preferably in B2B SaaS environments.</li> <li>A track record of success in leading AI product development from 0-to-1, with demonstrated business impact and customer adoption.</li> <li>Strong leadership skills, with experience mentoring other product managers and guiding cross-functional teams through complex AI initiatives.</li> <li>Deep understanding of AI/ML technologies, including generative AI, LLMs, and how they can be applied to workflow-heavy products.</li> <li>Strategic thinking with the ability to navigate complex tradeoffs across UX, data availability, AI reliability, technical complexity, and business priorities.</li> <li>Excellent communication skills, adept at articulating complex AI concepts to diverse audiences and influencing at all levels of the organization.</li> <li>Robust analytical skills, skilled in using data and metrics for decision-making.</li> <li>Entrepreneurial mindset, thriving in ambiguity and taking ownership in a dynamic environment.</li> </ul> The estimated annual cash salary for this role is $179,000 - $223,500. This position is also eligible for incentive stock options, subject to the terms of Lattice’s applicable plans. Benefits: The Company offers the following benefits for this position, subject to applicable eligibility requirements: Medical insurance; Dental insurance; Vision insurance; Life, AD&amp;D, and Disability Insurance; Emergency Weather Support; Wellness Apps; Paid Parental Leave, Paid Time off inclusive of holidays and sick time; Commuter &amp; Parking Accounts; Lunches in the Office; Internet and Phone Stipend; One time WFH Office Set-Up Stipend; 401(k) retirement plan; Financial Planning; Learning &amp; Development Budget; Sabbatical Program; and Invest in Your People Fund *Note on Pay Transparency: Lattice provides an estimate of the compensation for roles that may be hired as required by state regulations. Compensation may vary based on (a) location, as Lattice factors in specific location when benchmarking compensation for most roles; (b) individual candidate skills and qualifications; and (c) individual candidate experience. Additionally, Lattice leverages current market data to determine compensation, so posted compensation figures are subject to change as new market data becomes available. The salary, other compensation, and benefits information is accurate as of the date of this posting. Lattice reserves the right to modify this information at any time, subject to applicable law. #LI-Remote <h2>About Lattice</h2> Lattice is on a mission to build cultures where employees and their companies thrive. In an age where employees have more choices than ever before, businesses that put employees first are winning 🏅– and Lattice is building the tools to empower those people-centric companies. Lattice is a people success platform that offers performance reviews, employee engagement surveys, real-time feedback, weekly check-ins, goal setting, and career planning in a way that allows companies to focus on employee development, growth, and engagement – yielding stronger employee retention, performance, and impact to the bottom line 📈. Since launching in 2016, we have grown to over 5,000+ customers globally, including brands like Loom, Robinhood, and Gusto. Lattice is committed to equal treatment and opportunity in all aspects of recruitment, selection, and employment without regard to gender, race, religion, national origin, ethnicity, disability, gender identity/expression, sexual orientation, veteran or military status, or any other category protected under the law. Lattice is an equal opportunity employer; committed to a community of inclusion, and an environment free from discrimination, harassment, and retaliation. By clicking the "Submit Application" button below, you consent to Lattice processing your personal information for the purpose of assessing your candidacy for this position in accordance with<a href="https://lattice.com/privacy/job-applicant-privacy-policy" target="_blank">Lattice's Job Applicant Privacy Policy</a>.

148 Data Science Jobs in United States