Data Scientist Jobs in San Francisco, USA

Data Scientist, Finance & Payments at Whatnot. Apply via Ashby.

Data Scientist, Product Analytics at Whatnot. Apply via Ashby.

Data Scientist, Customer Experience at Whatnot. Apply via Ashby.

<div class="content-intro"><p><strong>Our Mission:</strong></p> <p>6sense's mission is to multiply what matters: growth, retention, and efficiency.  We envision a future where companies, teams and people reach their full potential.</p> <p><strong>Our People:</strong></p> <p>People are the heart and soul of 6sense. We serve with passion and purpose. We live by our Being 6sense values of Win as One Team, Stay Curious, Do The Right Thing, Own the Outcome, and Create Belonging.  Every 6sensor plays a part in defining the future of our industry-leading technology.  6sense is a place where difference-makers roll up their sleeves, take risks, act with integrity, and measure success by the value we create for our customers.  We want 6sense to be the best chapter of your career. </p></div><h2>About 6sense</h2> <p class="isSelectedEnd">6sense is revolutionizing how B2B organizations create, manage, and convert pipeline to revenue. Powered by AI, big data, and predictive analytics, our platform helps revenue teams identify buying intent, engage the right accounts, and drive growth.</p> <h2>The Opportunity</h2> <p class="isSelectedEnd">We're looking for a Senior Data Scientist (IC4) to join our growing AI and Data Science team. This is an exciting opportunity for an experienced ML practitioner who enjoys building production-grade AI systems and transforming cutting-edge research into impactful customer-facing products.</p> <p class="isSelectedEnd">You will work on advanced machine learning, NLP, LLMs, Agentic AI, and GenAI applications that directly influence product innovation and customer outcomes.</p> <h2>What You'll Do</h2> <ul data-spread="false"> <li>Design, build, and deploy scalable machine learning and AI solutions in production environments.</li> <li>Develop NLP and transformer-based systems for enterprise-scale applications.</li> <li>Build Agentic AI workflows leveraging frameworks such as LangGraph and LangChain.</li> <li>Own the end-to-end ML lifecycle, including: <ul data-spread="false"> <li>Data exploration</li> <li>Feature engineering</li> <li>Model development</li> <li>Evaluation</li> <li>Deployment</li> <li>Monitoring</li> </ul> </li> <li>Develop ranking, recommendation, classification, prediction, and optimization models.</li> <li>Partner closely with Product, Engineering, and Analytics teams to solve complex business problems.</li> <li>Improve performance, scalability, reliability, and observability of production ML systems.</li> <li>Contribute to AI platform architecture and technical strategy.

Data Scientist, Marketing at Figma. Apply directly on Figma's jobs board.

Data Scientist, Marketing at Figma (Engineering). Apply directly on Figma's jobs board.

Samba is a media intelligence company. We know what the world is watching, reading, and thinking about — in real time, at scale, across every screen. Our data exists with the consent of over a billion people, organized into the most complete picture of consumer attention ever built. The biggest brands in the world use that picture to make smarter decisions. We think it’s the most interesting data asset on the planet, because it’s the most culturally relevant.  ABOUT THE ROLE We are looking for a hands-on Data Scientist to own and deliver complex measurement science and modeling work at the core of our measurement and audience sciences products.  The role requires a deep, first-principles understanding of data science and machine learning — not just the ability to apply libraries, but the ability to reason clearly about model behavior, articulate trade-offs between approaches, and make defensible methodological decisions under ambiguity. This is emphatically a coding role — you will spend the majority of your time writing production-quality Python, building and evaluating models on large-scale viewership and web data, and delivering end-to-end ML solutions. You will work closely with Data Engineering, Product, and go-to-market teams.

About Rezo Therapeutics Rezo is a different kind of biopharma company. Our mission is to dramatically increase the success rate of drug development by building a disease-agnostic, fully-integrated, network biology platform that will redefine our understanding of human disease and ability to treat it.     We are leveraging a unique integrated approach, combining capabilities in genetics, proteomics, structural biology and AI to generate deep biological insights and novel therapeutic approaches.   Located in San Francisco’s vibrant Mission Bay neighborhood, Rezo is in close proximity to UCSF, numerous urban amenities, and outdoor recreational opportunities. We recognize that realizing our mission depends as much on our people as it does on our science and are building a workplace that fosters collaboration, respect, and diversity where contributing to your team’s success is valued as highly as individual achievements.  If you’re passionate about team science and breaking down barriers to progress in drug development, please consider joining us!  The Opportunity We are hiring at the Staff / Senior Staff level for a Bioinformatics / Data Scientist to join Rezo’s Computational Biology and AI Team. In this role, you will collaborate with an interdisciplinary group combining genetics, proteomics and structural biology to tackle challenging biological questions and develop transformative therapies. You will combine your deep expertise and statistical rigor to analyzing biological data with the ability to communicate clearly and effectively to biological and computational audiences. The impact of your work will extend beyond building tools and performing analyses to directly impact therapeutic program decisions. Joining Rezo at this stage provides an opportunity to make a meaningful impact in a fast-paced, collaborative environment.

Headquartered in San Diego, Mulligan Funding serves as a leading provider of working capital (Up to $5M) to the small and medium-sized businesses that fuel our country. Since 2008, we have prided ourselves on our collaborative, innovative, and customer-focused approach. Enjoying a period of unprecedented growth, driven by the combination of cutting-edge technology, human touch, and unwavering integrity, we are looking to add to our people first culture, with highly motivated and results-oriented professionals, to push the limits of what’s possible while creating value for all of our partners.   Mulligan Funding deploys a powerful combination of statistically grounded credit strategy and robust manual underwriting to deliver credit performance aligned with our risk appetite while providing an outstanding customer experience.   The Staff Data Scientist, Credit Strategy is a key member of the Risk Management team, responsible for designing, deploying, and optimizing end-to-end credit strategies that balance growth, profitability, and credit risk. This role plays a critical part in maximizing credit conversion and customer lifetime value while ensuring portfolio performance remains within established loss tolerances.   This position partners closely with Risk leadership, manual underwriting, Product, Engineering, and Data Science teams to build scalable, data-driven credit strategies that support sustainable growth and resilient portfolio construction.   This role follows a hybrid work schedule with three days onsite and two days remote each week, with Mondays designated as a mandatory onsite day.

Headquartered in San Diego, Mulligan Funding serves as a leading provider of working capital (Up to $5M) to the small and medium-sized businesses that fuel our country. Since 2008, we have prided ourselves on our collaborative, innovative, and customer-focused approach. Enjoying a period of unprecedented growth, driven by the combination of cutting-edge technology, human touch, and unwavering integrity, we are looking to add to our people first culture, with highly motivated and results-oriented professionals, to push the limits of what’s possible while creating value for all of our partners.   Mulligan Funding deploys a powerful combination of statistically grounded credit strategy and robust manual underwriting to deliver credit performance aligned with our risk appetite while providing an outstanding customer experience.   The Staff Data Scientist, Funnel Analytics & Optimization is a key member of the Risk & Analytics team, responsible for analyzing end-to-end customer funnel performance and designing analytical frameworks that drive meaningful improvements in conversion, efficiency, and customer outcomes for a small-business portfolio.   This role focuses on identifying friction points, drop-offs, and operational bottlenecks across the acquisition, underwriting, and application/funding funnel. The position partners closely with Risk leadership, Operations, Product, and Analytics teams to translate insights into actionable strategies that improve funnel conversion while maintaining strong risk discipline and customer experience.   This role follows a hybrid work schedule with three days onsite and two days remote each week, with Mondays designated as a mandatory onsite day.

Draup is a Series A-funded agentic AI company building the intelligence layer for how global enterprises make workforce and go-to-market decisions. We work with 250+ enterprise clients — including 5 of the Fortune 10 — processing 1B+ job descriptions, 850M+ professional profiles, and signals from 100+ labor databases. We are now building our Silicon Valley engineering team — a small, senior group focused on next-generation AI research and product. Location: San Francisco, SoMa — minimum 4 days per week in-office. What you'll do • Build and maintain ML models for classification, extraction, trend detection, and predictive scoring on large structured and unstructured datasets. • Design experiments and benchmarks to measure model accuracy, reduce bias, and validate outputs at scale. • Apply NLP techniques — embeddings, NER, text classification — to real-world data pipelines. • Partner with engineering to move models from experimentation to production; own monitoring and drift detection. • Build evaluation frameworks for AI-generated outputs across multiple product use cases. What we require • BS/MS in Statistics, Computer Science, Applied Mathematics, or a quantitative field. • 3–5 years of applied data science; minimum 2 years working with NLP or large-scale text data in production. • Strong Python (pandas, scikit-learn, PyTorch or TensorFlow); proficient in SQL. • Demonstrated track record of shipping models into production, not just producing analysis. • Experience with embedding models and semantic similarity at enterprise scale. • No visa sponsorship. Must be authorized to work in the US without current or future employer sponsorship.

Aircall is the world’s leading integrated customer communications and intelligence platform for growing businesses. Trusted by over 20,000 companies worldwide, Aircall unifies voice and digital channels into one seamless platform, offering one-click integrations with leading CRMs and over 100 business tools. With real-time, AI-powered insights and feedback, AI agents, and automation, we help sales and support teams save time on routine tasks, uncover opportunities, and deliver exceptional customer experiences. With a global team of 600+ across nine offices, Paris, New York, San Francisco, Sydney, Madrid, London, Berlin, Seattle, Mexico City, Aircall is transforming how businesses connect with their customers, driving smarter conversations, deeper relationships, and measurable success.   How We Work at Aircall: At Aircall, we believe in customer obsession, continuous learning, and delivering extraordinary outcomes. We value open collaboration, taking ownership, and making smart, informed decisions with speed and precision. If you thrive in a fast-paced, team-driven environment where curiosity, trust, and impact matter, you'll fit right in About the team Our Data team is the backbone of Aircall’s decision-making process, driving product development and business growth with cutting-edge data products, tools, and actionable insights   About the role As a Data Scientist, you will provide invaluable insights to our product and business teams, working closely with our product and engineering leaders. You'll support impactful initiatives including pricing, packaging, multi-product strategies and self-service approaches. You will collaborate cross-functionally with Engineering, Sales, Finance, Marketing, and Customer Relations to translate data needs into powerful solutions. You'll also establish best practices in analytics and mentor team members, ensuring high standards in data governance and insight generation.

Senior Data Scientist, Trust & Safety at Chime. Apply directly on Chime's jobs board.

Senior Data Scientist, Spending at Chime. Apply directly on Chime's jobs board.

Senior Data Scientist, Growth Product at Chime. Apply directly on Chime's jobs board.

Data Scientist, Growth Product at Chime. Apply directly on Chime's jobs board.

For each job on your resume, provide: the exact dates you held each job (from month/year to month/year) number of hours per week you worked (if part time). If you have volunteered your service through a National Service program (e.g., Peace Corps, Americorps), we encourage you to apply and include this experience on your resume. The GS-13 salary range starts at $108,019 per year. If you are a new federal employee, your starting salary will likely be set at the Step 1 of the grade for which you are selected. All candidates for Data Scientist positions must meet one of the following basic qualification requirements: A. Degree: Mathematics, statistics, computer science, data science or field directly related to the position. The degree must be in a major field of study (at least at the baccalaureate level) that is appropriate for the position. OR B. Combination of education and experience: Courses equivalent to a major field of study (30 semester hours) as shown in paragraph A above, plus additional education or appropriate experience. In addition to meeting the basic requirements above, applicants must demonstrate that they have at least one year of specialized experience equivalent to the GS-12 level in Federal service. Specialized experience is defined as: Developing and Constructing data pipelines using Structured Query Language (SQL) and scaling techniques; Applying advanced statistical techniques and programming languages such as R, Python, or SQL to explore/group data, test hypotheses, and predict outcomes; and Utilizing machine learning and artificial intelligence to extract insights from vast, varied, and intricate datasets. This position has a positive education requirement: Applicants must submit a copy of their college or university transcript(s) and certificates by the closing date of announcements to verify qualifications. If selected, an official transcript will be required prior to appointment.

For each job on your resume, provide: the exact dates you held each job (from month/year to month/year) number of hours per week you worked (if part time). If you have volunteered your service through a National Service program (e.g., Peace Corps, Americorps), we encourage you to apply and include this experience on your resume. The GS-14 salary range starts at $125776 per year. If you are a new federal employee, your starting salary will likely be set at the Step 1 of the grade for which you are selected. To qualify, you must have at least one year of specialized experience equivalent to the GS-13 level or higher in the Federal service. All candidates for Data Scientist positions must meet one of the following basic qualification requirements: A. Degree: Mathematics, statistics, computer science, data science or field directly related to the position. The degree must be in a major field of study (at least at the baccalaureate level) that is appropriate for the position. or B. Combination of education and experience: Courses equivalent to a major field of study (30 semester hours) as shown in paragraph A above, plus additional education or appropriate experience. This position has a positive education requirement: Applicants must submit a copy of their college or university transcript(s) and certificates by the closing date of announcements to verify qualifications. If selected, an official transcript will be required prior to appointment. SPECIALIZED EXPERIENCE: In addition to meeting the basic requirements above, applicants must demonstrate that they have at least one year of specialized experience equivalent to the GS-13 level in Federal service. Specialized experience is experience utilizing computer science, mathematical and statistical theories, techniques, and methods to gather, analyze, design, and construct new processes for modeling, interpreting, and/or reporting quantitative information, trends, relationships and correlations among or within data sets. Experience must include: ● Performing data analysis across data lifecycle (e.g. data collection, ingestion, storage, modeling, access, integration, analysis and decision support) to ensure compliance with the organization's mission; ● Implementing data collection and analysis utilizing analysis software (e.g. R Studio, Tableau), coding languages (e.g., python, java, scala), database structures, and/or queries using structured query language (SQL) to provide support on issues related to acquisition activities; ● Using programming language(s) as well as various applications to organize, manipulate, to derive meaning from big data (e.g. extremely large, disparate, unstructured, and/or otherwise complex datasets).; and ● Delivering presentations, (e.g. briefings, training sessions, and consultations) regarding the progress and/or results of projects/studies.

Staff Data Scientist, Algorithm, Financial Markets at Airwallex. Apply via Ashby.

Staff Data Scientist, Growth Analytics at Airwallex. Apply via Ashby.