Senior Data Analyst - Business Insights & Operations Spinwheel Solutions Inc.Senior Data Analyst - Business Insights & OperationsOakland, CARemoteFull timeBuild a Claude-powered natural-language query agent that turns a plain-English question ("which customers' API usage dropped last month?") into a MongoDB aggregation pipeline or a Redshift SQL query and returns a vetted answer, so Product, CS, and Leadership can self-serve instead of filing a request with Data. Today, Finance and Revenue Operations each run their own reports, but those systems sync on a limited, manual cadence, and no one owns the full picture: Product and Leadership lack visibility into how the platform is actually being used, revenue reporting is fragmented across tools, and customer usage and health data is inconsistent and hard to trust.
Data Scientist, Prenatal BillionToOneData Scientist, PrenatalMenlo Park, CA$139,340–$160,777 / yearPartner with stakeholders across the business to answer high-stakes questions with data - for example, helping the lab improve turnaround time, helping sales identify at-risk accounts and new business opportunities, supporting clinical affairs with data on samples and outcomes, supporting business metrics around new product launches, and informing executive decisions on growth and strategy. Responsibilities: Contribute across the full analytics stack for Prenatal - with guidance and support from senior team members - including ingesting data from disparate sources into our central data warehouse, building clean and well-tested data models, and delivering analyses, dashboards, and tooling that stakeholders can use directly.
Data Analyst / Engineer Expert In Recruitment SolutionsData Analyst / EngineerSunnyvale, CAWe are urgently looking for Data Analyst / Data Engineer (AI) professionals for an onsite opportunity in Sunnyvale, CA . Ex-Apple candidates are highly preferred , and profiles from top product companies are strongly encouraged.
Data Engineer AI Expert In Recruitment SolutionsData Engineer AISunnyvale, CA$65–$70 / hourWe are urgently looking for Data Analyst / Data Engineer (AI) professionals for an onsite opportunity in Sunnyvale, CA . Ex-Apple candidates are highly preferred , and profiles from top product companies are strongly encouraged.
Senior Data Scientist, Product Analytics HandshakeSenior Data Scientist, Product AnalyticsSan Francisco, CaliforniaThis is a highly impactful, hands-on role where you’ll own analytics strategy, influence product direction, and work alongside our Relevance (ML) team to ensure our models deliver measurable business impact. You’ll drive measurement and strategy across marketplace health, liquidity, pricing, and product-led growth, partnering closely with Product, Engineering, and Leadership to shape the future of our marketplace.
Data Scientist, Risk GustoData Scientist, RiskSan Francisco, CA$186,000–$230,000 / yearAbout the Role: As a Data Scientist supporting Risk, you will play a crucial role in leveraging experimentation, statistical inference, and causal analysis to drive strategic decision making that contributes to the overall success of our organization. With teams in Denver, San Francisco, and New York, we support more than 500,000 small businesses nationwide and are building a workplace that reflects the people we serve.
Research Engineer - Environments, Data and Post-Training MercorResearch Engineer - Environments, Data and Post-TrainingSan Francisco, CaliforniaYou’ll contribute directly to post-training and RLVR, synthetic data generation, and large-scale evaluation workflows that meaningfully impact frontier language models. Mercor Enterprise brings this same infrastructure to Fortune 500 companies: helping companies capture how their best people actually work, translating that expertise directly back into agents.
Sr. Data Architect, Large Scale Distributed Systems ProofpointSr. Data Architect, Large Scale Distributed SystemsSunnyvale, California$254,000–$349,250 / yearSF Bay Area, New York City Metro Area: Base Pay Range: 254,000.00 - 349,250.00 USD California (excludes SF Bay Area), Colorado, Connecticut, Illinois, Washington DC Metro, Maryland, Massachusetts, New Jersey, Texas, Washington, Virginia, and Alaska: Base Pay Range: 208,800.00 - 287,100.00 USD All other cities and states excluding those listed above: Base Pay Range: 187,000.00 - 257,180.00 USD The ideal candidate brings a proven track record of architecting and scaling production-grade systems at extreme scale , along with the ability to drive technical strategy, governance, and cross-functional alignment in a complex enterprise environment.
Engineering Manager, Research Data Platform AnthropicEngineering Manager, Research Data PlatformSan Francisco, CAWe work in two modes: we build platform components that other systems plug into (for example, a metrics library that training frameworks integrate to record and retrieve run data), and we own core datasets end to end (for example, the data pipeline behind RL transcripts). This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences.
Senior Machine Learning Data Curation Engineer XPeng MotorsSenior Machine Learning Data Curation EngineerSanta Clara, CA$174,720–$295,680 / yearXPENG is a leading smart technology company at the forefront of innovation, integrating advanced AI and autonomous driving technologies into its vehicles, including electric vehicles (EVs), electric vertical take-off and landing (eVTOL) aircraft, and robotics. Key Responsibilities: Dataset Lifecycle Management: Oversee the collection, organizing, cleaning, and maintenance of large-scale, high-quality datasets for model training.
Senior Manager, Infrastructure Data Science DataBricksSenior Manager, Infrastructure Data ScienceMountain View, CA$228,600–$314,250 / yearMore than 20,000 organizations worldwide - including adidas, AT&T, Bayer, Block, Mastercard, Rivian, Unilever, and 70% of the Fortune 500 - rely on the Databricks Data + AI Platform to build and scale data and AI apps, analytics and agents. Establish data frameworks that empower support teams to troubleshoot and resolve product issues faster, decreasing response times and enhancing customer experience and support quality.
Senior Data Engineer AdobeSenior Data EngineerSan Jose, CaliforniaAdobe’s industry-leading offerings including Adobe Acrobat Studio, Adobe Express, Adobe Firefly, Creative Cloud, Adobe Experience Platform, Adobe Experience Manager, and GenStudio enable people and businesses to turn ideas into impact, powered by AI and driven by human ingenuity. In California, the pay range for this position is $163,200 - $236,400 At Adobe, for sales roles starting salaries are expressed as total target compensation (TTC = base + commission), and short-term incentives are in the form of sales commission plans.
Data Scientist Pyramid Consulting, IncData ScientistPleasanton, CAExperience manipulating data sets and building statistical models, has a Master s or PHD in Statistics, Mathematics, Computer Science or another quantitative field, and is familiar with the following software tools: Coding knowledge and experience with several languages: C, C++, Java, JavaScript, etc. 4. Experience creating and using advanced machine learning algorithms and statistics: regression, simulation, scenario analysis, modeling, clustering, decision trees, neural networks, etc.
Data selection and quality evaluation for biological foundation models InceptiveData selection and quality evaluation for biological foundation modelsPalo Alto, CaliforniaOur team brings together vast expertise in molecular biology, machine learning, and software engineering, and we are all working towards becoming antedisciplinary, meaning we deepen the knowledge we have in our area of expertise while also expanding our knowledge of completely new fields. We approach our goals with a Beginner's mind, humbly and with fresh eyes, and aim to become the pioneers of a new discipline rooted in biology as much as in deep learning, whose impact will be realized together with out-of-the-box thinkers in business and entrepreneurship, defying established categorizations.
Pricipal Data Scientist AtlassianPricipal Data ScientistSan Francisco, California$206,100–$269,075 / yearThis is a high-impact, high-visibility role where you'll lead the full data science lifecycle: from defining the right questions and building robust models to influencing product strategy and communicating insights to senior leaders. Reporting to the Manager of Global Experiences Data Science, you'll bring deep technical expertise to complex, ambiguous problems — shaping how millions of users experience Atlassian's suite of products.
Technical Program Manager, AI Data Lila SciencesTechnical Program Manager, AI DataSan Francisco, Massachusetts$192,000–$272,000 / yearWe're looking for a Senior or Principal Technical Program Manager to join our AI Research team to drive multiple AI data generation and curation workstreams — standing up new project teams, keeping them on schedule, and incorporating that data into the model training pipeline. Full-time U.S. employees receive a comprehensive benefits program including medical, dental, and vision coverage; employer-paid life and disability insurance; flexible time off with generous company wide holidays; paid parental leave; an educational assistance program; commuter benefits, including bike share memberships for office based employees; and a company subsidized lunch program.
NewClient Reference Data Solutions Principal Engineer Wells Fargo BankClient Reference Data Solutions Principal EngineerSan Francisco, California$191,000–$305,000 / yearThey are accountable for execution of all applicable risk programs (Credit, Market, Financial Crimes, Operational, Regulatory Compliance), which includes effectively following and adhering to applicable Wells Fargo policies and procedures, appropriately fulfilling risk and compliance obligations, timely and effective escalation and remediation of issues, and making sound risk decisions. This role partners closely with business, product, architecture, cybersecurity, and engineering leaders to deliver scalable, resilient, secure, and AI-enabled platforms that support critical Markets onboarding, client data, settlement, fulfillment, and reference data capabilities.
Data Center Physical Security Systems Engineer OpenAI LLCData Center Physical Security Systems EngineerSan Francisco, CAFor unincorporated Los Angeles County workers: we reasonably believe that criminal history may have a direct, adverse and negative relationship with the following job duties, potentially resulting in the withdrawal of a conditional offer of employment: protect computer hardware entrusted to you from theft, loss or damage; return all computer hardware in your possession (including the data contained therein) upon termination of employment or end of assignment; and maintain the confidentiality of proprietary, confidential, and non-public information. As OpenAI's global compute footprint continues to expand, this role will partner closely with infrastructure engineering, hardware operations, networking, and regional operations teams to design and deploy scalable security architectures across a diverse portfolio of data center environments.
Staff Data Scientist, Monetization Character.AIStaff Data Scientist, MonetizationRedwood City, CaliforniaThis role focuses on enabling teams to design, launch, and iterate on data-informed, user-centric monetization experiences, while shaping how we measure, experiment with, and grow revenue without compromising the creativity and openness that define Character. 7+ years of experience as a Data Scientist working on consumer-facing products, ideally in chat, social, UGC, or entertainment platforms.
Associate Fraud Risk Data Scientist 5 Star RecruitmentAssociate Fraud Risk Data ScientistSan Jose, CaliforniaCollaborate with cross-functional stakeholders including product managers and engineering teams to deploy data-driven fraud models and AI solutions that operate at scale and in real time for end customers. 2-6 years of experience in machine learning/AI, data science, risk analytics & data analysis within relevant industry experience in eCommerce, online payments, user trust/risk/fraud, or investigation/product abuse.