Data engineer jobs in Danville, CA - 23,954 jobs

Join the Team That's Redefining Wireless Technology At Tarana, we're more than just a fast-growing tech company-we're a team of bold innovators on a mission to revolutionize broadband. Our groundbreaking Fixed Wireless Access technology is delivering fiber-class internet speeds worldwide, bridging the digital divide in ways previously thought impossible. We're looking for anexceptional Principal Data Scientist to join our team and drive innovation through advanced analytics and machine learning. In this lead role, you will shape our data science strategy, mentor talented team members, and deliver high-impact solutions that transform how we leverage data to achieve business objectives. What You'll Do: Lead end-to-end data science projects from problem formulation through model development, deployment, and monitoring in production environments. Design and implement advanced machine learning algorithms, statistical models, and AI solutions that drive business value. Provide technical leadership and mentorship to junior data scientists and data engineers, fostering a culture of excellence and continuous learning. Partner with engineering teams to architect scalable data pipelines and ML infrastructure. Establish best practices for experimentation, model training, model evaluation, and monitoring. Stay current with the latest advancements in data science, machine learning, and artificial intelligence. Collaborate with cross‑functional teams, including product, engineering, and business stakeholders, to identify and address key business challenges. Present findings and recommendations to senior leadership and other stakeholders. What You'll Need: Master's or Ph.D. in Computer Science, Statistics, Mathematics, or a related quantitative field. 10+ years of experience in data science or a related field (at least the last 5 years in data science), with a proven track record of leading impactful projects that achieve clear customer outcomes through product delivery. Deep expertise in machine learning techniques, including supervised and unsupervised learning, deep learning, NLP, computer vision, or reinforcement learning. Strong programming skills in Python or R, with experience in ML frameworks (TensorFlow, PyTorch, scikit‑learn). Proficiency in SQL and experience working with large‑scale datasets and distributed computing frameworks (Spark, Dask). Demonstrated experience deploying models to production and monitoring model performance. Demonstrated cross‑functional experience with diverse teams across the organization. Excellent communication skills with the ability to explain complex technical concepts to non‑technical audiences. Strong business acumen and ability to connect data science work to organizational objectives. Experience mentoring and developing junior team members. Bonus Points For: Experience in cloud platforms (AWS, GCP, Azure) and MLOps practices. Track record of publishing research or contributing to open‑source projects. Experience with A/B testing and causal inference methodologies. Knowledge of data engineering principles and ETL processes. Leadership experience in managing or leading data science teams. What we offer: We don't just build next‑gen wireless technology - we build people. The salary range for this position is: $200,000 to $260,000 Compensation will be determined based on several factors including, but not limited to: skill set, years of experience and the employee's geographic location. Tarana provides competitive benefits to employees in this role including: Medical, dental and vision benefits, 401K match, flexible time off and stock option. Join Tarana and help shape the future of wireless connectivity. About Us Tarana's mission is to accelerate the deployment of fast, affordable, and reliable internet access around the world. Through a decade of R&D and over $400M of investment, the Tarana team has created and continues to enhance a suite of next‑generation fixed wireless access (ng FWA) technologies. Its unique ng FWA platform delivers game‑changing advances in broadband economics in mainstream and underserved markets, using both licensed and unlicensed spectrum. Tarana's ng FWA technology has been embraced by more than 300 service providers in 24 countries. Tarana is headquartered in Milpitas, California, with additional research and development in Pune, India. Learn more at *********************** #J-18808-Ljbffr

We are a third-party recruiting partner representing a fast-growing enterprise AI company building production-grade conversational agents used by well-known brands. Backed by top-tier investors and recently funded at Series C, the company is scaling quickly and is investing in a world-class data function to drive product strategy and measurable business impact. What You Will Do Lead the design, implementation, and interpretation of rigorous experiments (A/B and multivariate) to inform product and customer experience decisions. Perform deep-dive analyses on user behavior, product performance, and business outcomes; translate findings into clear recommendations. Define and evolve core metrics, data models, and dashboards to ensure consistent, trustworthy reporting across teams. Partner with Product, Engineering, and leadership to embed measurement best practices into development cycles and launch reviews. Evaluate and help reason about machine-learning systems (including LLM-based features): clarify assumptions, trade-offs, and business implications. Contribute to the modern analytics stack (e.g., pipelines, modeling, and self-serve tools) that empowers company-wide decision-making. Communicate insights to executive and cross-functional audiences in a concise, persuasive way. Ideal Candidate Background 5+ years of experience in data science or product analytics with a track record of driving measurable product impact. Advanced proficiency in SQL and Python, and strong foundations in statistics and experimental design. Demonstrated experience designing, running, and analyzing experiments at scale for consumer, marketplace, or enterprise products. Ability to analyze and interpret ML model behavior, limitations, and impact on user outcomes. Excellent communication and stakeholder management skills; comfortable influencing product direction. Bachelor's degree in a quantitative field (e.g., Data Science, Statistics, Mathematics, Computer Science) or equivalent practical experience. Ability to work on-site in San Francisco (five days per week). Preferred Experience building/maintaining analytics data models and metrics layers (e.g., dbt) and orchestrating pipelines (e.g., Airflow). Familiarity with modern warehouses/BI (e.g., Snowflake/BigQuery, Looker/Mode) and large-scale data processing (e.g., Spark). Prior work evaluating LLM or recommendation systems and developing evaluation frameworks for AI/ML features. Background in high-scale products with strong experimentation cultures. Experience mentoring other analysts/scientists and elevating experimentation/measurement practices. Compensation, Benefits, and Other Details Base Salary: $250,000-$300,000, based on skills, experience, and interview performance. Equity: Role is equity-eligible. Benefits: Our client offers a comprehensive benefits package that may include medical, dental, and vision coverage, paid time off, parental leave, retirement savings options, and commuter support. Specifics will be discussed during the interview process. Work Authorization: Candidates of all backgrounds are encouraged to apply. Work authorization and any sponsorship availability will be discussed confidentially with the recruiting team. #J-18808-Ljbffr

Employment Type Full time Department Cloud Engineering Crusoe is building the World's Favorite AI-first Cloud infrastructure company. We're pioneering vertically integrated, purpose-built AI infrastructure solutions trusted by Fortune 500 companies to power their most advanced AI applications. Crusoe is redefining AI cloud infrastructure, with a mission to align the future of computing with the future of the climate. Our AI platform is recognized as the "gold standard" for reliability and performance. Our data centers are optimized for AI workloads and are powered by clean, renewable energy. Be part of the AI revolution with sustainable technology at Crusoe. Here, you'll drive meaningful innovation, make a tangible impact, and join a team that's setting the pace for responsible, transformative cloud infrastructure. About This Role: Join Crusoe Energy as a Staff Data Scientist, an early and pivotal hire on our growing central Data Science and Engineering team. This full-time position offers you the unique opportunity to drive significant impact across product analytics, operations, go-to-market strategies, and capacity planning, playing a key role in Crusoe's mission to meet the ever-increasing demand for AI infrastructure and innovate sustainably. What You'll Be Working On: Develop Forecasting & Analysis Models: Build and deploy models for capacity planning, financial forecasting, and product analysis to drive strategic decisions. Perform Root Cause Analysis & Prediction: Investigate operational incidents and predict failures, implementing solutions for system reliability and efficiency. Analyze Cloud Infrastructure Products: Conduct deep analysis of cloud infrastructure product usage and performance to identify areas for improvement and guide feature development. Champion Data Quality & Infrastructure: Lead initiatives to maintain high-quality data and contribute to the scalable evolution of our modern data infrastructure. What You'll Bring to the Team: Analytical Expertise: Demonstrate deep familiarity with core analytical methods including Monte Carlo simulation, predictive analytics, and time series modeling. Technical Fluency: Possess proficiency in SQL and Python for data analysis, alongside a strong understanding of current data infrastructure architectures. Data Visualization Proficiency: Familiarity with data visualization tools (e.g., Tableau, Power BI, Looker) to communicate insights effectively. Commitment to Quality: Show a proven track record and passion for data quality. Ownership: As an early hire on the data science team, you'll be expected to act autonomously to drive forward analytics projects. Bonus Points (but not requirements): Advanced degree (Master's or Ph.D.) in a quantitative field (e.g., Data Science, Statistics, Computer Science) or equivalent experience. Experience building cloud infrastructure (e.g., AWS, GCP, Azure). Experience on a growing or early-stage data team, contributing to foundational development. Benefits: Industry competitive pay Restricted Stock Units in a fast growing, well-funded technology company Health insurance package options that include HDHP and PPO, vision, and dental for you and your dependents Employer contributions to HSA accounts Paid Parental Leave Paid life insurance, short-term and long-term disability Teladoc 401(k) with a 100% match up to 4% of salary Generous paid time off and holiday schedule Cell phone reimbursement Tuition reimbursement Subscription to the Calm app MetLife Legal Company paid commuter benefit; $200 per month Compensation: Compensation will be paid in the range of $233,000 - $282,000. Restricted Stock Units are included in all offers. Compensation to be determined by the applicant's education, experience, knowledge, skills, and abilities, as well as internal equity and alignment with market data. Crusoe is an Equal Opportunity Employer. Employment decisions are made without regard to race, color, religion, disability, genetic information, pregnancy, citizenship, marital status, sex/gender, sexual preference/orientation, gender identity, age, veteran status, national origin, or any other status protected by law or regulation. #J-18808-Ljbffr

Our Company Changing the world through digital experiences is what Adobe's all about. We give everyone-from emerging artists to global brands-everything they need to design and deliver exceptional digital experiences! We're passionate about empowering people to create beautiful and powerful images, videos, and apps, and transform how companies interact with customers across every screen. We're on a mission to hire the very best and are committed to creating exceptional employee experiences where everyone is respected and has access to equal opportunity. We realize that new ideas can come from everywhere in the organization, and we know the next big idea could be yours! The Opportunity Join a high-impact team driving product growth and innovation at scale! The Express Data Science team is looking for a Principal Data Scientist, who thrives at the intersection of data, product, and strategy to help us unlock growth opportunities for Adobe Express. For the next phase of Express Growth, we need a Data Science Leader that will lead Strategic Growth Levers, innovate and drive experimentation at scale, set the standard for Technical leadership and rigor within growth, and influence the broader org in the process. We need a leader for ambiguous, high-impact growth bets-connecting user behavior to business outcomes, while managing multiple workstreams together. What You'll Do Identifying Growth Levers using Data - Lead growth opportunity identification across user lifecycle driving product engagement, improving retention and premium enablement. Build the next generation of experimentation beyond A/B tests to a fast, scalable and rigorous system - and synthesize takeaways across tests into durable product direction within the growth and data science. Partner with other data teams to innovate. Introduce new technologies and techniques within experimentation for the product, enhance experimentation strategy for Express, and drive efficiency and measurement at scale. Sets the bar for measurement quality, signal detection, and interpretability of results. Work with cross functional teams within express to bring consistency to experimentation architecture, success metric definitions, and analytic tooling. Ensures the team scales not just in size, but also in maturity and decision making Lead high-priority analytics projects that influence product direction and business strategy. Analyze user engagement, retention, and conversion data to surface actionable insights. Design and analyze tests to guide product development and optimize user experiences. Mentor junior team members and elevate data culture across the org. What You'll Bring 10+ years of experience in product data science. Proven experience a Deep fluency in SQL and proficiency in Python or R. Demonstrates deep understanding of industry standards - Experience building causal and predictive models and working with large-scale behavioral datasets. Experience leading technical teams and driving data rigor Experience with Adobe Analytics, Amplitude, Tableau / Power BI A strategic approach with a bias for action and measurable outcomes. Strong communication skills-you simplify complexity and drive clarity. Our compensation reflects the cost of labor across several U.S. geographic markets, and we pay differently based on those defined markets. The U.S. pay range for this positionis $145,600 -- $276,400 annually. Paywithin this range varies by work locationand may also depend on job-related knowledge, skills,and experience. Your recruiter can share more about the specific salary range for the job location during the hiring process. 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. Non-sales roles starting salaries are expressed as base salary and short-term incentives are in the form of the Annual Incentive Plan (AIP). In addition, certain roles may be eligible for long-term incentives in the form of a new hire equity award. State-Specific Notices: California: Fair Chance Ordinances Adobe will consider qualified applicants with arrest or conviction records for employment in accordance with state and local laws and “fair chance” ordinances. Colorado: Application Window Notice If this role is open to hiring in Colorado (as listed on the job posting), the application window will remain open until at least the date and time stated above in Pacific Time, in compliance with Colorado pay transparency regulations. If this role does not have Colorado listed as a hiring location, no specific application window applies, and the posting may close at any time based on hiring needs. Massachusetts: Massachusetts Legal Notice It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability. Adobe is proud to be an Equal Employment Opportunityemployer. We do not discriminate based on gender, race or color, ethnicity or national origin, age, disability, religion, sexual orientation, gender identity or expression, veteran status, or any other applicable characteristics protected by law.Learn more. Adobe aims to make Adobe.com accessible to any and all users. If you have a disability or special need that requires accommodation to navigate our website or complete the application process, emailaccommodations@adobe.comor call **************. #J-18808-Ljbffr

A leading technology firm in San Francisco is seeking an experienced Data Scientist to accelerate growth initiatives. This role involves collaborating with various teams to provide data-driven insights, performing deep analyses on user behavior, and designing A/B tests. The ideal candidate has 6-8 years of experience, proficiency in SQL, and is experienced with BI tools. The cash compensation ranges from $200,000 to $250,000, with additional equity considerations. #J-18808-Ljbffr

Every day, tens of millions of people come to Roblox to explore, create, play, learn, and connect with friends in 3D immersive digital experiences-all created by our global community of developers and creators. At Roblox, we're building the tools and platform that empower our community to bring any experience that they can imagine to life. Our vision is to reimagine the way people come together, from anywhere in the world, and on any device. We're on a mission to connect a billion people with optimism and civility, and looking for amazing talent to help us get there. A career at Roblox means you'll be working to shape the future of human interaction, solving unique technical challenges at scale, and helping to create safer, more civil shared experiences for everyone. The People Science team at Roblox supports our Talent Acquisition organization and broader People, Places, & Systems group with applied statistics and data science. Our core mission is leveraging qualitative and quantitative data to drive decisions and optimize processes across the talent lifecycle. This is a hands‑on, stakeholder‑centric role focused on maximizing the operational efficiency of Recruiting. You will join a high‑impact group dedicated to translating complex data into clear, actionable tools and insights. Success means empowering our leadership to scale hiring efforts through data solutions that are not only accurate but also actionable and adopted. Role is based in our San Mateo, CA HQ and reports to Manager, People Data Science. You Will Deliver self‑service analytical products and reporting dashboards to recruiters and business leaders to enable data‑driven operational decisions. Leverage and contribute to the core data models owned by People Analytics, ensuring the underlying data logic is understood, accurately represented, and efficiently utilized in all downstream products. Partner with stakeholders to define key recruiting metrics and develop KPI dashboards that drive operational excellence across time‑to‑hire, sourcing effectiveness, and recruiter performance. Serve as a trusted advisor to Talent Acquisition leadership by translating complex cross‑functional data into clear, compelling narratives and actionable strategic recommendations. Conduct in‑depth analytical deep dives and scientific inquiry focused on optimizing operational processes, such as resource planning, funnel efficiency, and forecasting hiring needs. Drive the adoption of new visualization and analytics tools (e.g., Hex) by training and enabling recruiters and leaders to effectively leverage the data products you build. Support data governance and improve data processes in partnership with People Analytics and Recruiting Operations to ensure the reliability and quality of our core recruiting datasets. You Have 5+ years of professional experience in a Data Analyst, People Analytics, or Business Intelligence role, with a strong focus on data visualization and reporting. A Master's degree in a quantitative field such as Statistics, Economics, Business Analytics, or a related discipline, OR equivalent demonstrated experience. Expert‑level proficiency in SQL for querying, wrangling, and optimizing large datasets, including Common Table Expressions (CTEs) and window functions. Strong proficiency in data analysis and scripting using Python or R (expertise in at least one is required) for data wrangling, modeling, and reporting. Proven ability to design high‑impact, user‑friendly data visualizations using Business Intelligence software such as Tableau, Looker, or similar. Exceptional communication and stakeholder management skills, with a track record of simplifying complex data for senior, decision‑making audiences. Prior experience in Talent Acquisition or People Analytics is highly preferred. You Are Committed to clarity. You provide clarity through all your work products: your code, your documentation, your project plans, your visualizations, your presentations, and your strategic recommendations. Systematic and efficient. You don't like to solve the same problem twice, and you are always on the lookout for reusable solutions. You create well‑documented systems and procedures rather than approaching each new problem in isolation. Curious and skeptical. With a new dataset or business question, you are driven to explore relationships and constantly ask yourself why a particular result is occurring. Impact‑focused. You are keenly aware that the true value of data lies in its adoption, and you prioritize stakeholder enablement and tool usability to ensure your work drives measurable business outcomes. For roles that are based at our headquarters in San Mateo, CA: The starting base pay for this position is as shown below. The actual base pay is dependent upon a variety of job‑related factors such as professional background, training, work experience, location, business needs and market demand. Therefore, in some circumstances, the actual salary could fall outside of this expected range. This pay range is subject to change and may be modified in the future. All full‑time employees are also eligible for equity compensation and for benefits as described on this page. Annual Salary Range $194,770-$238,600 USD Roles that are based in an office are onsite Tuesday, Wednesday, and Thursday, with optional presence on Monday and Friday (unless otherwise noted). Roblox provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws. Roblox also provides reasonable accommodations to candidates with qualifying disabilities or religious beliefs during the recruiting process. #J-18808-Ljbffr

A leading financial technology firm is looking for an entrepreneurial Data Scientist to build data analysis frameworks. This role involves harvesting insights from complex data and requires 1+ years of experience with datasets. Responsibilities include ensuring data correctness and performing analyses on trading systems. The base salary ranges from $150,000 to $190,000, complemented by a comprehensive benefits package including medical coverage and paid time off. #J-18808-Ljbffr

Arkestro's Predictive Procurement accelerates enterprise spend transformation, using AI and game theory to unlock trapped savings and reduce risk, enabling teams to influence significantly more spend. By combining AI with deep Negotiation Science, Supplier Science, and Process Science procurement teams can improve win-rates while strengthening supply chain agility. As a fast-growing tech company, we're looking for builders and innovators - people who thrive in the face of ambiguity and who have a selfless dedication to do whatever it takes to make Arkestro and our customers successful. We believe in egoless execution and we are looking for people who will work together to solve hard problems. If you're excited to help shape our future, contribute to our company culture, and help to drive our business forward there is a tremendous opportunity for you here at Arkestro! See Arkestro in action at arkestro.com. About this Role We are looking for an experienced data scientist to join our growing Data Team and help drive the development of cutting-edge data, machine learning, and AI solutions that optimize procurement for our enterprise customers. The Staff Data Scientist will work closely with data engineers, senior stakeholders, and other data scientists to design and implement scalable data pipelines, data algorithms, and ML models. You will take ownership of major data science initiatives such as entity resolution, pricing algorithms, demand forecasting, recommendations, and automating workflow decisions. The role requires strong technical skills, business acumen, and the ability to effectively communicate with both technical and non-technical stakeholders across the organization. Responsibilities Leading Lead cross-team initiatives requiring data science expertise, driving alignment between Engineering, Product, Customer Success, and Data teams Participate actively in discussions with Product Management, shaping what we build and why based on data insights and technical feasibility Build and maintain trust with Customer Organization through clear communication of DS capabilities, limitations, and roadmap Present complex technical work to executive leadership and non-technical stakeholders in ways that drive strategic decisions Own the data science roadmap and its evolution in partnership with VP Data, DS Leads, and Product leadership Set clear expectations and clearly communicate project statuses to stakeholders throughout the company Foster a culture of continuous learning through mentorship of junior data scientists and sharing of best practices Building Design, prototype, and productionize machine learning models to optimize procurement processes Build and deploy AI systems into the procurement workflow, including robust eval frameworks Collaborate with Data Engineers on ML infrastructure, pipelines, and operations to support model training and deployment Define and evolve Data Science processes and practices Keep a startup mindset: ship early and collect feedback sooner than later Stay up-to-date (and keep the team up to date) on latest techniques and tools in ML & AI Necessary Qualifications 6+ years experience in data science or related quantitative field Strong expertise in machine learning, statistics, and data modeling Proficiency (6+ years experience) in Python and SQL Experience with AWS, Snowflake, dbt or similar cloud data stack Proven ability to communicate complex technical concepts to non-technical stakeholders and drive consensus across teams with competing priorities Track record of leading cross-functional initiatives with measurable organizational impact beyond a single team BS/MS in Computer Science, Statistics, Applied Math or related field Ideal Qualifications Demonstrated ability to mentor and elevate technical talent across teams, not just direct reports PhD in quantitative field Experience applying ML to procurement/supply chain data Knowledge of game theory and mechanism design Technologies and tools we use Data Motion: Snowflake, dbt, Pinecone, OneSchema ML and DS: Python, pandas, SQLAlchemy, Pydantic Workflow and Deployment: Github, AWS, Datadog, Code Climate Documentation and coordination: Jira, Confluence, Slack, Fellow, Lattice, Google Workspace Pay Range $190,000 - $220,000 USD Benefits Competitive salary and startup equity Medical, Dental, Vision insurance premiums covered up to 100% (employee only) 401K discretionary matching Unlimited PTO A remote-first team with regular opportunities to get together in person for team building, design sprints, and customer visits Annual budget of $1,000 for learning and professional development Diverse, inclusive, highly collaborative, and vibrant culture Equal Opportunity Employer Arkestro is an equal opportunity employer that is committed to diversity and inclusion in the workplace. We prohibit discrimination and harassment of any kind based on race, color, sex, religion, sexual orientation, national origin, disability, genetic information, pregnancy, or any other protected characteristic as outlined by federal, state, or local laws. Disclaimer Please note this job description may not be inclusive of all assigned duties, responsibilities, or aspects of the job described and that additional tasks may be assigned to the employee from time to time; or the scope of the job may change as necessitated by business demands. Arkestro reserves the right to change duties, responsibilities and activities at any time with or without notice. #J-18808-Ljbffr

A leading healthcare startup in the United States is seeking a product-minded data scientist to contribute to operational improvements in maternal and women's health. This role requires a strong background in data analysis, SQL proficiency, and the ability to communicate insights effectively. The ideal candidate will have at least 4 years of experience in data science and a passion for improving patient care through data-driven decisions. The compensation range for this position is $180,000 to $210,000, reflecting market competitiveness and equity options. #J-18808-Ljbffr

Employment Type Full time Department Engineering, product, & design Graphite builds consumer-quality tools for modern software engineering teams, so they can ship faster and create amazing products. Our product Graphite is modern code review for fast-moving teams - we help engineers write and review smaller pull requests, stay unblocked, and ship faster. Anyone can start using Graphite individually without needing their coworkers to change tools - we seamlessly sync code changes and reviews. We started Graphite because we missed internal code review tools like Phabricator (at Facebook) and Critique (Google) that help engineers create, approve, and ship small, incremental changes, and long-term we're passionate about creating products & workflows that help fast-moving eng teams achieve more. Our company We're a small-but-mighty team of 70+ based in Manhattan's Soho, now expanding with a new office in San Francisco. Our passionate and rapidly growing user base includes top engineering teams at companies like Datadog, Vercel, Ramp, and Snowflake. We've raised a $52mil Series B (featured in TechCrunch) led by Christine Esserman, following a previous $20mil Series A from Peter Levine at Andreessen Horowitz (who led GitHub's Series A). Other investors include folks like Tom Preston-Werner (founder of GitHub), Sam Lambert (Planetscale CEO & ex-GitHub CTO), Sebastian Markbåge (creator of React), and many more. Our culture centers on putting people first, applying science and craft, practicing disciplined ambition, and giving ownership - both literally (with equity) and in the responsibility and scope you'll have as a part of our early team. Outside of work you'll find us brewing espresso drinks, producing music, or practicing yoga. We can't wait to see what you'll add to the mix! About the Role Graphite is growing rapidly, and we're looking for a data scientist to support product direction and growth. What you'll do Analyze our data (10TB) and help us answer data-driven questions; Design, develop and deploy data models, algorithms, and tools to support data analysis and visualization; Build and maintain a scalable data pipeline that collects, processes and stores data from various sources, ensuring data accuracy, reliability, and availability. Currently we're based on DBT + Segment + Redshift; Collaborate with software engineers, data scientists, and product managers to ensure data-driven decision making across the organization; Perform exploratory data analysis and statistical modeling to identify insights and trends that drive product and business decisions; Develop and implement data quality and data governance standards to ensure data accuracy and consistency; Work with stakeholders to understand their data needs and translate them into technical requirements; Stay up-to-date with the latest technologies, trends, and best practices in data engineering, data science, and analytics, and recommend new solutions and approaches that can benefit the company. What we're looking for Bachelor's or Master's degree in Computer Science, Data Science, or related field; At least 4 years of experience in data engineering, with a focus on building scalable data pipelines and data models; Strong programming skills in SQL; Experience with cloud platforms such as AWS, GCP, or Azure, and their respective data services (e.g., S3, Redshift, BigQuery); Experience with data visualization tools such as Tableau, Looker, or Power BI; Strong problem-solving and analytical skills, with experience in statistical modeling; Excellent communication skills and ability to work collaboratively with cross-functional teams; and Self-starter with the ability to work independently in a fast-paced startup environment. Life at Graphite Competitive comp: ($160-200k base + substantial equity). We're backed by some of the best investors and excited to offer competitive compensation packages. Role trajectory. We're excited to build a team whose responsibilities and comp to grow as we do. Benefits. Top-tier health, dental, and vision coverage and 16 weeks paid parental leave. Time to decompress. We ask that our team take 4 weeks of vacation a year to unplug and unwind. Relocation expenses. We're an in-person, NYC/SF-based team, and we're happy to help with your relocation expenses! The team that eats together. Company-paid lunch, snacks, and coffee during workdays. Commuter perks. Ride around NYC on us! As a team, we're very aware of the systemic structural issues that have created inequalities for many communities, especially in the tech industry. We recognize that women and underrepresented minorities are statistically less likely to apply for a role that they feel unqualified for. If you are interested in this role but you're concerned about not meeting all requirements, we encourage you to apply anyway - we'd love to get to know you and see if there's a place for you here at Graphite! #J-18808-Ljbffr

A technology company based in San Francisco is seeking a Data Scientist to enhance customer experience and retention. The ideal candidate will work with cross-functional teams, employing data analysis to influence decision-making and improve customer satisfaction. Applicants should hold a Master's degree and have strong skills in SQL and Python, along with experience in business intelligence tools. This position offers a competitive salary range from $108,000 to $189,000 annually. #J-18808-Ljbffr

Promise modernizes how government agencies and utilities support people in financial difficulty. We build technology that makes it simple for residents to receive benefits, engage with assistance programs, set up flexible payment plans, and stay on track-while helping agencies increase efficiency, recover revenue, and deliver services with dignity. Our mission is to transform public systems so they work better for everyone, especially the most vulnerable. Our team includes experts from companies like Palantir, Google, Stripe , and esteemed government leaders. We work hard and believe deeply in what we do. We're looking for excellent people to build innovative, resilient technology. Backed by over $50 million in funding from top investors - such as Reid Hoffman, Howard Schultz, Michael Seibel, Y Combinator, 8VC, The General Partnership, First Round Capital, Kapor Capital, XYZ Ventures, and Bronze Investments - Promise has been recognized as one of Fast Company's "World's Most Innovative Companies of 2022," “Forbes Next Billion-Dollar Startups 2024,” and Y Combinator's #1 GovTech startup. About the Role At Promise, we're harnessing AI to make government services more accessible, efficient, and human-centered. As a Data Scientist (AI), you'll experiment with and apply cutting‑edge AI-from traditional ML models to the latest LLMs-to power applications that help families access essential services with dignity. You'll work across domains like OCR, document understanding, and classification, while also building generalist models that improve efficiency and reduce manual operations. This role blends research and application: sourcing from leading vendors and open‑source projects, fine‑tuning where needed, and deploying models into production systems that directly impact millions of lives. What You'll Do Experiment & build: Train, fine‑tune, and evaluate ML models and LLMs for real‑world government use cases. Apply AI in the field: Tackle challenges like OCR, document parsing, and classification to streamline services. Bridge research and impact: Source, adapt, and operationalize models from both open‑source and vendor ecosystems. Improve efficiency: Enhance automation, reduce manual processes, and boost system performance across the platform. Shape the future: Push forward scalable, ethical AI solutions that redefine how people access public support. What Will Help You Succeed Experience: 5+ years in machine learning and statistical analysis; 1+ year working directly with deep learning or LLMs. Technical expertise: Hands‑on experience with model training, fine‑tuning, and validation for classification/regression tasks (ROC AUC, Precision, Recall, F1). Tools of the trade: Proficiency with frameworks like PyTorch, MLFlow, LightGBM, or similar. Mindset: Detail‑oriented, rigorous, and adaptable-comfortable navigating a high‑impact, evolving environment. Mission alignment: Passion for Promise's work and a commitment to building ethical, transparent AI solutions. Bonus: Experience in applied AI for fintech, govtech, or other regulated industries. Who Thrives at Promise You'll love it here if: You are energized by big, complex challenges and the opportunity to solve them. You want your work to have a real, measurable impact on people's lives. You take ownership and run toward problems, not away from them. You value clear, candid, and constructive communication. Promise is not for you if: You prefer hierarchy and rigid structures. We operate with freedom and responsibility. You are uncomfortable with change. We move fast, adapt often, and expect agility. You want a typical corporate culture. We are mission‑driven, ambitious, and direct. You believe efficiency means “doing less.” We believe efficiency means doing better. How We Support Our People 100% paid health coverage Generous PTO and sick leave Lunch, snacks, and coffee provided Company retreats Opportunities to travel and see the impact of your work Hybrid work: we deeply value in‑person collaboration and are in‑office at least 3 days a week, but are flexible on working from home Promise is an equal opportunity employer and does not discriminate against any applicant or employee because of race, color, religion, sex, sexual orientation, gender identity, national origin, disability, genetic information, age, or military or veteran status. Additionally, the Company complies with applicable state and local laws governing non‑discrimination in employment in every jurisdiction in which it operates. Promise is committed to promoting diversity and inclusion in the workplace. We also provide reasonable accommodations to qualified individuals with disabilities, pregnant individuals, and those with sincerely held religious beliefs, in accordance with applicable laws. Promise engages in US government contracts and restricts hiring to US persons, which includes US citizens and permanent residents (e.g., Green Card holders). Additionally, candidates must reside in the US. #J-18808-Ljbffr

Arcade is building the world's first AI physical product creation platform, where imagination becomes reality. Our platform lets anyone design, purchase, and sell custom, manufacturable products using natural language and generative AI. We believe everyone should have the power to create physical goods as easily as they post online, and we're building the infrastructure to make that real. We've raised $42M from a world-class group of investors, including Reid Hoffman, Forerunner Ventures (Kirsten Green), Canaan Partners (Laura Chau), Adverb Ventures (April Underwood), Factorial Funds (Sol Bier), Offline Ventures (Brit Morin), Sound Ventures (Ashton Kutcher), Inspired Capital (Alexa von Tobel), and Torch Capital (Jonathan Keidan). Our angel investors include Elad Gil, Ev Williams, Marissa Mayer, Sara Beykpour, Kayvon Beykpour, Anna Veronika Dorogush, Eugenia Kuyda, David Luan, Sharon Zhou, Kelly Wearstler, Karlie Kloss, Colin Kaepernick, Christy Turlington Burns, and Jeff Wilke. Arcade is headquartered in San Francisco's Presidio and led by serial entrepreneur Mariam Naficy (Minted, Eve), and a founding team with deep experience in generative AI, design systems, and supply chain. We're pioneering a new category at the intersection of AI, personal expression, and on-demand manufacturing, and we're building fast. Role Summary We are seeking an analytical, entrepreneurial Data Scientist to lead Arcade's analytics, experimentation, and data science capabilities. This is a highly cross‑functional role that combines business analytics, product experimentation, and data platform leadership. The ideal candidate is passionate about data‑driven decision‑making, hands‑on analysis, and building tools that help guide business and product strategy. You will work directly with Arcade's leadership team-including Product, Go‑To‑Market, and Operations-to translate strategic objectives into measurable insights, models, and dashboards. You will own the company's data stack, ensuring the reliability and scalability of our analytics infrastructure. This role is based at Arcade's headquarters in the Presidio, San Francisco (4-5 days per week on‑site). Responsibilities Manage all aspects of Arcade's analytics, testing, and business intelligence initiatives Partner with business leadership to design and maintain KPIs that govern company performance and resource allocation Lead the design, implementation, and interpretation of A/B tests to inform product and marketing decisions Develop and automate dashboards and reporting systems; train business users to self‑serve insights Build scalable analysis frameworks to support Arcade's AI‑driven product design and commerce platform Collaborate with Product Management, Go‑To‑Market and Operations teams to develop tools and models that guide business operations Conduct ad‑hoc strategic and financial analyses to support the CEO and Chief of Staff in company‑wide planning and decision‑making Ensure best practices in data quality, experimentation methodology, and statistical rigor Experience 2-3 years of experience in a data science, analytics, or business intelligence role Proficiency in SQL and Python; strong experience using Jupyter notebooks for analysis and presentation Demonstrated experience designing and analyzing A/B tests and other causal inference methods Hands‑on familiarity with Hex, Tableau, or Looker-must have experience building user‑facing dashboards Experience with BigQuery and the Google Cloud data ecosystem preferred; experience with any major cloud analytics platform required Strong understanding of data modeling, ETL pipelines, and data warehouse architecture Experience building predictive or statistical models that directly inform product, marketing, or business outcomes Excellent communication skills, with the ability to synthesize complex quantitative findings into clear, actionable recommendations for non‑technical stakeholders Nice to Have Experience in e‑commerce, marketplaces, or AI‑driven product platforms Familiarity with dbt, Retool, or modern data stack tools Experience integrating analytics into workflow tools and operational decision‑making Strong business intuition and ability to connect analytical insights to strategic priorities Qualifications Bachelor's degree in Statistics, Computer Science, Mathematics, Economics, Engineering, or a related quantitative field Strong analytical and problem‑solving skills with high attention to detail Demonstrated ability to operate independently and thrive in a fast‑paced startup environment Proven ability to work cross‑functionally and influence through data and insight Arcade is an Equal Opportunity Employer committed to inclusion and diversity. We welcome people of different backgrounds, experiences, abilities, and perspectives and will consider all qualified applicants for employment in accordance with all state, local, and federal laws. #J-18808-Ljbffr

A financial technology company in San Francisco is looking for a Data Scientist to enhance their data infrastructure and extract insights. The ideal candidate has over 4 years of experience, proficiency in Python and SQL, and a solid understanding of smart contract data. This role involves designing key metrics, building data pipelines, and conducting analyses to improve the lending system. Offers competitive compensation and growth opportunities. #J-18808-Ljbffr

A groundbreaking tech company is looking for a Staff Data Scientist to join their team in Redwood City. The ideal candidate will have over 7 years of experience in consumer-facing products, focusing on monetization systems including subscriptions and advertising. You will partner with product and engineering teams to drive data-informed decisions and enhance user experiences, while shaping the data science foundations necessary for growth. Join us in redefining interactive entertainment and AI-driven experiences. #J-18808-Ljbffr

A leading AI research and deployment company in San Francisco is seeking a Data Scientist to lead econometric and experimental analysis related to risk in complex human-AI systems. The role involves designing experiments and observational studies that will directly inform strategic risk management across the organization. The ideal candidate has 3-6+ years of experience in economics or research, strong analytical skills, and proficiency in Python and SQL. This hybrid position offers relocation support. #J-18808-Ljbffr

A leading HR and payroll services company is looking for a Principal Data Scientist in San Francisco. The ideal candidate will have over 10 years of experience in Data Science at a product-focused software company, excel in statistical methods and programming, and have a passion for mentoring. This role involves shaping analytical strategies and driving organizational impact while working collaboratively across teams. #J-18808-Ljbffr

A healthcare technology company in San Francisco is seeking a Principal Data Scientist to develop predictive models aimed at optimizing patient outcomes and operational efficiency. This role requires over 7 years of experience in data analysis, with hands-on expertise in Python and machine learning. The ideal candidate will work with emerging AI technologies to improve healthcare delivery. Competitive compensation is offered, along with substantial health benefits and a positive work culture. #J-18808-Ljbffr

At Scoutbee, we've built the world's most sophisticated AI-powered supplier intelligence platform through rigorous innovation and engineering excellence. Now, as we join forces with Coupa, we're maintaining our distinctive team culture while scaling our technical impact globally. By integrating our cutting-edge AI search algorithms and rich supplier data with Coupa's $8T+ dataset, we're solving complex discovery problems at an unprecedented scale. As a high-velocity team within Coupa, we maintain our technical autonomy and rapid development cycles, all while gaining the resources to push the boundaries of what's possible. If you're passionate about applied AI, machine learning, and building systems that transform how businesses connect worldwide, there's never been a more exciting time to join us. We're hiring a Data Scientist (US) to drive activity and engagement across our buyer-supplier marketplace. In this role, you'll ensure buyers are actively using the platform to find suppliers and publish sourcing events, while keeping suppliers engaged and aligned with demand. The result: real value for suppliers, better outcomes for buyers, and a marketplace that grows sustainably over the long term. This is a highly strategic and cross-functional role. You'll work across product, growth, supplier experience, and customer success - connecting the dots to unlock marketplace potential. You'll engage with senior leaders, shape segment-specific strategies, and lead programs from concept to execution. Your role in our beehive: Data Mastery: Develop deep expertise in procurement and supplier datasets - including schemas, enrichment pipelines, quality nuances, and workflow linkages. Applied Research: Partner with product and engineering teams to design and prototype AI-powered supplier features (e.g., advanced search, risk scoring, trust signals, dynamic profile enrichment). Exploratory Analysis: Uncover supplier patterns in pricing, risk, payment flows, and supply chain resilience to inform product and innovation opportunities. Prototyping: Rapidly build models, dashboards, and workflows that validate hypotheses and accelerate feature adoption. Research Agenda: Shape thought leadership by identifying opportunities for selective external research on supplier markets, global procurement trends, and supply chain dynamics. Standards: Establish best practices in reproducible research, feature engineering, and responsible AI development. What you bring to our beehive: 4-7 years of experience in data science, applied research, or advanced analytics (procurement, supply chain, fintech, or marketplace experience is a plus). Strong technical skills in Python (pandas, scikit-learn, PySpark) or R, with SQL fluency and experience querying large-scale datasets. Familiarity with modern ML workflows, from feature engineering through evaluation. Experience working with transactional, supplier, or financial data. Product-oriented mindset: able to translate raw data into actionable product insights. Entrepreneurial and curious: thrives in ambiguity, balances rigor with speed, and eager to explore uncharted data. Passionate about AI: Deeply engaged in the fast-moving AI ecosystem, staying current with the latest techniques and frameworks, and often experimenting with side projects, open-source contributions, or independent research. What's in it for you? Opportunity to help shape the world's biggest procurement network Work cross-functionally with top talent across GTM, product, and platform teams Competitive compensation and wellness budgets Remote-flexible, mission-driven culture committed to better global procurement Worried that you don't quite tick all the boxes? Don't sweat it. For us, personality and willingness to grow and learn are more important than qualifications. We're aware that underestimation of one's own abilities or imposter syndrome can be reasons why someone doesn't apply. We say that not knowing it all can actually be a good thing and that we're more than happy to support - and learn from - our new employees while they find their feet at Scoutbee. We'd love to hear from you! At Scoutbee, we're on a mission to connect. Our employees focus on shared experiences so they can have a more accurate view of the world. This enables us to innovate, challenge our own ideas and assumptions, and be ourselves at work. For us, personality and cultural fit are more important than qualifications. If you're worried that you don't quite tick all the boxes, don't be. We say that not knowing it all can actually be a good thing and we're more than happy to support - and learn from - our new colleagues while they find their feet at Scoutbee. Scoutbee is an equal opportunities employer All qualified applicants will receive consideration for employment without regard to ethnic background, color, religion, gender, sexual orientation, national origin, age, disability status, protected veteran status, or any other characteristic protected by law. #J-18808-Ljbffr