Data engineer jobs in Alameda, CA - 24,869 jobs

About Decagon Decagon is the leading conversational AI platform empowering every brand to deliver concierge customer experience. Our AI agents provide intelligent, human‑like responses across chat, email, and voice, resolving millions of customer inquiries across every language and at any time. Since coming out of stealth, Decagon has experienced rapid growth. We partner with industry leaders like Hertz, Eventbrite, Duolingo, Oura, Bilt, Curology, and Samsara to redefine customer experience at scale. We've raised over $200M from Bain Capital Ventures, Accel, a16z, BOND Capital, A*, Elad Gil, and notable angels such as the founders of Box, Airtable, Rippling, Okta, Lattice, and Klaviyo. We're an in‑office company, driven by a shared commitment to excellence and velocity. Our values-customers are everything, relentless momentum, winner's mindset, and stronger together-shape how we work and grow as a team. About the Role As a Data Scientist at Decagon, you'll bring deep technical rigor to how data is analyzed, tested, and applied across the business. You'll design and interpret experiments, apply advanced statistical methods, and build scalable analytical frameworks that directly inform product strategy and company performance. You'll work across Engineering and Product to establish robust measurement practices, expand the use of data‑driven decision making, and uncover insights that shape Decagon's trajectory. This role blends strong analytical expertise with product acumen and the ability to influence at the highest levels. In this role, you will Conduct deep‑dive analyses using advanced statistical methods on user behavior, product performance, and business outcomes to surface actionable insights. Enhance and extend Decagon's data models, metrics, and dashboards to ensure consistent, scalable reporting across teams. Design, implement, and analyze controlled A/B test experiments to measure product changes and customer experience. Collaborate with Product and Engineering to embed experimentation and measurement best practices into product development cycles. Build and continuously improve Decagon's data stack, ensuring scalable models, pipelines, and tools that empower self‑serve analytics across the company. Communicate findings clearly and persuasively to executives and cross‑functional stakeholders, influencing strategic decision‑making. Evaluate and interpret the performance of ML models (e.g., classification, recommendation, LLM‑based systems), helping the team reason through trade‑offs, limitations, and business implications of model‑driven decisions. Be the primary driver of experimentation culture at Decagon, helping define how we design, measure, and scale experiments across the business. What We're Looking For Strong ability to structure ambiguous problems, translate them into analytical approaches, and deliver business impact through data. Advanced proficiency in SQL and Python, with a solid foundation in statistics and experimental design. 5+ years (or equivalent experience) in data science or product analytics roles, ideally within high‑scale consumer or marketplace products. Ability to reason about and analyze machine learning models, understanding their assumptions, trade‑offs, and impact on product and customer outcomes. A proven track record of designing, running, and analyzing experiments at scale. Excellent communication skills, with experience influencing stakeholders and driving decisions across teams. Benefits Medical, dental, and vision benefits Take what you need vacation policy Daily lunches, dinners and snacks in the office to keep you at your best Compensation $250k - $300k + equity #J-18808-Ljbffr

Perplexity is an AI-powered answer engine founded in December 2022 and growing rapidly as one of the world's leading AI platforms. Perplexity has raised over $1B in venture investment from some of the world's most visionary and successful leaders, including Elad Gil, Daniel Gross, Jeff Bezos, Accel, IVP, NEA, NVIDIA, Samsung, and many more. Our objective is to build accurate, trustworthy AI that powers decision-making for people and assistive AI wherever decisions are being made. Throughout human history, change and innovation have always been driven by curious people. Today, curious people use Perplexity to answer more than 780 million queries every month-a number that's growing rapidly for one simple reason: everyone can be curious. We are hiring for an experienced Data Scientist to accelerate our growth initiatives and help Perplexity expand its reach globally. You'll work closely with our Growth, Marketing, Product, Enterprise, and Partnership functions, using data-driven insights to optimize strategies across paid acquisition, organic growth, product development, retention, monetization, and strategic partnerships. This role offers the chance to significantly influence how our growth strategies evolve and scale in a dynamic startup environment. Responsibilities Collaborate closely with Growth, Marketing, Product, Enterprise, and Partnership teams to provide data-driven insights and recommendations across all growth initiatives. Perform deep-dive analyses on user behavior, conversion funnels, and retention patterns to drive both paid and organic growth. Lead user research and segmentation analysis to inform growth strategies, market targeting, product development, and paid campaign optimization. Design, implement, and interpret A/B tests to continuously enhance marketing performance, product features, and overall user experiences. Define, implement, and visualize key growth metrics across paid acquisition, organic channels, activation, retention, and monetization, creating dashboards to track business performance and marketing ROI. Develop data models and pipelines to improve analytics efficiency, enable self-service analytics, and support strategic decision-making. Support revenue growth initiatives through pricing analysis, subscription optimization, and enterprise growth strategies. Analyze paid acquisition channels and campaigns performance, identifying opportunities for optimization, budget allocation, and sustainable growth. Conduct analysis on social media performance, SEO initiatives, and marketing spend to maximize reach, engagement, and cost-effectiveness. Qualifications Have 6-8+ years of experience working as a data scientist or related role with growth focus. Have experience with growth disciplines including: paid acquisition, product marketing, SEO, social media, lifecycle marketing, product analytics, and/or conversion optimization. Are proficient in SQL and experienced with BI and visualization tools (e.g., Omni, Mode, Hex, Looker). Have experience designing, implementing, and analyzing A/B tests and statistical experimentation. Take ownership and are a self-starter who thrives with open-ended problems and cross-functional collaboration. Have experience with data modeling and pipeline development (e.g., dbt, Airflow). Preferred Qualifications Previous experience at a high-growth startup or early-stage company in a growth-focused data science role. Hands-on experience with dbt and data engineering/analytics engineering. Experience with Snowflake and modern data stack tools. Are comfortable with Python for data analysis and automation. Machine learning experience, particularly in growth applications (LTV prediction, churn modeling, attribution modeling, recommendation systems). Experience with marketing attribution, cohort analysis, funnel optimization, and growth accounting frameworks. The cash compensation range for this role is $200,000 - $250,000 Final offer amounts are determined by multiple factors, including, experience and expertise, and may vary from the amounts listed above. Equity: In addition to the base salary, equity may be part of the total compensation package. Benefits: Comprehensive health, dental, and vision insurance for you and your dependents. Includes a 401(k) plan. #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

At Windfall, data science is central to our mission as a people data and AI company. We aim to revolutionize how organizations perceive and utilize people data by providing leading commercial and nonprofit partners with accurate and actionable predictive models. We are looking for a deeply technical Staff Data Scientist to join our Modeling & AI team. In this role, you will be the go‑to expert for our most complex modeling challenges. You will be a hands‑on‑keyboard architect, designing and building sophisticated, scalable machine learning systems that power our model offerings. You'll spend your time tackling ambiguous problems, pioneering novel modeling techniques, and writing production‑grade code that elevates the technical bar for the entire team. Your work will be directly applied, as you collaborate closely with customers to develop a range of models-from sophisticated marketing and lead scoring models to donation likelihood models that empower top nonprofit organizations worldwide. This position is ideal for an individual who is passionate about deep technical exploration, solving challenging technical problems, and constructing robust, end‑to‑end ML solutions that deliver immense value to our clients. Responsibilities Architect and Own Modeling Solutions: You will lead the design and own the end‑to‑end lifecycle of our most sophisticated machine learning models, from ideation and strategic planning through to deployment and long‑term performance monitoring. Synthesize Diverse Datasets: You will become an expert at blending first‑party customer data with Windfall's proprietary data assets to engineer novel features and build highly predictive models. Build for Scale: You will go beyond individual models to design and build scalable, reusable data pipelines and modeling frameworks that improve the efficiency and capabilities of the entire team. Innovate and strategize: Address complex, ambiguous problems and craft creative modeling solutions to meet diverse customer needs across various industries. Communicate with Impact: You will be responsible for clearly communicating model performance, methodology, and business impact to both technical and non‑technical stakeholders. Requirements 7+ years of professional industry experience in data science, with a proven track record of leading complex machine learning projects from conception to completion. Deep, expert‑level knowledge of machine learning theory and its practical application, including extensive experience with classification, regression, and feature engineering. Mastery of Python and its data science ecosystem. Expert‑level SQL skills, with the ability to write optimised queries against large‑scale datasets. A strategic, product‑driven mindset with a history of influencing product roadmaps and tying data science initiatives directly to business outcomes. Hands‑on experience with the engineering aspects of data science, including proficiency with Docker for containerisation and experience building and deploying data pipelines. Eligible to work within the United States. Preferred Qualifications Experience designing and implementing MLOps best practices for model monitoring, versioning, and automated retraining. Familiarity with modern cloud data platforms (e.g., BigQuery) and pipeline orchestration tools (e.g., Airflow). Experience working in marketing analytics, ad‑tech, fintech, or for a nonprofit organisation. A Master's degree or Ph.D. in a quantitative field such as Statistics, Computer Science, Economics, or Mathematics. $200,000 - $230,000 a year The range displayed on each job posting reflects the minimum and maximum target for new hire salaries for the position across California. Within the range, individual pay is determined by work location and additional factors, including job‑related skills, experience, and relevant education or training. We also offer a comprehensive benefits package, which you can explore on our careers site. California: Salary range is $200,000 - $230,000 + Equity About Windfall Windfall is a people intelligence and AI company that gives go‑to‑market teams actionable insights. By democratising access to people data, organisations can intelligently prioritise go‑to‑market resources to drive greater business outcomes. Powered by best‑in‑class machine learning and artificial intelligence, Windfall activates insights into workflows that engage the right people for each respective organisation. More than 1,500 data‑driven organisations use Windfall to power their business. For more information, please visit ***************** We comply with CCPA. For more information on how we comply, review our privacy notice. #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

The Principal Data Scientist will support Tendo analytics projects focused on quality management and risk adjustment. The person in this role will access data from multiple sources (public and private) and translate it into information that is meaningful and actionable for health systems. The Principal Data Scientist develops, maintains, and enhances predictive models that improve products in several areas including, but not limited to quality, risk, and operational efficiency. We're looking for someone who brings an AI-native mindset, has hands-on experience applying AI or machine learning to real-world problems, and is passionate about exploring how emerging AI capabilities can improve healthcare delivery and outcomes. In addition, the Principal Data Scientist will also have the opportunity to ask novel, data-driven questions and drive new analyses. About Tendo Make an impact-join our team! We're a fast-growing, mission-driven company building a culture that enables teams and individuals to thrive. Our team-driven culture and rapid growth have earned us recognition as one of Forbes' Top Startup Employers for both 2024 and 2025. Led by an experienced and proven team, we live by our values and are always on the hunt for motivated people with diverse experiences and backgrounds to help us improve the care journey for patients, clinicians, and caregivers by creating software that provides seamless, intuitive, and user-friendly experiences. If you like working with innovative technologies and want to be part of a growing team that will help transform the healthcare experience, we encourage you to apply today! Job Location Tendo has hubs in San Francisco, CA; San Diego, CA; Salt Lake City, UT; Chicago, IL; Nashville, TN; and Philadelphia, PA. Candidates may be located in any one of our hub locations. Responsibilities Analyze data from multiple databases to drive optimization and improvement of quality outcomes, resource utilization, and risk adjustment. Develop custom data models and algorithms to apply to data sets. Use predictive modeling to increase and optimize patient outcomes, patient experiences, risk adjustment opportunities, and other business outcomes. Explore and experiment with emerging AI technologies to evaluate their applicability in solving healthcare problems and improving operational workflows. Develop analytic data sets and use statistical software to analyze data sets as requested. Use third party software tools in the development of queries and visualizations. Coordinate with different functional teams to implement models and monitor outcomes. Requirements Bachelor's degree in data science, statistics, epidemiology, engineering, information science, computer science, OR equivalent technical experience. Hands-on experience writing Python code including, but not limited to, machine learning, data science and engineering, and ETL pipelines. 7+ years of experience in data analysis software, with data science experience preferred. 7+ years of experience with GitHub/Git, Python, SQL, statistics, and ML modeling. Track record of applying AI or ML models to solve practical, real-world problems-ideally in healthcare or similar complex domains. Knowledge of statistical concepts and data mining methods such as: Hypothesis testing (or A/B testing), distribution analysis, Bayesian estimation, Linear and Logistic Regression, GLMs, text mining, time series analysis, etc. Knowledge of a variety of traditional machine learning techniques such as: feature engineering methods for large scale numerical and categorical data, dimensionality reduction, clustering, Decision Trees/Random Forests/Gradient Boosted Decision Trees, Deep Learning. Knowledge of machine learning implementation strategies such as: proper and thorough evaluation of ML models in production, detecting data/covariate/concept drift, leveraging feature stores and model registries, deploying models as REST APIs, integrating models into products, etc. Interest in staying current on AI advancements (e.g., generative AI, LLMs, foundation models), and enthusiasm for integrating new capabilities into analytical workflows. Demonstrated proficiency in writing SQL queries on large, complex datasets for data analysis and analytics engineering. Strong problem-solving skills with an emphasis on data analytics. Excellent written and verbal communication skills for coordinating across teams. Nice to Have Experience in the healthcare setting preferred. Experience with Epic EMR data preferred, but not required. Experience with healthcare financials/claims preferred, but not required. Base Salary Range $157,250-$212,750 This salary range is offered with the understanding that final compensation is based on a number of factors including geography and experience. Tendo also offers an equity package, annual bonuses, and benefits. Benefits For full time employees, Tendo also offers full health benefits (medical, dental, and vision), flexible spending and health savings accounts, company paid life insurance, company paid short-term and long-term disability, company equity, voluntary benefits, 401(k), company paid holidays, flexible time off, and an employee wellness program (“Breathe”). Tendo is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, sex, sexual orientation, gender identity or expression, religion, national origin or ancestry, age, disability, marital status, pregnancy, protected veteran status, protected genetic information, political affiliation, or any other characteristics protected by local laws, regulations, or ordinances. #J-18808-Ljbffr

A leading imaging research institute is looking for a highly skilled Data Scientist to develop innovative algorithms and software tools for image analysis utilizing advanced microscopy techniques. The ideal candidate will have a Ph.D. and expertise in image processing, as well as proficiency in Python and C++. This hybrid role requires in-person collaboration and offers a competitive salary range of $153,000 - $210,100. We value critical thinking and communication skills in our collaborative team environment. #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

A leading global technology company in San Francisco seeks a senior software engineer with expertise in anomaly detection and machine learning. You will lead projects to develop scalable cloud-based solutions, collaborating with teams and mentoring others in advanced AI techniques. A PhD or equivalent experience is essential, along with proven leadership in cloud architecture. The role offers a competitive salary and extensive benefits including paid time off and flexible working arrangements. #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

An innovative tech company in San Francisco is looking for a Data Scientist to lead their analytics and experimentation efforts. The role focuses on building insights and models to drive business strategy, requiring 2-3 years of relevant experience. Proficiency in SQL and Python, along with a strong analytical mindset, are crucial for success. This is an on-site role, with close collaboration among cross-functional teams to enhance data-driven decision-making. Join a dynamic environment where you can impact product and market strategies, fostering creativity and innovation. #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

Data Science - San Francisco and Seattle Our Applied team brings OpenAI technologies to consumers and businesses around the world. We collaborate across research, engineering, design and business functions to turn cutting-edge AI advancements into impactful real-world applications. Our team has been behind notable product launches (ChatGPT , API , Sora ), creating tools that help developers write code, enable businesses to operate more efficiently, and empower individuals to learn and create. As AI capabilities rapidly evolve, we focus on ensuring that our products are safe, accessible, and beneficial to all. About the Role As a Data Scientist on the Applied Product team, you will contribute to a data-driven product development culture for consumer and enterprise products at OpenAI. This is critical as our products reach millions of users and businesses worldwide. We are focused on aligning both research and product development to drive measurable impact for these individuals and organizations alike. You should expect to define our north-star metrics, design A/B tests, and establish source-of-truth dashboards that the entire company can use to answer their own product questions. Most importantly, you should expect to be a core member of the product development team. This role is based in San Francisco, CA or Seattle, WA. We use a hybrid work model of 3 days in the office per week and offer relocation assistance to new employees. In this role, you will: Embed with the product development team as a trusted partner, uncovering new ways to improve the product and drive growth Define and interpret A/B tests that help answer critical questions about the impact of model and UX changes to our product Establish a data-driven product development culture by defining, tracking, and operationalizing feature-, product-, and company-level metrics Develop and socialize dashboards, reports, and other ways of enabling the team and company to answer product data questions in a self-serve way You might thrive in this role if you have: 5+ years experience in a quantitative role navigating highly ambiguous environments, ideally as an early data scientist or product analyst at a hyper-growth product company or research org Proposed, designed, and run rigorous experiments with clear insights and product recommendations utilizing SQL and Python Defined, implemented, and operationalized new feature and product-level metrics from scratch Excellent communication skills with demonstrated ability to communicate with product managers, engineers, and executives alike Strategic insights beyond the paradigm of statistical significance testing You could be an especially great fit if you have: Strong programming background, with ability to run simulations and prototype variants Experience validating quantitative insights with qualitative methods (e.g. surveys, UXR) Demonstrated prior experience in NLP, large language models, or generative AI About OpenAI OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity. We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic. Qualified applicants with arrest or conviction records will be considered for employment in accordance with applicable law, including the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act. For 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. In addition, job duties require access to secure and protected information technology systems and related data security obligations. To notify OpenAI that you believe this job posting is non-compliant, please submit a report through this form . No response will be provided to inquiries unrelated to job posting compliance. We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made via this link . At OpenAI, we believe artificial intelligence has the potential to help people solve immense global challenges, and we want the upside of AI to be widely shared. Join us in shaping the future of technology. #J-18808-Ljbffr

About Us At Dyneti, we believe digital payments should be seamless and secure. That's why we built DyScan, a software library that allows digital merchants to prevent fraud and improve conversion by taking a photo of a credit card. Dyneti was founded by a fraud prevention expert from Uber, and has raised funding from an exceptional lineup of investors, including Y Combinator. We've processed hundreds of millions of credit card scans around the world, and our customers include Fortune 100 companies and some of the fastest growing tech unicorns. Job Overview Join Dyneti as a founding member of the technical team. You will have the opportunity to work closely with the CEO and engineering to track emerging fraud trends, translate insights into product improvements, and build and launch your ideas. This role sits at the intersection of data, engineering, and real-world fraud strategy and is critical to shaping how DyScan evolves to stay ahead of increasingly sophisticated attackers. We're Looking for Someone Who Enjoys significant ownership over user-facing product Can work independently Is comfortable turning research papers into product Has 2+ years experience with data science or has a PhD in a STEM field Has an interest in software engineering Builds with a product-first approach. You move quickly from analysis to action and care about measurable outcomes In the News ******************************************************* ************************************************************************ ******************************************************************************** Dyneti is an equal opportunity employer. All applicants will be considered for employment without attention to race, color, religion, sex, sexual orientation, gender identity, national origin, veteran or disability status. #J-18808-Ljbffr

A leading data analytics firm in Los Angeles is seeking a Data Scientist to enhance their AdEngage platform and measure ad effectiveness. The ideal candidate has over 3 years of experience in coding with Python, model tuning, and SQL proficiency. Offering a competitive salary and flexible time off, this role supports a hybrid working environment with a focus on innovation in advertising analytics. #J-18808-Ljbffr

ABOUT MITHRL We imagine a world where new medicines reach patients in months, not years, and where scientific breakthroughs happen at the speed of thought. Mithrl is building the world's first commercially available AI Co-Scientist. It is a discovery engine that transforms messy biological data into insights in minutes. Scientists ask questions in natural language, and Mithrl responds with real analysis, novel targets, hypotheses, and patent‑ready reports. OUR TRACTION 12X year-over-year revenue growth Trusted by leading biotechs and big pharma across three continents Driving real breakthroughs from target discovery to patient outcomes. ABOUT THE ROLE We are hiring a Data Scientist, Knowledge Graphs to build and scale the biological knowledge layer that powers the Mithrl AI Co-Scientist. This role focuses on ingesting and harmonizing the world's most important biological data sources and curating the relationships that allow our system to reason across pathways, targets, diseases, compounds, and multimodal datasets. You will ingest data from public consortia and well maintained peer reviewed sources and unify them into a coherent, versioned knowledge graph. You will identify new node types, define relationship schemas, harmonize variable IDs, and ensure metadata remains consistent across all integrated sources. You will also build automated curation pipelines that expand and refine the knowledge graph using both data driven methods and domain logic. Beyond ingestion and curation, you will create the tools and frameworks that allow users to interact with the knowledge graph and even build their own custom graphs based on the results they generate inside Mithrl. Your work will form the foundation for pathway reasoning, target scoring, evidence aggregation, and multimodal interpretation inside the AI Co-Scientist. WHAT YOU WILL DO Ingest, harmonize, and version high value public biological datasets such as CellxGene, Gemma, ARCHS4, ENCODE, GTEx, TCGA, etc. Ingest well maintained peer reviewed knowledgebases including OpenTargets, HPA, and similar resources Build automated pipelines to curate and expand relationships inside the knowledge graph Define and evolve schemas for node types, relationships, metadata rules, and ontology alignment Harmonize variable IDs and metadata fields across all imported sources to create a unified knowledge layer Build and maintain versioning, change tracking, and provenance systems for all data and relationships Develop the framework that allows users to build custom knowledge graphs from the analyses they run inside Mithrl Build features that allow users to explore, query, and interact with their graphs Work closely with ML engineers, bioinformatics teams, and discovery application teams to ensure the knowledge graph supports downstream reasoning and analysis Validate the correctness, completeness, and integrity of the knowledge graph across releases WHAT YOU BRING Required Qualifications Strong experience in data science, bioinformatics, computational biology, or a related field Experience working with biological knowledgebases, public datasets, or ontology driven systems Familiarity with graph data structures, relationship modeling, and knowledge graph concepts Experience harmonizing heterogeneous biological datasets and mapping variable IDs across sources Proficiency in Python and scientific computing libraries Ability to build ingestion pipelines for structured or semi structured biological data Strong understanding of metadata standards, biological ontologies, and domain logic Ability to translate complex biological information into structured, machine readable representations Excellent communication skills and comfort collaborating across engineering and scientific teams Nice to Have Experience with graph databases or graph query languages Experience with KG curation, link prediction, relationship extraction, or graph based ML Familiarity with multi modal data integration Previous work on biological or chemical knowledge graphs Experience with public consortia such as ENCODE, GTEx, TCGA, or ChEMBL, etc. Prior experience in a tech bio startup or scientific software environment WHAT YOU WILL LOVE AT MITHRL You will build the core knowledge layer that the AI Co-Scientist uses to reason about biology Team: Join a tight‑knit, talent-dense team of engineers, scientists, and builders Culture: We value consistency, clarity, and hard work. We solve hard problems through focused daily execution Speed: We ship fast (2x/week) and improve continuously based on real user feedback Location: Beautiful SF office with a high‑energy, in‑person culture Benefits: Comprehensive PPO health coverage through Anthem (medical, dental, and vision) + 401(k) with top‑tier plans We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. #J-18808-Ljbffr

At Flux, we rely on insightful data to power our systems and solutions. We're seeking an experienced data scientist to deliver insights on a daily basis. The ideal candidate will have mathematical and statistical expertise, along with natural curiosity and a creative mind. While mining, interpreting, and cleaning our data, this person will be relied on to ask questions, connect the dots, and uncover hidden opportunities for realizing the data's full potential. As part of a team of specialists, the data scientist will “slice and dice” data using various methods and create new visions for the future. LOCATION San Francisco or remote EMPLOYMENT TYPE Permanent What You'll Do Serve as lead data strategist to identify and integrate new datasets that can be leveraged through our product capabilities, and work closely with the engineering team in the development of data products Execute analytical experiments to help solve problems across various domains and industries Identify relevant data sources and sets to mine for client business needs, and collect large structured and unstructured datasets and variables Devise and utilize algorithms and models to mine big-data stores; perform data and error analysis to improve models; clean and validate data for uniformity and accuracy Analyze data for trends and patterns, and interpret data with clear objectives in mind Implement analytical models in production by collaborating with software developers and machine-learning engineers Objectives of Role Collaborate with product design and engineering teams to develop an understanding of needs Research and devise innovative statistical models for data analysis Communicate findings to all stakeholders Enable smarter business processes by using analytics for meaningful insights Keep current with technical and industry developments Interested in this role, feel free to apply and we'll get back to you if we see a fit. #J-18808-Ljbffr

Airbnb was born in 2007 when two hosts welcomed three guests to their San Francisco home, and has since grown to over 5 million hosts who have welcomed over 2 billion guest arrivals in almost every country across the globe. Every day, hosts offer unique stays and experiences that make it possible for guests to connect with communities in a more authentic way. The Community You Will Join: You will join a team dedicated to driving innovation and optimizing our dynamic Marketplace. As a member of the Marketplace Data Science team, you will tackle challenges at the core of our business, including pricing, supply management, and fee strategies. Collaborating with leaders across the company, you will play a key role in shaping the future of our marketplace. The Difference You Will Make: As a Staff Data Scientist, you will be responsible for building data products, inference frameworks, and intelligence to enable the growth of our marketplace. Your work will include: Specifying and estimating models to determine the impact of supply and demand on marketplace outcomes Delivering data and insights to enable the company's supply growth efforts Providing mentorship to other data scientists and exemplifying a high bar for technical excellence A Typical Day: Crafting models: You will develop models to accurately forecast key marketplace metrics, enabling proactive decision-making and strategic planning. Advanced causal inference: Utilizing cutting‑edge causal inference techniques, you will quantify the impact of changes in supply and demand on the marketplace, informing targeted improvements and interventions. Cross‑functional collaboration: You will actively collaborate with teams across product, engineering, and operations to integrate data science insights into initiatives aimed at enhancing supply acquisition, retention, and success. Stakeholder engagement: You will engage with stakeholders to understand their business objectives and provide data‑driven solutions tailored to these goals. Your Expertise: 9+ years of relevant industry experience and a Master's degree or PhD in a quantitative field Strong fluency in Python or R for hands‑on IC work and SQL for advanced data analysis at scale Experience with causal inference and machine learning techniques, ideally in a multi‑sided platform setting Proven ability to succeed in collaborative environments with cross‑functional stakeholders and also in independent work environments Proven ability to communicate clearly and effectively to audiences of varying technical levels Your Location: This position is US - Remote Eligible. The role may include occasional work at an Airbnb office or attendance at offsites, as agreed to with your manager. While the position is Remote Eligible, you must live in a state where Airbnb, Inc. has a registered entity. If your position is employed by another Airbnb entity, your recruiter will inform you what states you are eligible to work from. Please check the up‑to‑date list of excluded states - this list is continuously evolving. Our Commitment To Inclusion & Belonging: Airbnb is committed to working with the broadest talent pool possible. We believe diverse ideas foster innovation and engagement, and allow us to attract creatively‑led people, and to develop the best products, services and solutions. All qualified individuals are encouraged to apply. We strive to also provide a disability inclusive application and interview process. If you are a candidate with a disability and require reasonable accommodation in order to submit an application, please contact us at reasonableaccommodations@airbnb.com. Please include your full name, the role you're applying for and the accommodation necessary to assist you with the recruiting process. We ask that you only reach out to us if you are a candidate whose disability prevents you from being able to complete our online application. How We'll Take Care of You: Our job titles may span more than one career level. The actual base pay is dependent upon many factors, such as training, transferable skills, work experience, business needs and market demands. The base pay range is subject to change and may be modified in the future. This role may also be eligible for bonus, equity, benefits, and Employee Travel Credits. Pay Range USD 194,000 - 240,000 #J-18808-Ljbffr