Data engineer jobs in Santa Clara, CA - 12,692 jobs

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 company is seeking an experienced engineer to join their team focused on building intelligent ML systems for observability. The ideal candidate will have a PhD in Computer Science or a related field, along with significant experience in cloud-based architectures like AWS or Azure. Responsibilities include leading the development of machine learning algorithms and enhancing AI features across platforms. This position offers an attractive salary and extensive benefits, including flexible vacation policies and a comprehensive insurance package. #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

Data Scientist - San Jose, United States Data Scientist at Adobe - San Jose, United States 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 As a Data Scientist on the Monetization Growth organization, you will be a critical part of the team building delightful experiences driving customer success and tangible business growth. We are looking for candidates who are passionate about using statistical, analytical, and machine learning techniques to extract, analyze, and interpret large volumes of data, thereby transforming it into meaningful information to drive decision-making and optimize outcomes. The ideal candidate will have a combination of strong technical skills along with the ability to work with a diverse, distributed multi-functional team. Responsibilities What you'll do • Apply statistical methods and machine learning techniques to analyze large datasets and inform product decisions. • Collaborate with cross-functional teams to translate business requirements into analytical solutions and measurable outcomes. • Build and evaluate predictive models to drive customer success and revenue growth. • Communicate findings clearly to technical and non-technical stakeholders and document analyses for repeatable impact. Qualifications What you need to succeed Master's or PhD in Computer Science, Data Science, Statistics, or a related field of study, or relevant experience. Alternatively, a Bachelor's degree with relevant practical experience. Compensation 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 position is $109,000 - $192,400 annually. Pay within this range varies by work location and 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. Notices State-Specific Notices: California: Adobe will consider qualified applicants with arrest or conviction records for employment in accordance with state and local laws and “fair chance” ordinances. 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 Opportunity employer. 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, email accommodations@adobe.com or call **************. #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 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

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

🚀 About Us GridCARE solves data center developers' most urgent bottleneck - immediate access to power - through a pioneering physics-based generative AI platform that unlocks gigawatts of near-term capacity from today's grid. Partnering with utilities, GridCARE applies a proprietary playbook to create additional network capacity on existing transmission infrastructure without costly upgrades or multi-year delays. Founded at Stanford's Doerr School and backed by leading investors in Energy and AI, GridCARE is working with major technology and data center companies to accelerate interconnection requests for large-load and data center projects. As a fast-growing startup, we are seeking a skilled Data Scientist to help develop data-driven solutions that have real-world impact. ⚡ Job Description We are seeking a Data Scientist who thrives at the intersection of business and engineering - someone who can translate complex technical data into clear, compelling insights for both internal and external stakeholders. In this role, you'll collaborate closely with GridCARE's business and engineering teams to produce high-quality visualizations and analyses that support customer engagements and real-world project delivery. Your work will include creating interactive maps, dashboards, and analytical visuals that showcase project outcomes, grid capacity opportunities, and results from power system studies. This is a unique opportunity to combine deep data science and visualization expertise with cutting‑edge AI solutions applied to solve the most impactful speed to power in the energy industry. 💡 Responsibilities Collaborate with business teams to prepare and present data-driven visual content for customer projects and proposals. Work with engineering teams to translate technical results into interpretable visuals for client‑facing and internal applications. Design and develop data visualizations and analytical dashboards that communicate insights from power system models, simulations, and AI-generated outputs. Support data integration between analysis platforms, visualization tools, and customer-facing applications. Identify and curate new datasets from internal and external sources. Analyze time-series and non-relational data to uncover valuable insights. Integrate AI tools into our software systems. Tune and extend 3rd party AI agents. Stay engaged with the latest data science and science news, standards, and emerging AI-driven solutions in data management. 🧠 Qualifications Required Bachelor's or higher in Computer Science, Data Science, Electrical Engineering, or a related quantitative field. Strong coding skills in Python or equivalent, including experience with data manipulation libraries (e.g., Pandas, NumPy) and database interaction. Ability to write well-documented, tested, and maintainable code. Experience in applying machine-learning and AI applications to data analysis. Knowledge of time-series analysis techniques and non-relational database concepts. Able to leverage AI code development tools such as Cursor, Copilot, and Claude Code to accelerate development. Excellent problem-solving, communication, and collaboration skills in a fast-paced startup environment. Preferred 2+ years of experience in data engineering, data science, or related areas. Experience with Model Context Protocol (MCP) and other multi-agent architectures. Proficiency with cloud data platforms (e.g., AWS, GCP, Azure) and data warehousing solutions. Familiar with data modeling, ETL processes, and data governance. Familiar with RESTful APIs and Python web frameworks such as Flask and FastAPI. Experience in the energy industry, including grid planning and operations. Experience with time-series forecasting. Experience deploying data applications in the cloud. Familiarity with version control (git) and basic software engineering practices. 🌍 What We Offer Competitive salary and equity. Comprehensive benefits package. Hybrid work environment with catered lunches and snacks. The chance to work at the intersection of AI, automation, and data systems alongside experienced engineers and leading researchers. A mission-driven team focused on shaping the future of the energy transition. Join us in shaping the future of AI for the energy transition! How to Apply: Send your resume and a brief cover letter explaining why you are a good fit for this role to ****************** #J-18808-Ljbffr

About the Role: Character.AI is building the future of open-ended interactions between people and intelligent agents. As our platform scales, so does the opportunity to build sustainable, user-aligned monetization through subscriptions, advertising, and virtual currency economies. We are seeking a Staff Data Scientist to partner closely with product, engineering, and growth teams to scale and optimize Character.AI's monetization systems. This role focuses on enabling teams to design, launch, and iterate on data-informed, user-centric monetization experiences, while shaping how we measure, experiment with, and grow revenue without compromising the creativity and openness that define Character.AI. What you'll do: You will partner closely with product and engineering teams to drive data-informed monetization across subscriptions, advertising, and virtual currency economies. This role defines success metrics, leads experimentation, and translates complex behavioral and economic data into actionable insights, while building the data science foundations needed to support rapid product iteration and long-term growth. Qualifications: 7+ years of experience as a Data Scientist working on consumer-facing products, ideally in chat, social, UGC, or entertainment platforms Strong intuition for identifying the right questions and quickly driving to high-impact insights Proven ability to turn analysis into product decisions and shipped outcomes Comfortable working in fast-moving, experimental environments with incomplete data Experience building or scaling data science practices, including experimentation, metrics, and analytics tooling You will be a good fit if you have: Direct experience supporting monetization systems, including: Subscriptions and pricing Advertising or ad marketplaces Virtual currencies, economies, or gamified monetization Background in consumer B2C products and/or B2B marketplaces About Character.AI Character.AI empowers people to connect, learn and tell stories through interactive entertainment. Over 20 million people visit Character.AI every month, using our technology to supercharge their creativity and imagination. Our platform lets users engage with tens of millions of characters, enjoy unlimited conversations, and embark on infinite adventures. In just two years, we achieved unicorn status and were honored as Google Play's AI App of the Year-a testament to our innovative technology and visionary approach. Join us and be a part of establishing this new entertainment paradigm while shaping the future of Consumer AI! At Character, we value diversity and welcome applicants from all backgrounds. As an equal opportunity employer, we firmly uphold a non-discrimination policy based on race, religion, national origin, gender, sexual orientation, age, veteran status, or disability. Your unique perspectives are vital to our success. #J-18808-Ljbffr

theklicker is an online platform specializing in electronic product price comparison, enabling users to effortlessly compare prices across multiple booking sites. Designed as a one-stop-shop for all electronic products, theklicker is committed to delivering a seamless and user-friendly experience. By integrating cutting-edge technology, theklicker helps customers make informed decisions and find the best deals efficiently. Role Description This is a full-time on-site role for a Data Scientist - Content, based in Palo Alto, CA. The Data Scientist will lead efforts in extracting, analyzing, and interpreting large data sets to generate actionable insights. Day-to-day tasks include conducting statistical analysis, developing detailed data visualizations, applying data science techniques to improve content recommendations, and collaborating with cross-functional teams to optimize the platforms. The candidate will also support the team by identifying trends, patterns, and opportunities to enhance the user experience through data-driven strategies. Qualifications Proficiency in Data Science, including machine learning, predictive modeling, and algorithm development Strong foundation in Statistics and applied statistical methodologies Expertise in Data Analytics and Data Analysis, focusing on identifying trends and solving problems Experience with Data Visualization tools and techniques to present complex data in a user-friendly way Strong programming skills and familiarity with tools such as Python, R, SQL, or similar Excellent problem-solving skills and the ability to handle complex datasets Effective communication and collaboration skills to work in cross-functional teams Bachelor's or Master's degree in Data Science, Statistics, Computer Science, or related fields Experience in e-commerce or price comparison platforms is a plus #J-18808-Ljbffr

Member of Technical Staff, Data Scientist What You'll Work On At Reinforce Labs, we partner directly with customers to build AI systems that enhance the safety and reliability of their complex, high-impact applications. In this role, you'll engage directly with clients to deeply understand their specific challenges, conduct thorough data analysis, and deliver trust and safety AI solutions. You'll implement advanced machine learning techniques including LLMs, reinforcement learning, and deep learning - often translating cutting‑edge research papers into practical applications. This position combines technical depth with significant client‑facing responsibilities. You'll tackle high‑stakes problems with unclear solutions but real‑world consequences. Key responsibilities include: Design industry leading benchmarks, leaderboards to help build clear view of AI safety, security and compliance landscape Develop customer facing reporting and analytics to facilitate communication of safety standards Be the bridge between business teams and tech teams to communicate core internal metrics, results and expectations Maintain internal business dashboards to analyze impacts and make data‑driven decisions Our success is measured by real‑world impact. You'll develop and ship solutions that protect people and platforms at scale while building trusted relationships with the clients who depend on our technology. Must‑Have Apply advanced statistics techniques to build metrics, data insights processing and analytics Hands‑on experience in designing experimentation frameworks Translate data into stories with visualizations to help make data‑driven decisions Experience in BI and analytics tooling Apply ETL skills to build automated data and analytics pipelines Proficiency in Python, SQL and data manipulation skills Nice‑to‑Have Experience partnering with trust & safety leads and background in trust & safety, moderation, AI safety, or security‑focused ML to deliver state‑of‑the‑art solutions [a big plus] An advanced degree in computer science or a related field LLM and agentic framework experience Experience in early‑stage startups Experience in customer‑facing AI technical solutions Who We Are Reinforce Labs is a small team with a clear mission: to use AI to make critical systems safer, not just smarter. We value: Willingness to learn new things, take on diverse tasks, and challenge yourself Hands‑on technical excellence Ownership Ability to handle ambiguity Fast, results‑driven delivery #J-18808-Ljbffr

About Us: Here at Tarro we build products that empower small brick and mortar restaurants by liberating them of the operational burden of running their business. We accomplish this by providing a frictionless connection between them and their customers through our multi-product ecosystem offering AI-enabled order taking, delivery enablement, payment solutions, and point-of-sale software. At Tarro, we use a combination of bits (technology) and atoms (people) to solve real world problems facing small business owners. We obsess over placing our customers first and working backwards from there. When our customers succeed, we succeed. The restaurant industry in the US is over a $1 trillion total addressable market (TAM), but remains relatively underserved by technology. Large chains are able to afford expensive tech that gives them a huge advantage; we believe that small restaurant owners deserve access to the same technologies at an affordable price. Tarro has been profitable for nearly a decade and seen 5x revenue growth in the last three years. As of our last fundraising round in mid-2022, we were valued at $450M and have since seen substantial growth across customer acquisition, product development and company headcount. Thousands of loyal restaurants have entrusted Tarro with their success, and together we have supported nearly 20 million customers. We are proud to be named one of Built In's top companies to work for in 2023. To learn more about our culture, values and how you can be a part of helping mom & pop restaurants thrive, please visit us here! Helping restaurants thrive, not just survive. What we're looking for: We are looking to hire a Data Scientist to drive impactful insights and build data-driven solutions across multiple Tarro product areas. In this role, you'll analyze complex datasets, develop predictive models, and collaborate closely with product, engineering, operations and a variety of stakeholders. You'll own end-to-end data initiatives, deploy models into production, and play a critical role in shaping Tarro's growth and evolution. As a key member of our growing team, you'll move fast, experiment often, and wear many hats to uncover patterns, optimize decision-making, and solve high-impact business challenges. What you will accomplish: You will be responsible for owning entire data science model pipelines, from development to support You will help make key decisions on the technologies and tools we use as we scale You will write high quality code for all parts of our data science pipelines. You will work closely with Marketing, Sales, Customer Success, Product and other functions to define and execute on data diagnosis, prediction, prescriptive and experimentation requirements You will create scalable data science models following software and data engineering practices like versioning, CI/CD, workflow orchestration, data ops and ml ops You will implement rigorous code reviews and testing guidelines to ensure that we have a high quality data science products You will create and improve our data science CI/CD pipeline to enable high developer velocity You will help in improving the life of independent restaurant owners and ultimately their customers About you: You have Bachelors in Computer Science or Engineering, Statistics, or equivalent experience. You have 3+ years of ELT/ETL, data exploration, transformation and building production models. You have 3+ years working with cloud databases, such as Snowflake, Redshift or similar. Practical experience with statistical testing (p/t/z tests, power analysis), time series, regression/classification, clustering, and NLP. You have experience with programming languages such as Python and its usage for data processing, making API calls along with Advanced SQL You have built with at least one of OpenAI/Anthropic/Google/OSS (Llama/Mistral), using embeddings, RAG (vector DB + hybrid search + re‑ranking), prompt engineering, function/tool calling, JSON‑schema outputs, and evaluation frameworks (e.g., prompt/unit tests, hallucination checks). You have exposure to MLflow or equivalent for experiment tracking/model registry; data & model versioning; orchestration (Dagster/Airflow); containerization (Docker) and monitoring (latency, cost, quality) You have exceptional product sense, communication and bias to ship Bonus Points: You have experience with dbt, Dagster, MLflow/DVC, Weights & Biases, or Feast/feature stores. You are obsessed with data and patterns to solve business problems. You will be jumping in deep into a new territory for the business, and you have a strong hunger to learn along with us. You got Restaurant tech or marketplace/logistics experience; you're customer‑obsessed and love turning noisy operational data into outcomes. #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

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

Replit is the agentic software creation platform that enables anyone to build applications using natural language. With millions of users worldwide and over 500,000 business users, Replit is democratizing software development by removing traditional barriers to application creation. Replit is redefining how software is built, and who gets to build it. Our mission is to achieve Autonomy for All: making programming accessible, collaborative, and powered by AI. To realize this vision, we are building a brand that is as iconic, inventive, and human as the product itself. You will directly impact Replit's growth by turning user behavior into actionable insights that optimize our marketing efforts, improve conversion funnels, and drive sustainable revenue growth across our self-serve and enterprise segments. You will: Design and analyze marketing experiments to optimize campaigns, messaging, and channel performance across email, paid ads, social, and content marketing. Build attribution models and multi-touch conversion funnels to understand the customer journey from first touch to paid conversion. Develop predictive models to identify high-intent prospects, optimize lead scoring, and improve targeting for paid acquisition campaigns. Partner with marketing, growth, and revenue teams to translate business questions into rigorous analysis and clear recommendations. Create self-service dashboards and automated reporting that surface key marketing metrics (CAC, LTV, ROAS, conversion rates) for go-to-market teams. Build and maintain data pipelines that integrate marketing platforms (Google Ads, Meta, Iterable, Segment, etc.) with our product analytics. Examples of what you could do: Build propensity models to identify which free users are most likely to convert to plans based on usage patterns and engagement signals. Analyze cohort behavior and retention patterns to optimize lifecycle marketing campaigns and reduce churn. Develop segmentation models to personalize messaging and targeting for different user personas (students, hobbyists, professional developers, enterprise teams). Build real-time alerting systems to flag anomalies in campaign performance or conversion metrics, automate bidding adjustments across platforms. Required skills and experience: Bachelor's degree in Computer Science, Statistics, Mathematics, Economics, or related field, OR equivalent real-world experience in data roles. 2-4 years of experience in data science, analytics, or related roles with a focus on marketing, growth, or business analytics. Strong SQL skills and experience working with large datasets, particularly event-level user behavior data, and designing ETL workflows using dbt Proficiency in Python and data science libraries (pandas, scikit-learn, statsmodels, etc.). Experience designing and analyzing A/B tests and experiments, including statistical rigor around sample sizing, significance testing, and causal inference. Experience building dashboards and visualizations (Looker, Tableau, Mode, or similar tools). Ability to translate ambiguous business questions into structured analysis and communicate findings clearly to non-technical stakeholders. Preferred Qualifications: Experience with modern data stack (dbt, BigQuery, Snowflake, Fivetran, etc.). Background in growth analytics, marketing analytics, or conversion rate optimization at a SaaS or PLG company. Familiarity with marketing technology platforms (Google Analytics, Segment, Iterable, Marketo, HubSpot, etc.). Experience with attribution modeling, marketing mix modeling, or incrementality testing. Understanding of PLG (product-led growth) motions and self-serve conversion funnels. Bonus Points: Experience analyzing freemium or usage-based pricing models. Understanding of developer tools, collaborative coding environments, or technical products. Experience with causal inference methods (difference-in-differences, synthetic control, propensity score matching). Familiarity with customer data platforms (CDPs) and event tracking implementation. Experience working with sales and customer success data to analyze expansion revenue and upsell opportunities. This is a full-time role that can be held from our Foster City, CA office. The role has an in-office requirement of Monday, Wednesday, and Friday. Full-Time Employee Benefits Include: 💰 Competitive Salary & Equity 💹 401(k) Program ⚕️ Health, Dental, Vision and Life Insurance 🩼 Short Term and Long Term Disability 🚼 Paid Parental, Medical, Caregiver Leave 🚗 Commuter Benefits 📱 Monthly Wellness Stipend 🧑💻 Autonoumous Work Environement 🖥 In Office Set-Up Reimbursement 🏝 Flexible Time Off (FTO) + Holidays 🚀 Quarterly Team Gatherings ☕ In Office Amenities Want to learn more about what we are up to? Meet the Replit Agent Replit: Make an app for that Replit Blog Amjad TED Talk Interviewing + Culture at Replit Operating Principles Reasons not to work at Replit To achieve our mission of making programming more accessible around the world, we need our team to be representative of the world. We welcome your unique perspective and experiences in shaping this product. We encourage people from all kinds of backgrounds to apply, including and especially candidates from underrepresented and non-traditional backgrounds. #J-18808-Ljbffr

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