Data engineer jobs in Oakland, CA - 23,495 jobs

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

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

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

A leading 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

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 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

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

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

Traditional credit was built for people who already have money. Requirements for credit history, collateral, and costly underwriting create insurmountable barriers for those who need capital most. Over 1.4 billion people lack access to credit. A vendor in Lagos earns cash daily but can't prove a steady income. A Colombian nurse with years of perfect informal repayments remains invisible to banks. We built an alternative called Credit. Since December 2024, it has issued hundreds of thousands of undercollateralized loans using stablecoins. People from around the world have used these loans to pay for things like groceries, medicine, and transportation. Backed by $6.6 million from Paradigm and Nascent, we're scaling a system that has already reached half a million unique borrowers. Help us take it to the next level. About the role We seek a talented data scientist to expand our data infrastructure and drive insights across our products, including Credit, our leading undercollateralized lending system. You'll design key metrics, develop analytics infrastructure, and transform onchain data into strategic insights that shape product and roadmap decisions. Stack Python SQL Grafana/Prometheus Statistical modeling and visualization tools Blockchain data and indexing tools (Dune, Shovel) Key responsibilities Work with product and research teams to design north star metrics Build data pipelines, scalable infrastructure, and dashboards Transform key metrics and trends into actionable guidance for product, roadmap, and GTM Design and analyze A/B tests and experiments Conduct in-depth analyses of user behavior and usage patterns Requirements 4+ years of experience as a Data Scientist or Research Analyst Proficiency in Python, SQL, and data analysis tools Understanding of EVM-compatible chains, smart contract data, and indexing tools Exceptional problem-solving skills, attention to detail, and ability to drive initiatives independently Nice to have Proficiency with Grafana, Dune, or Prometheus Experience building large-scale data pipelines and infrastructure Strong understanding of DeFi protocol mechanics (lending, yield vaults, ERC4626, etc.) Experience with TypeScript and React-based frameworks Divine Research is an equal opportunity employer. #J-18808-Ljbffr

A leading AI organization in San Francisco seeks a Data Scientist to enhance its checkout and payments systems. The role requires strong analytical skills and fluency in SQL and Python. You will lead experiments that drive revenue and improve user experience through data-backed strategies. An ideal candidate has over 5 years in quantitative roles, especially in fintech environments. The position supports a hybrid work model and offers relocation assistance. #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

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 fuel management solutions provider in Palo Alto is seeking a Senior Data Scientist to enhance decision-making through analytics. This hybrid role requires over 5 years of experience in data science, proficiency in SQL and Python, and strong communication skills. You will lead machine learning projects, mentor junior team members, and drive data initiatives that align with company growth. Competitive salary and benefits offered. #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

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

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