Data Scientist Jobs in San Francisco, USA

Associate Data Scientist at Haydenai. Apply via Ashby.

Employer: Amazon Web Services, Inc.<br/>Position: Data Scientist II - AMZ27351.1<br/>Location: San Francisco, CA<br/><br/>Multiple Positions Available:<br/><br/>Design and implement scalable and reliable approaches to support or automate decision making throughout the business. Apply a range of data science techniques and tools combined with subject matter expertise to solve difficult business problems and cases in which the solution approach is unclear. Acquire data by building the necessary SQL / ETL queries. Import processes through various company specific interfaces for accessing Oracle, RedShift, and Spark storage systems. Build relationships with stakeholders and counterparts. Analyze data for trends and input validity by inspecting univariate distributions, exploring bivariate relationships, constructing appropriate transformations, and tracking down the source and meaning of anomalies. Build models using statistical modeling, mathematical modeling, econometric modeling, network modeling, social network modeling, natural language processing, machine learning algorithms, genetic algorithms, and neural networks. Validate models against alternative approaches, expected and observed outcome, and other business defined key performance indicators. Implement models that comply with evaluations of the computational demands, accuracy, and reliability of the relevant ETL processes at various stages of production.<br/><br/>(40 hours / week, 8:00am-5:00pm, Salary Range $175425 - $212800)<br/><br/>Amazon.com is an Equal Opportunity – Affirmative Action Employer – Minority / Female / Disability / Veteran / Gender Identity / Sexual Orientation<br/><br/>

If you are interested in this position, please apply on Twitch's Career site https://www.twitch.tv/jobs/en/<br/><br/>About Us:<br/><br/>Twitch is the world’s biggest live streaming service, with global communities built around gaming, entertainment, music, sports, cooking, and more. It is where thousands of communities come together for whatever, every day.<br/>We’re about community, inside and out. You’ll find coworkers who are eager to team up, collaborate, and smash (or elegantly solve) problems together. We’re on a quest to empower live communities, so if this sounds good to you, see what we’re up to on LinkedIn and X,  and discover the projects we’re solving on our Blog. Be sure to explore our Interviewing Guide to learn how to ace our interview process.<br/><br/>About the Role<br/><br/>Join the Monetization team at Twitch, where we build the products that help creators make a living on the platform. You'll work on products like Subscriptions, Bits, and Gifting, and the pricing and packaging decisions behind them. <br/><br/>You'll partner closely with product, engineering, finance, and data teams to measure the impact of new features, design and analyze experiments, and apply causal inference methods to inform decisions where A/B testing isn't possible. The work ranges from high-velocity experimentation on consumer-facing products to deeper pricing, policy, and segmentation analyses where causal identification is the central challenge.<br/><br/>This role is well-suited for someone with a strong economics or causal ML foundation who wants to apply rigorous statistical thinking to real product decisions at scale. You'll need to be comfortable writing SQL, working with imperfect data, and partnering with stakeholders to turn analysis into product impact. Our team is based at Twitch HQ in San Francisco, CA.<br/><br/>You can work in San Francisco, CA; New York, NY; or Seattle, WA <br/><br/>You Will<br/>- Apply causal inference methods where experimentation isn't feasible<br/>- Develop models and analyses that inform pricing, segmentation, and revenue optimization<br/>- Design, run, and analyze A/B experiments <br/>- Partner with product, engineering, and finance to translate ambiguous business questions into measurement frameworks<br/>- Build and maintain dashboards, reporting, and analytical tooling that support ongoing decision-making<br/><br/>Perks<br/>- Medical, Dental, Vision & Disability Insurance<br/>- 401(k)<br/>- Maternity & Parental Leave<br/>- Flexible PTO<br/>- Amazon Employee Discount

Principal Research Data Scientist at Healthleap. Apply via Ashby.

&lt;h1&gt;&lt;strong&gt;Staff Data Scientist&lt;/strong&gt;&lt;/h1&gt; &lt;p&gt;At Nauto you can make an impact at a high-impact company. We believe technology can help prevent collisions and save lives with predictive-AI that detects driver state and vehicle surroundings in real-time. More than 90% of car crashes can be attributed to human error. Nauto technology is designed to predict risk and alerts the driver with advance warning to help prevent collisions, improve driver safety, and save lives.&lt;/p&gt; &lt;p&gt;Our customers and prospects include many of the largest commercial fleets in the world along with vehicle manufacturers (OEMs), insurance providers, and autonomous vehicle companies. The company is backed by Greylock Partners, BMW iVentures, General Motors Ventures, Toyota AI Ventures, and SoftBank, and is well-positioned for continued growth.&lt;/p&gt; &lt;p&gt;&lt;strong&gt;Position Overview&lt;/strong&gt;&lt;/p&gt; &lt;p&gt;We are seeking a highly experienced and strategic Senior Staff Data Scientist to lead high-impact initiatives that drive measurable business value. In this role, you will be a key driver of data innovation, mentor other data scientists, and collaborate cross-functionally with Product, Engineering, and Business leaders to inform decision-making and product development.&lt;/p&gt; &lt;p&gt;You will be responsible for designing and deploying cutting-edge machine learning models that analyze vision &amp;amp; sensor data, leading analytical initiatives, and shaping the long-term data science strategy. Your work will directly impact driver behavior, vehicle performance, and operational safety across tens of thousands of commercial fleets.&lt;/p&gt; &lt;p&gt;&lt;strong&gt;Key Qualifications&lt;/strong&gt;&lt;/p&gt; &lt;ul&gt; &lt;li&gt;M.Sc. required, Ph.D. a plus in Computer Science, Statistics, Math, Physics or similarly quantitative-heavy field&lt;/li&gt; &lt;li&gt;At least 5+ years of related industry experience&lt;/li&gt; &lt;li&gt;Expertise in a wide range of machine learning techniques, including deep learning, reinforcement learning, and statistical modeling&lt;/li&gt; &lt;li&gt;Experience working with large-scale datasets with solid understanding of data processing, feature engineering, and data visualization techniques&lt;/li&gt; &lt;li&gt;Practical experience with data science and machine learning methods, common cloud-based data analysis tools and frameworks (Spark, SQL, Pandas, Python, R, AWS, GCP, PySpark, scikit-learn, OpenCV, etc).&lt;/li&gt; &lt;li&gt;Embraces scientifically rigorous mindset to algorithm development based on well designed experiments using real-world data to evaluate, validate and iterate&lt;/li&gt; &lt;li&gt;Strong communication and presentation skills, with the ability to effectively convey technical information to internal and external audiences.&lt;/li&gt; &lt;li&gt;Leadership experience is a plus.&lt;/li&gt; &lt;li&gt;Start-up experience a plus.&lt;/li&gt; &lt;/ul&gt; &lt;p&gt;&l

Senior Data Scientist, People and Talent at Airwallex. Apply via Ashby.