Data Scientist Jobs in San Francisco, USA

Data Scientist, Codex at Openai. Apply via Ashby.

Data Scientist, Infrastructure at Openai. Apply via Ashby.

Data Scientist, Identity at Openai. Apply via Ashby.

Data Scientist, GTM Growth Products at Openai. Apply via Ashby.

Data Scientist, Platform and B2B Products at Openai. Apply via Ashby.

Data Scientist, Product at Openai. Apply via Ashby.

Data Scientist, Business at Openai. Apply via Ashby.

Data Scientist, Safety Systems at Openai. Apply via Ashby.

Data Scientist, Safety at Openai. Apply via Ashby.

Data Scientist, Preparedness at Openai. Apply via Ashby.

Data Scientist, Financial Engineering at Openai. Apply via Ashby.

<p>P-57</p> <p>At Databricks, we are obsessed with enabling data teams to solve the world's toughest problems, from security threat detection to cancer drug development. We do this by building and running the world's best Data Intelligence Platform, so our customers can focus on the high value challenges that are central to their own missions.</p> <p>Founded in 2013 by the original creators of Apache Spark, Databricks has grown from a tiny corner office in Berkeley, California to a global organization with over 1000 employees. Thousands of organizations, from small to Fortune 100, trust Databricks with their mission-critical workloads, making us one of the fastest growing SaaS companies in the world.</p> <p>Our engineering teams build highly technical products that fulfill real, important needs in the world. We constantly push the boundaries of data and AI technology, while simultaneously operating with the resilience, security and scale that is critical to making customers successful on our platform.</p> <p>We develop and operate one of the largest scale software platforms. The fleet consists of millions of virtual machines, generating terabytes of logs and processing exabytes of data per day. At our scale, we regularly observe cloud hardware, network, and operating system faults, and our software must gracefully shield our customers from any of the above.</p> <p>As a Data Scientist on the Data Team, you will help build a data-driven culture within Databricks by helping solve product and business challenges. The Data team also functions as an in-house, production "customer" that dogfoods Databricks and drives the future direction of the products.</p> <p><strong>The impact you will have:</strong></p> <ul> <li>Shape the direction of some of our key data science areas - segmentation, recommendation systems, forecasting, product analytics, churn prediction and insights.</li> <li>Work closely with Engineering, Product Management, Sales and Customer Success to understand product usage patterns and trends and make data-driven decisions, recommendations and forecasts.</li> <li>Manage stakeholders for their focus area - gather changing requirements, define project OKRs and milestones, and communicate progress and results to a non-technical audience.</li> <li>Mentor and guide junior data scientists on the team by helping with project planning, technical decisions, and code and document review.</li> <li>Represent the data science discipline throughout the organization, having a powerful voice to make us more data-driven</li> <li>Build self-serving internal data products to make data simple within the company.</li> <li>Represent Databricks at academic and industrial conferences & events.</li> </ul> <p><strong>What we look for:</

<p>RDQ426R282<br><br>Databricks is building the world's best and most secure platform for data and AI. We innovate and deploy industry-leading solutions in security, compliance, and governance. </p> <p>As a member of the Trust and Safety Data Science team, you will work on projects critical to ensuring the security and compliance of the Databricks Platform. Our customers depend on Databricks to keep their data safe, all while orchestrating millions of virtual machines across three clouds in dozens of regions around the globe.</p> <p>Our engineering teams build highly technical products that fulfill real, important needs in the world. We always push the boundaries of data and AI technology, while simultaneously operating with the security and scale that is critical to making customers successful on our platform. We serve many companies with varying security and compliance needs. To efficiently serve these markets, we need to understand how customers use our existing features. This requires data-driven analysis of all aspects of security programs at Databricks.</p> <p>Customers also trust Databricks with their most valuable data and we have the mission to build the most trusted data analytics and ML platform in the world. We’re looking to expand our Trust and Safety Data Science team. You will join a group of “full stack” data scientists who partner with engineering and security teams, focusing on strategic plans that make Databricks secure and safe for our customers. The team will use statistical and machine learning techniques for fraud and abuse detection on our platforms using state of the art methods . You can read more about some of our efforts in this <a href="https://www.databricks.com/blog/protecting-your-compute-resources-bitcoin-miners-data-lakehouse">blog post</a>. The work in fraud and abuse detection is dynamic and essential, offering an opportunity to make a substantial impact in maintaining the security and efficiency of business operations.</p> <p>More information is available at<a href="https://www.databricks.com/trust"> </a><a href="https://www.databricks.com/trust">https://www.databricks.com/trust</a>.<br><br></p> <p>The impact you will have:</p> <ul> <li>You will develop and implement Machine Learning models to detect anomalous activity in products that we offer.</li> <li>You will analyze the performance and pricing of security-related features and work with product and engineering teams to identify important opportunities.</li> <li>You will collaborate with security engineers, trust and safety experts, and machine learning engineers to build a variety of systems and tools that protect Databricks and our customers from threats.</li> <li>You will create solutions and frameworks to meet compliance requirements

Data Scientist - Credit & Risk at Divineresearch. Apply via Ashby.

Founding Data Scientist / Machine Learning Engineer at Palladio. Apply via Ashby.