"data science in" Jobs
5479 open tech roles matching “data science in”, taken straight from company career pages — not reposted from other job boards. Most in demand right now: Python, AI/ML, SQL. Every listing is re-checked daily and closed roles are removed.
Showing 20 of 5479 results
Join Valence as a Senior Data Scientist to shape data-driven decisions and insights for AI-powered coaching tools.
Build trusted data systems to support clinical operations and analytics at a tech-driven pharma company.
Oversee the AI & Automation Center of Excellence at SingleStore, tackling high-impact business problems with AI and automation.
Join Coinbase as a Senior Data Scientist to drive impactful analytics that connect customer support interactions to financial outcomes.
Lead technical engagements for customers as a Sr. Solutions Engineer, driving Databricks adoption in Digital Native businesses.
Drive monetization strategies as a Senior Data Scientist at Suno, shaping revenue growth in a fast-paced AI music company.
Join Block as a Staff Product Data Scientist to enhance credit products for underserved customers in a fully remote environment.
Join Block as a Staff Product Data Scientist to enhance credit products for underserved customers in a fully remote environment.
Join Block as a Staff Product Data Scientist to enhance credit products for underserved customers in a fully remote role.
Join Reddit as a Staff Data Scientist to enhance advertising measurement and identity resolution in a fully remote role.
Join Databricks as a Sr. Solutions Engineer to lead technical strategies for large enterprises in their data-driven transformation.
Join Databricks as a Senior GTM Analytics Engineer to build advanced AI applications and optimize revenue operations.
Join Databricks as a Senior Scale Solution Engineer to empower customers with the Data + AI Platform.
Lead product strategy and corporate development for AI at Datadog, a leader in observability and security platforms.
Join Databricks as a Delivery Solutions Architect to drive customer success and maximize the value of the Databricks Platform.