DataBricks-posted 4 months ago
Full-time • Entry Level
Mountain View, CA
5,001-10,000 employees
Professional, Scientific, and Technical Services

At Databricks, we are passionate about helping data teams solve the world's toughest problems - from making the next mode of transportation a reality to accelerating the development of medical breakthroughs. We do this by building and running the world's best data and AI infrastructure platform so our customers can use deep data insights to improve their business. As a Data Scientist, you will join the Data team of data scientists and engineers to turn Databricks business and operations data into insights for product design, strategies for customer acquisition/retention, and optimizations to engineering system efficiency/stability/performance. The Data team also functions as an internal "customer" that dogfoods the Databricks platform and drives product improvements. We are hiring for the Mountain View, CA office. We will discuss more with you as you move through the process!

  • Work with the Data team and cross-functional stakeholders (Product, Customer Success, Engineering, Sales, Marketing and Finance) to use data to solve problems
  • Apply your expertise in data science methodologies to real data to deliver insights and/or deploy algorithms to the Databricks platform
  • Manage your own project end-to-end from requirements gathering, data exploration to presenting insights to stakeholders and/or deployment an algorithm in a production environment
  • You will have graduated in December 2024 or Spring 2025 with a Master's or PhD degree in a quantitative field (e.g., Statistics, Math, Computer Science, Physics, Economics, Operational Research or Engineering) and are looking to start immediately.
  • Proven ability to work with data in SQL and Python
  • Experience with multiple statistical data analysis and machine learning methods such as generalized linear regression, regression and classification trees, unsupervised learning methods, causal inference, stochastic processes, time series forecasting
  • You are excited to solve ambiguous problems with a collaborative team
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