drjobs Data Scientist - New Grad (2026 Start)

Data Scientist - New Grad (2026 Start)

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1 Vacancy
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Job Location drjobs

San Francisco, CA - USA

Monthly Salary drjobs

Not Disclosed

drjobs

Salary Not Disclosed

Vacancy

1 Vacancy

Job Description

(P-978)

At Databricks we are passionate about helping data teams solve the worlds 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 worlds 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!

The Impact You Will Have

  • 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

What We Look For

  • You will have graduated in fall 2025 or spring 2026 with a Masters 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

Employment Type

Full Time

Company Industry

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