Data Science Intern (2027 Start)
Join Databricks as a Data Science Intern to turn business data into insights and optimize engineering systems.
Posted by employer 3 years ago
First seen on Joblaze 2 hours ago
Last verified on the company career page 2 hours ago
Skills & Technologies
What you'll build
- Work with the Data team and internal stakeholders to solve problems
- Apply data science methodologies to deliver insights
- Manage your own project end-to-end
- Present insights to stakeholders
- Deploy algorithms in a product environment
Must have
- Proven ability to work with data in SQL and Python
- Graduate in fall 2027 or spring 2028 with a Master's or PhD in a quantitative field
Nice to have
- Experience with statistical data analysis and machine learning methods
Requirements
- Education
- Master's degree
Not disclosed in this posting: years of experience, visa sponsorship.
Joblaze summary
In the role of Data Science Intern at Databricks, the individual will engage with the Data team to analyze business and operational data, transforming it into actionable insights for various internal stakeholders. Key skills include proficiency in SQL and Python, along with experience in statistical analysis and machine learning techniques. This position is ideal for graduate students nearing completion of a Master's or PhD in a quantitative field, who are eager to tackle complex problems in a collaborative environment.
Joblaze insights
- Listed today — first seen on Joblaze October 23, 2026. Last confirmed on Databricks's careers page October 23, 2026.
Quick facts
- Is the Data Science Intern (2027 Start) role remote?
- No — this is an on-site role in Mountain View, California, United States.
- What's the salary range?
- Databricks lists $54–$60 for this role.
- Where is the role based?
- Databricks is hiring for this position in Mountain View, California, United States.
- What's the tech stack?
- Joblaze extracted these technologies from the posting: Python, Recommender Systems, SQL, Stochastic processes, causal inference, classification trees.
- What seniority level is this role?
- Databricks targets intern candidates for this position.
- Is this full-time or contract?
- Internship for this Data Science Intern (2027 Start) role at Databricks.
From the original posting
(P-972)
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 Science Intern, 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 & San Francisco offices. We will discuss more with you as you move through the process!
The Impact You Will Have
- Work with the Data team and internal stakeholders (Product, Customer Success, Engineering, Sales, Marketing and Finance) to use data to solve problems
- Apply your expertise in data science methodologies such as causal inference modeling and recommender systems to real data to deliver insights and/or deploy algorithms to the Databricks platform
- Manage your own project end-to-end from data exploration to presenting insights to stakeholders and/or deployment an algorithm in a product environment
What We Look For
- You will graduate in fall 2027 or spring 2028 with a Master's or PhD degree in a quantitative field (e.g., Statistics, Math, Computer Science, Physics, Economics, Operational Research or Engineering)
- 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
Pay Range Transparency
Databricks is committed to fair and equitable compensation practices. The pay range(s) for this role is listed below and represents the expected salary range for non-commissionable roles or on-target earnings for commissionable roles. Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to job-related skills, depth of experience, relevant certifications and training, and specific work location. Based on the factors above, Databricks anticipates utilizing the full width of the range. The total compensation package for this position may also include eligibility for annual performance bonus, equity, and the benefits listed above. For more information regarding which range your location is in visit our page here.
About Databricks
BenefitsStandard company text repeated across Databricks's postings is omitted here.