Data Science Intern (2027 Start)

Seoulstart; Mountain View (CA); On-site; USD 28,000 - 41,000; Full time

Job summary

Databricks in Mountain View (and San Francisco) is seeking a Data Science Intern for a 2027 start. You will work with the Data team to turn business data into insights that inform product design, customer acquisition strategies, and engineering efficiency.

This internship offers hands-on experience with data science methodologies, collaboration across product, engineering, and finance, and exposure to real company metrics.

Responsibilities

• The data team collaborates with product, customer success, engineering, sales, marketing and finance to turn data into actionable insights.
• Apply data science methods such as causal inference and recommender systems to improve product decisions and system performance.

Job description

Databricks# Data Science Intern (2027 Start)New roles land in Following.Mountain View, California; San Francisco, CaliforniaPosted 2 days agointernshipApply on Databricks's career page## Job description previewFrom Databricks’s 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...Open full posting on Databricks’s site