Data Science Interns

DatabricksSan Francisco, CA
Internship

4 months ago

Description

Job Title

Data Science Intern (2024 Start)

Job Location

San Francisco, California

Job Overview

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.

Compensation

SF Bay Area Hourly Rate

  • $50-$55 USD

Responsibilities

  • 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

Requirements

  • You will graduate in fall 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)
  • 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

We're excited for you to apply!

Ad image

Get email updates for the latest Data Science Interns jobs in San Francisco, CA

INSIGHTS

Understand more about this internship and other internships like this

Career Paths

People who completed this type of internship end up in the following types of jobs

Top majors

That get hired for this type of internship

  • Computer Science14%

  • Management Science12%

  • Economics7%

  • Statistics6%

  • Mathematics5%

  • 220 other majors53%

People who did this kind of internship end up at the following companies

  • Deloitte
  • Google
  • Amazon
  • Accenture
  • Microsoft
Estimated Monthly Living Expenses

For San Francisco, CA | $6,327/mo

  • Housing/Rent$3,927

  • Miscellaneous$1,096

  • Food$570

  • Utilities$368

  • Transportation$366

GETTING THIS POSITION

Learn how to get your resume noticed and nail that interview.

Your Internship Checklist

DID YOU KNOW:

Recruiters spend an average of six seconds on each resume?

FREQUENTLY ASKED IN INTERVIEWS

Why do you want to work here?

Employers want to see that you’ve done your homework and are excited about the company. 

Other essential interview questions:

  • Tell me about yourself.
  • How would people describe you?
  • Which is your most significant accomplishment?
  • What is your greatest strength?
  • What is your greatest weakness?
  • What are your preferred programming languages and why?
  • What is a class? What is a super-class?
  • What is a default constructor? What is a conversion constructor?
  • What is the difference between C and C++ ? Would you prefer to use one over the other?
  • What is multiple inheritance? What are its advantages and disadvantages?

Learn more

Always be on the alert for potentially fraudulent job postings online. Report potential fraud to us if you're unsure about the legitimacy of a job posting or employer on Chegg Internships.

  • Never accept a check or other funds from a company to purchase materials necessary for your position.
  • Avoid and report situations where employers require payment or work without compensation as part of the application process.
  • Avoid corresponding with anyone who reaches out via text or email or outside of the Chegg Internships platform that you don't recognize.
  • Be wary of Google Hangout or Skype interviews as these are not publicly-listed numbers that can be used to verify the legitimacy of the interviewer.