Entry Level Data Science Engineer Jobs
New grad data science engineer jobs are open to recent graduates and entry level candidates with zero to two years of experience, where a strong portfolio or internship project can outweigh a long resume. Most openings mix on-site and remote roles across Education, Retail, and Technology & Software, with employers like Information Technology Senior Management Forum, Amazon, and Capital One hiring at this level now.
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Showing 5 of 78+ Entry Level Data Science Engineer jobs
EMPLOYER: Sephora USA, Inc.
TITLE: Analyst, Personalization Data Science (Multiple Positions Available)
Belong to Something Beautiful
At Sephora, beauty is about feeling seen, valued, and empowered, individually and collectively. It is connecting deeply with others, celebrating diversity and inclusivity, unlocking your potential, and making a difference every day. Together, we belong to something beautiful.
DUTIES: Develop and implement a set of techniques and analytics to transform raw data into meaningful information using data-oriented programming languages and visualization software. Design and implement innovative analytical solutions and work alongside the product and engineering teams. Apply data mining, advanced feature engineering techniques, and natural language processing to extract and analyze information from large structured and unstructured datasets. Evaluate new features and architecture that will form the basis for innovative data solutions at Sephora. Build comprehensive analytics views of predictive drivers and forecast their growth to perform opportunity sizing. Work from home in the United States permitted.
Job Site:350 Mission Street, Floor 7, San Francisco, CA 94105.
40 hours/week; $133,952– 205,196 / year
EMPLOYER: Sephora USA, Inc.
TITLE: Analyst, Personalization Data Science (Multiple Positions Available)
Belong to Something Beautiful
At Sephora, beauty is about feeling seen, valued, and empowered, individually and collectively. It is connecting deeply with others, celebrating diversity and inclusivity, unlocking your potential, and making a difference every day. Together, we belong to something beautiful.
DUTIES: Develop and implement a set of techniques and analytics to transform raw data into meaningful information using data-oriented programming languages and visualization software. Design and implement innovative analytical solutions and work alongside the product and engineering teams. Apply data mining, advanced feature engineering techniques, and natural language processing to extract and analyze information from large structured and unstructured datasets. Evaluate new features and architecture that will form the basis for innovative data solutions at Sephora. Build comprehensive analytics views of predictive drivers and forecast their growth to perform opportunity sizing. Work from home in the United States permitted.
Job Site:350 Mission Street, Floor 7, San Francisco, CA 94105.
40 hours/week; $133,952– 205,196 / year
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Find JobsEntry Level Data Science Engineer Job Market
Who's Hiring
- Information Technology Senior Management Forum9
- Amazon8
- Capital One6
- Deloitte3
- Apple2
Top Industries Hiring
- Education19
- Retail13
- Technology & Software13
- E-Commerce & Online Marketplaces9
- Banking & Financial Services8
Entry Level Data Science Engineer Jobs: Frequently Asked Questions
How do I get an entry level data science engineer job?
Build a portfolio that shows you can clean messy data, train models, and communicate results clearly. Employers at this level look for hands-on projects on GitHub, familiarity with Python and SQL, and exposure to tools like Spark or TensorFlow. Internship experience helps, but self-directed projects and bootcamp work are widely accepted. Tailor each application to the tech stack listed in the job description.
Which companies hire entry level data science engineers?
Companies hiring entry level data science engineers right now include Information Technology Senior Management Forum, Amazon, and Capital One, based on current listings on Migrate Mate as of July 2026. The hiring mix covers large technology firms, early-stage startups, and established enterprises in finance and healthcare, many of which run structured new grad programs or rotational cohorts designed for candidates just entering the field.
Are there remote entry level data science engineer jobs?
Yes, though on-site and hybrid roles still make up a significant share of new grad postings. About 27% of entry level data science engineer openings are remote or hybrid as of July 2026, so candidates who prefer flexibility have real options while those open to in-person work will find the widest selection of roles to choose from.
Are these new grad data science engineer jobs?
Yes, the listings here include new grad, recent graduate, and junior data science engineer roles. A posting is new-grad friendly when it welcomes zero to two years of experience, counts internships or co-ops as qualifying experience, or explicitly accepts a strong portfolio in place of full-time work history. These signals indicate the employer is prepared to invest in someone early in their career.
Which industries hire the most entry level data science engineers?
Entry Level data science engineer roles concentrate in Education, Retail, and Technology & Software, based on current listings on Migrate Mate as of July 2026. Those sectors generate large volumes of structured and unstructured data that require engineering pipelines to be built and maintained, which creates consistent demand for junior talent who can contribute to data infrastructure from day one.