Entry Level Senior Data Science Engineer Jobs
New grad senior data science engineer jobs welcome recent graduates and entry level candidates with zero to two years of experience, where a strong portfolio of projects or internship work can outweigh a long resume. Most openings are on-site 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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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 Senior 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 Senior Data Science Engineer Jobs: Frequently Asked Questions
How do I get an entry level senior data science engineer job?
Build a portfolio of end-to-end projects that show you can collect, clean, model, and communicate data findings. Employers hiring at this level look for hands-on experience with Python or R, SQL, and at least one machine learning framework. Internships, capstone projects, Kaggle competitions, and open-source contributions all demonstrate readiness when you have limited professional experience.
Which companies hire entry level senior data science engineers?
Companies hiring entry level senior data science engineers right now include Information Technology Senior Management Forum, Amazon, and Capital One, based on current listings on Migrate Mate as of June 2026. Hiring at this level comes from a wide range, including technology firms, financial services companies, healthcare organizations, and retailers that are building or expanding their data science functions.
Are there remote entry level senior data science engineer jobs?
Yes, though on-site and hybrid roles still make up a significant share of openings at this level. About 27% of entry level senior data science engineer openings are remote or hybrid as of June 2026, so candidates who need flexibility have real options while still having access to in-person roles that can offer stronger mentorship early in a career.
Are these new grad senior data science engineer jobs?
Yes, the listings on this page include new grad, recent graduate, and junior roles alongside other entry level postings. A new grad friendly posting typically welcomes zero to two years of experience, accepts internships or academic projects in place of full-time work history, and treats a strong portfolio as a legitimate substitute for a longer resume.
Which industries hire the most entry level senior data science engineers?
Entry Level senior data science engineer roles concentrate in Education, Retail, and Technology & Software, based on current listings on Migrate Mate as of June 2026. These sectors drive entry level hiring because they generate large volumes of structured and unstructured data and need analysts who can build models and surface insights, even at the early-career stage.