Entry Level Data Science Director Jobs
New grad data science director jobs are open to recent graduates and entry level candidates with zero to two years of experience, where a strong portfolio or internship work can matter more than 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 Data Science Director 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 Director Jobs: Frequently Asked Questions
How do I get an entry level data science director job?
Employers hiring at the entry level look for candidates who can demonstrate hands-on data work, even if experience is limited. A portfolio of projects showing data modeling, analysis, or visualization gives you an edge. Internship experience in analytics or data science translates directly. Familiarity with tools like Python, SQL, or Tableau and a degree in a quantitative field are common hiring signals at this stage.
Which companies hire entry level data science directors?
Companies hiring entry level data science directors right now include Information Technology Senior Management Forum, Amazon, and Capital One, based on current listings on Migrate Mate as of July 2026. Both large enterprises building out data teams and mid-size companies establishing data practices for the first time tend to hire at this level.
Are there remote entry level data science director jobs?
Yes, though on-site roles make up the majority of openings at this stage. About 27% of entry level data science director openings are remote or hybrid as of July 2026, giving candidates flexibility to apply outside their local market while still finding strong options close to home.
Are these new grad data science director jobs?
Yes, these listings include new grad, recent graduate, and junior roles that welcome candidates with little to no professional experience. A new grad-friendly posting typically notes that zero to two years of experience is acceptable, or explicitly welcomes internship work, academic projects, or a strong portfolio in place of a long employment history.
Which industries hire the most entry level data science directors?
Entry Level data science director roles concentrate in Education, Retail, and Technology & Software, based on current listings on Migrate Mate as of July 2026. These sectors generate large volumes of data and are actively building foundational data leadership capacity, making them the most active sources of junior hiring in this role.