Entry Level Data Scientist Jobs
New grad data scientist jobs welcome recent graduates and entry level candidates with zero to two years of experience, where a strong portfolio or internship project can matter more than a long resume. Most openings are Technology & Software, Banking & Financial Services, and Retail roles across a mix of on-site, remote, and hybrid settings, with employers like Capital One, Amazon, and TikTok hiring at this level now.
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Showing 5 of 184+ Entry Level Data Scientist jobs
Job Title: Data Scientist
Location: St Louis, MO(hybrid)Duration: 12 Months with Possibility for ExtensionArrangements: Hybrid engagement (at least 3 days on-site, which include Tuesday and Wednesday)Interview process: 2 rounds. The first will be via Teams and the 2nd will be onsite at St Louis, MO. Will be panel with up to 3 interviewers.
Job Description:
- Generates reports and regular datasets or report information for end-users, using system tools and database or data warehouse queries and scripts. May create specifications for reports based on business requests.
- Designs, develops and programs methods, processes, and systems to consolidate and analyze structured and unstructured, diverse sources to generate actionable insights and solutions for client services and product enhancement. Analyzes and models data to understand complex business issues and provide insight to decision makers. Integrates data from multiple sources to produce requested or required data elements. Programs and maintains reports, information dashboards, data generators, canned reports and other end-user information portals or resources.
- Uses advanced mathematical and statistical concepts and theories to analyze and collect data; identifies and interprets trends and patterns in datasets.
- Supports complex business problems and issues using unstructured data from internal and external sources to provide insight to decision-makers.
- Builds or defines machine learning / Artificial Intelligence (AI) solutions that create value for the business.
Key responsibilities include:
- Addresses business problems by applying advanced analytics techniques through broad parameters on big, unstructured data sets.
- Designs databases for unstructured data sets, defining how the data will be stored, consumed, integrated and managed.
- Develops optimal techniques and problem-solves to understand and explore multiple reasons for correlations between disparate data sets; provides coaching on how to transform and clean data into an appropriate form for statistical analysis.
- Conducts exploratory data analysis from complex data sources and builds key data sets.
- Works closely with data analysts and data engineers to review and provide feedback on data pipelines and optimization opportunities.
- Translates complex business requirements and technical designs into data science / artificial intelligence solutions aligned to business goals that deliver measurable value to the organization.
Pay: $45.00 - $50.00 per hour
Work Location: Hybrid remote in St. Louis, MO 63103
Job Title: Data Scientist
Location: St Louis, MO(hybrid)Duration: 12 Months with Possibility for ExtensionArrangements: Hybrid engagement (at least 3 days on-site, which include Tuesday and Wednesday)Interview process: 2 rounds. The first will be via Teams and the 2nd will be onsite at St Louis, MO. Will be panel with up to 3 interviewers.
Job Description:
- Generates reports and regular datasets or report information for end-users, using system tools and database or data warehouse queries and scripts. May create specifications for reports based on business requests.
- Designs, develops and programs methods, processes, and systems to consolidate and analyze structured and unstructured, diverse sources to generate actionable insights and solutions for client services and product enhancement. Analyzes and models data to understand complex business issues and provide insight to decision makers. Integrates data from multiple sources to produce requested or required data elements. Programs and maintains reports, information dashboards, data generators, canned reports and other end-user information portals or resources.
- Uses advanced mathematical and statistical concepts and theories to analyze and collect data; identifies and interprets trends and patterns in datasets.
- Supports complex business problems and issues using unstructured data from internal and external sources to provide insight to decision-makers.
- Builds or defines machine learning / Artificial Intelligence (AI) solutions that create value for the business.
Key responsibilities include:
- Addresses business problems by applying advanced analytics techniques through broad parameters on big, unstructured data sets.
- Designs databases for unstructured data sets, defining how the data will be stored, consumed, integrated and managed.
- Develops optimal techniques and problem-solves to understand and explore multiple reasons for correlations between disparate data sets; provides coaching on how to transform and clean data into an appropriate form for statistical analysis.
- Conducts exploratory data analysis from complex data sources and builds key data sets.
- Works closely with data analysts and data engineers to review and provide feedback on data pipelines and optimization opportunities.
- Translates complex business requirements and technical designs into data science / artificial intelligence solutions aligned to business goals that deliver measurable value to the organization.
Pay: $45.00 - $50.00 per hour
Work Location: Hybrid remote in St. Louis, MO 63103
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Find JobsEntry Level Data Scientist Job Market
Who's Hiring
- Capital One15
- Amazon12
- TikTok8
- Walmart8
- DoorDash7
Top Industries Hiring
- Technology & Software66
- Banking & Financial Services24
- Retail23
- E-Commerce & Online Marketplaces17
- Insurance7
Entry Level Data Scientist Jobs: Frequently Asked Questions
How do I get an entry level data scientist job?
Entry level data scientist employers look for hands-on evidence of skill over a long work history. A portfolio of projects built in Python or R, familiarity with SQL and basic machine learning libraries, and at least one internship or capstone project can give you a real edge. Tailoring your application to each job description and highlighting what you built and why it mattered helps your resume stand out at this stage.
Which companies hire entry level data scientists?
Companies hiring entry level data scientists right now include Capital One, Amazon, and TikTok, based on current listings on Migrate Mate as of August 2026. Hiring at this level comes from a broad range of employers, including fast-growing startups building out analytics teams for the first time and established organizations looking to expand junior data science capacity.
Are there remote entry level data scientist jobs?
Yes, though availability varies by employer and industry. About 39% of entry level data scientist openings are remote or hybrid as of August 2026, so a meaningful share of roles offer flexibility even for candidates just starting out. Filtering by work setting on Migrate Mate lets you see which specific openings match the arrangement you're looking for.
Are these new grad data scientist jobs?
Yes, these listings include new grad, recent graduate, and junior data scientist roles alongside other entry level openings. A posting is generally new-grad friendly when it explicitly welcomes zero to two years of experience, accepts internship or academic project work in place of full-time history, or asks for a portfolio rather than a proven work record. Look for those signals in the job description to quickly assess fit.
Which industries hire the most entry level data scientists?
Entry level data scientist roles concentrate in Technology & Software, Banking & Financial Services, and Retail, based on current listings on Migrate Mate as of August 2026. Those sectors tend to drive hiring at this level because they generate large volumes of structured and unstructured data and need junior analysts and scientists to help turn it into actionable insight.