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 Technology & Software, Education, and Retail, with employers like Amazon, TikTok, and University of Illinois hiring at this level now.
Find JobsOverview
Open roles34
Top stateCalifornia
Top employerAmazon
Top citySan Jose, CA
Work type50% On-site
Top industryTechnology
Showing 5 of 34+ Entry Level Data Science Engineer jobs
Data Science Analyst - Growth, Marketing & Sales Practice
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Added 5d ago
McKinsey & Company
Data Science Analyst - Growth, Marketing & Sales Practice
Atlanta, Georgia
Added 5d ago
Lead Data Scientist, Data Science
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Added 5d ago
National Grid
Lead Data Scientist, Data Science
Brooklyn, New York
Added 5d ago
2027 Data Science Internship - United States, PhD or Masters Student
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Added 6d ago
Amazon.com
2027 Data Science Internship - United States, PhD or Masters Student
Seattle, Washington
Added 6d ago
TECO Spring 2027 Internship - Drone & Diagnostics Center, Data Science
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Added 1w ago
Tampa Electric Company
TECO Spring 2027 Internship - Drone & Diagnostics Center, Data Science
Lutz, Florida
Added 1w ago
Computational and Data Science Research Specialist
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Added 1w ago
UC San Diego
Computational and Data Science Research Specialist
San Diego, California
Added 1w ago
Added 5d ago
Data Science Analyst - Growth, Marketing & Sales Practice
McKinsey & Company·Atlanta, Georgia
Job functions:
Full Time
Job Description
Job ID: 112517
- Atlanta
- Boston
- Chicago
- Dallas
- Denver
- Miami
- New Jersey
- New York City
- San Francisco
- Seattle
+ 2 More
Do you want to do work that matters, alongside supportive leaders who will help you grow faster than you ever thought possible? Are you a creative problem-solver who is energized by challenges? You’ve come to the right place.
YOUR IMPACT
You will collaborate with colleagues and clients to create new strategies across a wide platform of projects, from customer life-cycle management, MROI, pricing and promotions, marketing mix modeling, to analytic transformation.
You will help to expand our current analytics capabilities and architect new strategies and applications within a dynamic innovative organization. You will shape the future of what data-driven organizations look like, drive processes for extracting and using that data in creative ways and create new lines of thinking within an infinite number of clients and situations, with an eye on optimizing every aspect of our clients’ marketing practices.
Through the measurement, manipulation, reporting and dissemination of broad sets of data, you will create valuable, transformative business strategies. You’ll apply and advise teams on the state-of-the-art advanced analytic and quantitative tools and modeling techniques to derive business insights, solve complex business problems and improve decisions.
You will be a core member of the consulting team, conducting deep analytics on a broad set of client and external data playing a lead role in team problem solving through findings and insights from that analysis.
You’ll also lead and support the development of knowledge for our firm’s analytics group. You may do this by creating a roadmap for a greater understanding of analytics and its impact on the consulting population or by partnering with other analytics consultants to ensure timely and effective methods on the extraction, assembly and transfer of broad, complex sets of data.
You’ll be working in one of our offices in North America within our Growth, Marketing & Sales practice.
The Growth, Marketing & Sales Practice strives to help clients in both consumer and business-to-business environments on a wide variety of marketing and sales topics. Our clients benefit from our experience in core areas of marketing such as branding, customer insights, marketing ROI, digital marketing, CLM, pricing, and sales and channel management. Our Practice offers an exceptional opportunity to work at the intersection of marketing, sales and consulting. Focusing on issues like redefining marketing and sales operations and commercial transformation, our people help clients build capabilities and transform how companies go to market - moving them to customer centric organizations.
YOUR GROWTH
Driving lasting impact and building long-term capabilities with our clients is not easy work. You are the kind of person who thrives in a high performance/high reward culture - doing hard things, picking yourself up when you stumble, and having the resilience to try another way forward.
In return for your drive, determination, and curiosity, we'll provide the resources, mentorship, and opportunities you need to become a stronger leader faster than you ever thought possible. Your colleagues—at all levels—will invest deeply in your development, just as much as they invest in delivering exceptional results for clients. Every day, you'll receive apprenticeship, coaching, and exposure that will accelerate your growth in ways you won’t find anywhere else.
When you join us, you will have:
- Continuous learning: Our learning and apprenticeship culture, backed by structured programs, is all about helping you grow while creating an environment where feedback is clear, actionable, and focused on your development. The real magic happens when you take the input from others to heart and embrace the fast-paced learning experience, owning your journey.
- A voice that matters: From day one, we value your ideas and contributions. You’ll make a tangible impact by offering innovative ideas and practical solutions, all while upholding our unwavering commitment to ethics and integrity. We not only encourage diverse perspectives, but they are critical in driving us toward the best possible outcomes.
- Global community: With colleagues across 65+ countries and over 100 different nationalities, our firm’s diversity fuels creativity and helps us come up with the best solutions for our clients. Plus, you’ll have the opportunity to learn from exceptional colleagues with diverse backgrounds and experiences.
- World-class benefits: On top of a competitive salary (based on your location, experience, and skills), we provide a comprehensive benefits package to enable holistic well-being for you and your family.
YOUR QUALIFICATIONS AND SKILLS
- Undergraduate degree in computer science, machine learning, applied statistics, mathematics, engineering, artificial intelligence, or a related field
- Strong academic qualifications, including advanced understanding/coursework in database management and math (linear, algebra, calculus)
- Emerging knowledge in statistical data analysis and data mining packages (e.g., R, SAS, SPSS, Alteryx, MatLab, STATA, Excel)
- Emerging knowledge of data management tools including SQL/RDBMS, NoSQL (e.g. MongoDB), Hadoop and/or other big data technologies
- Programming skills in at least one of the following - Python, R, and/or Java
- Emerging knowledge in linking multiple data platforms (social media, open, etc.) and with data visualization tools (e.g., Tableau)
- Intellectual curiosity, along with excellent problem-solving and quantitative skills, including the ability to disaggregate issues, identify root causes and recommend solutions
- Ability to independently own database development and decisions, balancing demands and deadlines
- Exceptional time management to meet your responsibilities in a complex and largely autonomous work environment
- Willingness to travel up to 80%; ability to travel to and work in varying environments that may be challenging and/or not accessible (e.g., factories, hospitals, mines)
- Ability to work or attend meetings outside of traditional business hours or take on projects with limited or no notice at times
- Strong communication skills, both verbal and written, in English and local office language(s), with the ability to adjust your style to suit different perspectives and seniority levels
Please review the additional requirements regarding essential job functions of McKinsey colleagues.
Our unwavering commitment to integrity drives everything we do, guiding us to always act in the best interests of our clients, our people, and the communities we serve.
McKinsey & Company
Data Science Analyst - Growth, Marketing & Sales Practice
Atlanta, Georgia
Added 5d ago
Job functions:
Full Time
Job Description
Job ID: 112517
- Atlanta
- Boston
- Chicago
- Dallas
- Denver
- Miami
- New Jersey
- New York City
- San Francisco
- Seattle
+ 2 More
Do you want to do work that matters, alongside supportive leaders who will help you grow faster than you ever thought possible? Are you a creative problem-solver who is energized by challenges? You’ve come to the right place.
YOUR IMPACT
You will collaborate with colleagues and clients to create new strategies across a wide platform of projects, from customer life-cycle management, MROI, pricing and promotions, marketing mix modeling, to analytic transformation.
You will help to expand our current analytics capabilities and architect new strategies and applications within a dynamic innovative organization. You will shape the future of what data-driven organizations look like, drive processes for extracting and using that data in creative ways and create new lines of thinking within an infinite number of clients and situations, with an eye on optimizing every aspect of our clients’ marketing practices.
Through the measurement, manipulation, reporting and dissemination of broad sets of data, you will create valuable, transformative business strategies. You’ll apply and advise teams on the state-of-the-art advanced analytic and quantitative tools and modeling techniques to derive business insights, solve complex business problems and improve decisions.
You will be a core member of the consulting team, conducting deep analytics on a broad set of client and external data playing a lead role in team problem solving through findings and insights from that analysis.
You’ll also lead and support the development of knowledge for our firm’s analytics group. You may do this by creating a roadmap for a greater understanding of analytics and its impact on the consulting population or by partnering with other analytics consultants to ensure timely and effective methods on the extraction, assembly and transfer of broad, complex sets of data.
You’ll be working in one of our offices in North America within our Growth, Marketing & Sales practice.
The Growth, Marketing & Sales Practice strives to help clients in both consumer and business-to-business environments on a wide variety of marketing and sales topics. Our clients benefit from our experience in core areas of marketing such as branding, customer insights, marketing ROI, digital marketing, CLM, pricing, and sales and channel management. Our Practice offers an exceptional opportunity to work at the intersection of marketing, sales and consulting. Focusing on issues like redefining marketing and sales operations and commercial transformation, our people help clients build capabilities and transform how companies go to market - moving them to customer centric organizations.
YOUR GROWTH
Driving lasting impact and building long-term capabilities with our clients is not easy work. You are the kind of person who thrives in a high performance/high reward culture - doing hard things, picking yourself up when you stumble, and having the resilience to try another way forward.
In return for your drive, determination, and curiosity, we'll provide the resources, mentorship, and opportunities you need to become a stronger leader faster than you ever thought possible. Your colleagues—at all levels—will invest deeply in your development, just as much as they invest in delivering exceptional results for clients. Every day, you'll receive apprenticeship, coaching, and exposure that will accelerate your growth in ways you won’t find anywhere else.
When you join us, you will have:
- Continuous learning: Our learning and apprenticeship culture, backed by structured programs, is all about helping you grow while creating an environment where feedback is clear, actionable, and focused on your development. The real magic happens when you take the input from others to heart and embrace the fast-paced learning experience, owning your journey.
- A voice that matters: From day one, we value your ideas and contributions. You’ll make a tangible impact by offering innovative ideas and practical solutions, all while upholding our unwavering commitment to ethics and integrity. We not only encourage diverse perspectives, but they are critical in driving us toward the best possible outcomes.
- Global community: With colleagues across 65+ countries and over 100 different nationalities, our firm’s diversity fuels creativity and helps us come up with the best solutions for our clients. Plus, you’ll have the opportunity to learn from exceptional colleagues with diverse backgrounds and experiences.
- World-class benefits: On top of a competitive salary (based on your location, experience, and skills), we provide a comprehensive benefits package to enable holistic well-being for you and your family.
YOUR QUALIFICATIONS AND SKILLS
- Undergraduate degree in computer science, machine learning, applied statistics, mathematics, engineering, artificial intelligence, or a related field
- Strong academic qualifications, including advanced understanding/coursework in database management and math (linear, algebra, calculus)
- Emerging knowledge in statistical data analysis and data mining packages (e.g., R, SAS, SPSS, Alteryx, MatLab, STATA, Excel)
- Emerging knowledge of data management tools including SQL/RDBMS, NoSQL (e.g. MongoDB), Hadoop and/or other big data technologies
- Programming skills in at least one of the following - Python, R, and/or Java
- Emerging knowledge in linking multiple data platforms (social media, open, etc.) and with data visualization tools (e.g., Tableau)
- Intellectual curiosity, along with excellent problem-solving and quantitative skills, including the ability to disaggregate issues, identify root causes and recommend solutions
- Ability to independently own database development and decisions, balancing demands and deadlines
- Exceptional time management to meet your responsibilities in a complex and largely autonomous work environment
- Willingness to travel up to 80%; ability to travel to and work in varying environments that may be challenging and/or not accessible (e.g., factories, hospitals, mines)
- Ability to work or attend meetings outside of traditional business hours or take on projects with limited or no notice at times
- Strong communication skills, both verbal and written, in English and local office language(s), with the ability to adjust your style to suit different perspectives and seniority levels
Please review the additional requirements regarding essential job functions of McKinsey colleagues.
Our unwavering commitment to integrity drives everything we do, guiding us to always act in the best interests of our clients, our people, and the communities we serve.
See All 34 Entry Level Data Science Engineer Jobs
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Find JobsEntry Level Data Science Engineer Job Market
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Top Industries Hiring
- Technology & Software13
- Education10
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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 Amazon, TikTok, and University of Illinois, based on current listings on Migrate Mate as of September 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 50% of entry level data science engineer openings are remote or hybrid as of September 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 Technology & Software, Education, and Retail, based on current listings on Migrate Mate as of September 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.