Entry Level Senior Staff Data Scientist Jobs
New grad senior staff data scientist jobs open doors for 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 Retail, Consumer Goods, and E-Commerce & Online Marketplaces roles with a mix of on-site, remote, and hybrid settings, with employers like Walmart, EY, and Machinify hiring at this level now.
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Position Summary...
What you'll do...
Walmart Marketplace Walmart Marketplace is a key part of e-commerce at Walmart. It is a gateway for Third-Party Sellers to manage their operations, such as onboarding, catalogs, order fulfillment, global opportunities, and return & refund management. We are responsible for providing the best in-class marketplace experience for our sellers and customers through the design, development, and operations of highly scalable systems. We interact with multiple teams within the company to develop scalable, robust technical solutions. The data scientist role will be part of the data science team and will play a key role working along with others within the Marketplace engineering organization, product managers and business stakeholders to build Machine Learning products. More about Marketplace: https://marketplace.walmart.com/ Position Responsibilities As a Staff Data Scientist for Walmart, you’ll have the opportunity to- Research and implement state-of-the-art machine learning techniques, including deep learning, reinforcement learning, and NLP.
- Collaborate cross-functionally with stakeholders to align AI solutions with Walmart’s business objectives.
- Design and optimize ML pipelines, ensuring scalability, efficiency, and real-time processing capabilities.
- Build and deploy end-to-end models, balancing accuracy, computational efficiency, and business impact.
- Explore and integrate the latest AI advancements, ensuring Walmart remains a leader in AI-driven delivery solutions.
- Prior experience in Supply Chain Data Science would be preferable
- Hands on experience in Network optimization would be an added advantage
- Hands on experience in distributed computing framework like Spark is mandatory
- Very good knowledge of the foundations of machine learning and statistics
- Experience in machine learning, supervised and unsupervised and deep learning.
- Experience in analyzing the complex problems and translate it into data science algorithms
- Experience with big data analytics - identifying trends, patterns, and outliers in large volumes of data
- Strong Experience in Python with excellent knowledge of Data Structures
- Strong Experience with big data platforms – Hadoop (Hive, Pig, Map Reduce, Scala, Spark)
- Hands on experience with Git
- Experience with SQL and relational databases, data warehouse
- Ph.D. or equivalent advanced degree in Computer Science, Statistics, Operations Research, Economics, or a related field.
- Extensive experience in machine learning, reinforcement learning, GenAI, LLMs, and NLP.
- 5+ Years of experience of deploying ML models in production, preferably in high-scale environments.
- Strong programming skills in Python, Java, C, or C++.
- Experience with large-scale data systems (Spark/Hive) and cloud computing (GCP/Azure).
- Ability to drive projects from conception to production in a fast-paced, dynamic environment.
- Excellent communication and leadership skills, with the ability to influence and inspire cross-functional teams.
Eligibility requirements apply to some benefits and may depend on your job classification and length of employment. Benefits are subject to change and may be subject to a specific plan or program terms.
For information about benefits and eligibility, see One.Walmart.
The annual salary range for this position is $143,000.00 - $286,000.00 Additional compensation includes annual or quarterly performance bonuses. Additional compensation for certain positions may also include :
- Stock
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Minimum Qualifications...
Outlined below are the required minimum qualifications for this position. If none are listed, there are no minimum qualifications.
Option 1: Bachelors degree in Statistics, Economics, Analytics, Mathematics, Computer Science, Information Technology or related field and 4 years' experience in an analytics related field. Option 2: Masters degree in Statistics, Economics, Analytics, Mathematics, Computer Science, Information Technology or related field and 2 years' experience in an analytics related field. Option 3: 6 years' experience in an analytics or related fieldPreferred Qualifications...
Outlined below are the optional preferred qualifications for this position. If none are listed, there are no preferred qualifications.
Data science, machine learning, optimization models, PhD in Machine Learning, Computer Science, Information Technology, Operations Research, Statistics, Applied Mathematics, Econometrics, Successful completion of one or more assessments in Python, Spark, Scala, or R, Using open source frameworks (for example, scikit learn, tensorflow, torch), We value candidates with a background in creating inclusive digital experiences, demonstrating knowledge in implementing Web Content Accessibility Guidelines (WCAG) 2.2 AA standards, assistive technologies, and integrating digital accessibility seamlessly. The ideal candidate would have knowledge of accessibility best practices and join us as we continue to create accessible products and services following Walmart’s accessibility standards and guidelines for supporting an inclusive culture.Primary Location...
815 Eleventh Ave, Sunnyvale, CA 94089-4731, United States of America Walmart and its subsidiaries are committed to maintaining a drug-free workplace and has a no tolerance policy regarding the use of illegal drugs and alcohol on the job. This policy applies to all employees and aims to create a safe and productive work environment.See All 21 Entry Level Senior Staff Data Scientist Jobs
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Find JobsEntry Level Senior Staff Data Scientist Job Market
Who's Hiring
- Walmart16
- EY1
- Machinify1

- Sam's Club1
- Neon Aero1

Top Industries Hiring
- Retail16
- Consumer Goods2
- E-Commerce & Online Marketplaces2
- Education1
- Aerospace & Defense1
Entry Level Senior Staff Data Scientist Jobs: Frequently Asked Questions
How do I get an entry level senior staff data scientist job?
Build a portfolio that shows end-to-end project work: data cleaning, modeling, and clear communication of results. Employers hiring at this level look for proficiency in Python or R, familiarity with SQL, and some exposure to machine learning frameworks. Internship experience, open-source contributions, or a capstone project from a degree or bootcamp program all signal readiness and give you a concrete edge over candidates with coursework alone.
Which companies hire entry level senior staff data scientists?
Companies hiring entry level senior staff data scientists right now include Walmart, EY, and Machinify, based on current listings on Migrate Mate as of July 2026. A mix of large tech firms, data-driven startups, and enterprise organizations across finance, healthcare, and retail regularly post openings that welcome candidates at the junior end of the experience range.
Are there remote entry level senior staff data scientist jobs?
Yes, though availability varies by employer and team structure. About 20% of entry level senior staff data scientist openings are remote or hybrid as of July 2026, reflecting how broadly data science work translates across distributed settings. Fully on-site roles still exist, particularly at companies that emphasize in-person collaboration during early-career development.
Are these new grad senior staff data scientist jobs?
Yes, the listings on this page include new grad, recent graduate, and junior roles. A posting is new-grad friendly when it explicitly welcomes zero to two years of experience, treats internships and academic projects as qualifying background, or accepts a strong portfolio in place of full-time history. Searching for junior and new grad roles alongside entry level turns up the broadest set of opportunities at this stage.
Which industries hire the most entry level senior staff data scientists?
Entry Level senior staff data scientist roles concentrate in Retail, Consumer Goods, and E-Commerce & Online Marketplaces, based on current listings on Migrate Mate as of July 2026. These sectors generate large volumes of structured and unstructured data, creating steady demand for early-career analysts and scientists who can build models, run experiments, and translate findings into decisions.