W-2 Jobs Portal

  • W-2 Open Positions Need to be Filled Immediately. Consultant must be on our company payroll, Corp-to-Corp (C2C) is not allowed.
Candidates encouraged to apply directly using this portal. We do not accept resumes from other company/ third-party recruiters

Job Overview

  • Job ID:

    J36993

  • Specialized Area:

    Data Science

  • Job Title:

    Machine Learning Scientist

  • Location:

    Sunnyvale,CA

  • Duration:

    11 Months

  • Domain Exposure:

    Utilities/ Energy, IT/Software

  • Work Authorization:

    US Citizen, Green Card, OPT-EAD, CPT, H-1B,
    H4-EAD, L2-EAD, GC-EAD

  • Client:

    To Be Discussed Later

  • Employment Type:

    W-2 (Consultant must be on our company payroll. C2C is not allowed)




Job Description

Minimum Qualifications:

  • Masters or equivalent degree in a computational science with 4+ years of post graduate work experience in Machine Learning/Statistics/Data Science, or PhD with 2+ yrs of relevant experience;
  • Experience with traditional as well as modern machine learning/statistical techniques, including Regression, Classification, Regularization, Ensemble Methods, Deep Neural Network, and Hypothesis Testing;
  • Strong implementation experience with high-level languages, such as Python, R, Perl, Ruby, Scala or similar scripting languages; familiarity with Linux/Unix/Shell environments;
  • Strong hands-on skills in sourcing, cleaning, manipulating and analyzing large volumes of data;
  • Strong written and oral communication skills.

Additional Preferred Qualifications:

  • Experience building and maintaining large scale data/machine learning pipelines in online advertising, recommender system, ecommerce or relevant areas;
  • Experience leading machine learning/data science projects;
  • Experience working with product, sales and other key stakeholders to drive business success.


The Walmart eCommerce team is rapidly innovating to evolve and define the future state of shopping. As the world’s largest retailer, we are on a mission to help people save money and live better. With the help of some of the brightest minds in technology, merchandising, marketing, supply chain, talent and more, we are reimagining the intersection of digital and physical shopping to help achieve that mission.


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Equal Opportunity Employer

DIGITAL TECHNOLOGIES LLC is an equal opportunity employer inclusive of female, minority, disability and veterans, (M/F/D/V). Hiring, promotion, transfer, compensation, benefits, discipline, termination and all other employment decisions are made without regard to race, color, religion, sex, sexual orientation, gender identity, age, disability, national origin, citizenship/immigration status, veteran status or any other protected status. DIGITAL TECHNOLOGIES LLC will not make any posting or employment decision that does not comply with applicable laws relating to labor and employment, equal opportunity, employment eligibility requirements or related matters. Nor will DIGITAL TECHNOLOGIES LLC require in a posting or otherwise U.S. citizenship or lawful permanent residency in the U.S. as a condition of employment except as necessary to comply with law, regulation, executive order, or federal, state, or local government contract