(USA) Senior, Data Scientist

WalmartBentonville, AR
$90,000 - $216,000Hybrid

About The Position

Join Marketplace Tech to help power a fast-growing, two-sided platform connecting customers with third-party sellers at massive scale. As a Data Scientist, you’ll turn complex marketplace data into actionable insights and production-ready models that improve seller success, customer experience, trust & safety, and overall marketplace growth. You’ll partner closely with product, engineering, and business teams to define success metrics, run experiments, build predictive and causal solutions, and communicate clear recommendations that drive measurable impact. Immigration Sponsorship support will NOT be available for this position.

Requirements

  • Very good knowledge of the foundations of machine learning and statistics
  • Experience in Analyzing the Complex Problems and translate it into data science algorithms
  • Experience in machine learning, supervised and unsupervised and deep learning.
  • Hands on experience in Computer Visions and NLP.
  • Gen AI, Agentic AI
  • 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, HQL, Scala, Spark)
  • Hands on experience with Git
  • Experience with SQL and relational databases, data warehouse
  • Bachelors with > 7 years of experience / Master’s degree with > 5 years of experience.
  • Educational qualifications should be preferably in Computer Science/Mathematics/Statistics or a related area.
  • Experience should be relevant to the role.

Nice To Haves

  • Experience in ecommerce domain.
  • Experience in R and Julia
  • Demonstrated success in data science platforms like Kaggle.
  • 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.
  • 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.

Responsibilities

  • Drive data-derived insights across the wide range of retail divisions by developing advanced statistical models, machine learning algorithms and computational algorithms based on business initiatives
  • Direct the gathering of data, assessing data validity and synthesizing data into large analytics datasets to support project goals
  • Utilize big data analytics and advanced data science techniques to identify trends, patterns, and discrepancies in data.
  • Determine additional data needed to support insights
  • Build and train statistical models and machine learning algorithms for replication for future projects
  • Communicate recommendations to business partners and influencing future plans based on insights

Benefits

  • Incentive awards for performance
  • Maternity and parental leave
  • PTO
  • Health benefits
  • Medical coverage
  • Vision coverage
  • Dental coverage
  • 401(k)
  • Stock purchase
  • Company-paid life insurance
  • Paid time off (including sick leave)
  • Family care leave
  • Bereavement
  • Jury duty
  • Voting leave
  • Short-term disability
  • Long-term disability
  • Company discounts
  • Military Leave Pay
  • Adoption and surrogacy expense reimbursement
  • PTO and/or PPTO that can be used for vacation, sick leave, holidays, or other purposes
  • Walmart-paid education benefit program (Live better U) for full-time and part-time associates in Walmart and Sam's Club facilities. Programs range from high school completion to bachelor's degrees, including English Language Learning and short-form certificates. Tuition, books, and fees are completely paid for by Walmart. 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.
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