Senior, Data Scientist

Immigration Sponsorship support will NOT be available for this position

Join Marketplace Tech to 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 build 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.

• Drive data‑derived insights across the retail divisions by developing advanced statistical models, machine learning algorithms, and computational methods based on business initiatives.
• Direct the gathering of data, assess data validity, and synthesize 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 in future projects.
• Communicate recommendations to business partners and influence future plans based on insights.

• Strong foundation in machine learning and statistics.
• Experience translating complex problems into data science algorithms.
• Experience with supervised, unsupervised, and deep learning.
• Hands‑on experience with computer vision and NLP (including Gen AI and agentic AI).
• Experience with big‑data analytics, identifying trends, patterns, and outliers in large volumes of data.
• Expertise in Python, including data structures.
• Experience with big‑data platforms (Hadoop, Hive, Pig, Map Reduce, HQL, Scala, Spark).
• Hands‑on experience with Git.
• Proficiency in SQL and relational databases, data warehouse.
• Bachelor’s degree with >7 years of experience, or Master’s with >5 years (preferably in Computer Science, Mathematics, Statistics or related field).

• Experience in e‑commerce domain.
• Experience with R and Julia.
• Demonstrated success on data science platforms such as Kaggle.

Equal Opportunity Employer
:
Walmart, Inc. is an Equal Opportunity Employer – By Choice. We believe our success requires diverse teams and inclusive workplaces.