(USA) Senior, Data Scientist

About the role

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.

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

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
• Strong Experience with SQL and relational databases, data warehouse
• Bachelor’s degree in Statistics, Economics, Analytics, Mathematics, Computer Science, Information Technology, or related field and 3 years' experience in an analytics related field
• Master’s degree in Statistics, Economics, Analytics, Mathematics, Computer Science, Information Technology, or related field and 1 years' experience in an analytics related field
• 5 years' experience in an analytics or related field

Qualifications

• Data science, machine learning, optimization models
• Master’s degree 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)

Skills

• Data science
• Machine learning
• Python
• Hadoop
• SQL
• Big data analytics
• Computer Vision
• NLP

Benefits

• Annual or quarterly performance bonuses
• Stock options

Pay

The annual salary range for this position is $108,000.00 - $216,000.00 in Bellevue, WA and $90,000.00 - $180,000.00 in Bentonville, AR. Additional compensation includes annual or quarterly performance bonuses.

Schedule

Flexible, hybrid work schedule with primary in-office presence coupled with an optimal mix of virtual presence.