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Junior Data Scientist

Wpromote

$88,000 - $100,000
Dec 3, 2025
Remote, US
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Wpromote is looking to hire a Junior Data Scientist to support data processing, model updates, and analytics reporting, ultimately turning data into meaningful insights for clients in e-commerce, retail, and entertainment.

Requirements

  • Intermediate programming skills in R or Python for data cleaning, data modeling, pipeline development, API calls, and related tasks
  • Experience with statistical modeling, machine learning techniques, and LLMs
  • Intermediate SQL skills, including window functions, stored procedures, views, triggers, unions, CTEs, subqueries, and debugging
  • Advanced proficiency in Excel and/or Google Sheets
  • Experience with at least one BI platform (Looker, Tableau, Power BI, etc.) with the ability to learn others; Looker preferred
  • Experience or familiarity with version control tools such as Git or Bitbucket
  • Intermediate to advanced competency in statistics, probability, and linear algebra

Responsibilities

  • Learning to transform, improve, and integrate data according to business requirements
  • Planning and scoping end-to-end data analysis projects by identifying the business problem and selecting appropriate investigative tests and solutions
  • Using SQL and BigQuery to combine and prepare datasets from multiple sources
  • Delivering data in a clear, useful, and visually appealing way to both technical and non-technical audiences
  • Maintaining existing media-mix models through directed retrains and reporting on performance changes
  • Organizing and collecting results from media-mix models, incrementality tests, clean rooms, and related analyses to support Wpromote’s culture of learning
  • Conducting guided marketing analyses to support client and internal needs

Other

  • Strong math, logic, and communication skills
  • Detail-oriented, eager to learn, and ready to turn data into meaningful insights
  • Strong organizational skills with the ability to balance competing client requests and work with complex datasets while maintaining accuracy and meeting deadlines
  • Strong communication skills, including experience creating and delivering presentations and executive summaries
  • Demonstrated critical thinking skills—the ability to analyze numbers, trends, and data to form meaningful insights