Junior Data Scientist, Wpromote

• 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
• Strong organizational skills with the ability to balance competing client requests and work with complex datasets while maintaining accuracy and meeting deadlines
• Intermediate to advanced competency in statistics, probability, and linear algebra
• 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
• Interest or passion for marketing analytics and/or a personal project portfolio
• Associate’s degree, bootcamp certification, or practical work experience in a quantitative field (Statistics, Mathematics, Computer Science, Information Technology, Economics, Engineering, etc.)
• Nice To Have

Desirable

• Wpromote is hiring a Junior Data Scientist who loves solving problems with data and has strong math, logic, and communication skills
• In this role, you’ll support data processing, model updates, and analytics reporting while learning advanced techniques that will grow your impact over time
• You’ll collaborate with teams across Engineering, Reporting, Product, Paid Media, and Data Science, working with exciting clients in e-commerce, retail, and entertainment
• If you’re detail-oriented, eager to learn, and ready to turn data into meaningful insights, we want to hear from you!
• 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
• Supporting presentations through data pulls, ad-hoc analyses, and slide creation
• Learning to automate data gathering, blending, and transformation processes
• Collaborating across Engineering, Reporting, Product, Paid Media, and Data Science teams to understand and support client needs