Junior Data Scientist
@ WpromoteJunior Data Scientist
This job is still taking applications, but it's been up a while.
About the job
Wpromote is a leading digital marketing agency specializing in driving growth through data-driven strategies for clients in e-commerce, retail, and entertainment. The role involves supporting data processing, modeling, and reporting while learning advanced techniques in a collaborative remote setting.
Requirements
- Intermediate programming in R or Python
- SQL skills with window functions
- Experience with statistical modeling
- Proficiency in Excel/Google Sheets
- Experience with BI platforms
Qualifications
- Associate’s degree or equivalent
- Strong organizational skills
- Interest in marketing analytics
- Good communication skills
- Familiarity with version control
Full job description
You Will Be
- 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
You Must Have
- 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
- Bachelor’s degree or higher in a quantitative field
- Exposure to marketing analyses such as media-mix models (MMM), incrementality testing, CAC, and lead scoring
- Experience with analytics software, such as Google Analytics and Adobe Analytics
- Familiarity with clean room environments (FBAA, AMC, Google ADH)
- Experience with cloud computing (AWS, GCP, Azure, etc.)
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