We Turn Challengers Into Champions

Junior Data Scientist

Data ScientistData ScientistFull TimeRemoteTeam 201-500Since 2001H1B No SponsorCompany Site LinkedIn

Location

United States

Posted

99 days ago

Salary

$88K - $100K / year

Associate DegreeExperience acceptedEnglishBig QueryPythonSQLTableau

Job Description

• 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

Job 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
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.)