Primary Function / Position Summary
We are seeking a hands‑on data scientist to join our Marketing Analytics team. This person will play a dual role: doing advanced analytical work that powers our team’s strategic output, and building the data science infrastructure our team needs to grow. On the analytics side, you will support senior team leads by developing ad hoc models, custom data visualizations, and the technical analyses that feed into client‑facing presentations. On the infrastructure side, you will help create and maintain a centralized code repository, standardize how our team accesses data across multiple platforms, and develop repeatable frameworks that make the team more efficient. This is a role for someone who loves working in code, wants to help build something from the ground up, and is energized by bringing order to complex, fragmented data environments—all in service of a Fortune 100 automotive client.
Major Responsibilities
- Advanced Analytics Execution: develop ad hoc statistical models, custom analyses, and exploratory data work to support senior team members in building strategic recommendations and client deliverables.
- Data Visualization & Presentation Support: create polished, custom data visualizations that go beyond standard dashboards—charts, graphics, and interactive outputs that help tell a compelling analytical story in client presentations.
- Code Repository & Knowledge Management: help create and maintain a GitHub repository for the marketing analytics team. Document queries, methodologies, and reusable code so the team can build on shared knowledge rather than starting from scratch.
- Data Access & Standardization: help organize how the team accesses data across disparate sources (Snowflake, Databricks, flat files, third‑party platforms, etc.). Contribute to building standardized connection templates, data dictionaries, and repeatable processes that support centralized analysis.
- Reporting Automation: transition manual, Excel‑based reporting workflows into automated, code‑driven processes using Python, R, and/or SQL.
- Data Quality: identify data definition and quality issues within the warehouse environment and help resolve them through code, collaborating with engineering teams as needed.
- Exploratory Analysis: conduct exploratory data analysis to answer business questions and generate actionable insights using Python or R.
- Measurement Support: work with internal teams to help ensure tracking needs are met and support the definition of business logic for marketing campaign measurement.
Knowledge and Skills
- Coding: strong proficiency in Python and/or R, and fluency in SQL.
- Database Environments: hands‑on experience working within Snowflake and/or Databricks.
- Version Control: experience with Git and GitHub.
- Data Visualization: ability to create custom, presentation‑quality visualizations using code (matplotlib, seaborn, Plotly, ggplot2) and/or PowerBI or Tableau.
- Statistics: solid foundation in statistics—exploratory data analysis, hypothesis testing, and experience with predictive modeling or machine learning techniques.
- Builder Mentality: excited by creating systems, processes, and infrastructure where none exist.
- Data Organization: experience with messy, fragmented data environments; can map disparate sources, identify gaps, and contribute to structure and standardization.
- Storytelling Support: understand how analytical outputs connect to a broader narrative; collaborate with senior team members to shape deliverables.
- Marketing Data: familiarity with CRM, website analytics, and platforms such as Adobe Analytics, Salesforce, PowerBI.
- Technical Autonomy: takes initiative to solve problems with minimal direction.
- Ability to Learn: willingness to pick up new tools, technologies, and methods quickly.
Minimum Qualifications
- Bachelor’s degree in Data Science, Computer Science, Statistics, Mathematics, Business Analytics, or related field.
- 3–5 years of experience in data science, data analytics, or a technical analytics role.
- Demonstrated proficiency writing production‑quality code in Python, R, and/or SQL.
- Experience with version control systems (Git/GitHub).
- Ability to work on-site in Detroit, MI or New York, NY.
- Automotive or marketing analytics background is a plus.
Salary and Benefits
Base salary range: $75,000—$180,000 USD.
We offer a competitive benefits package. The base salary is based on location, responsibilities, experience, and qualifications.
EEO Statement
WPP (Hudson Rouge) is an equal opportunity employer and considers applicants for all positions without discrimination or regard to characteristics. We are committed to fostering a culture of respect in which everyone feels they belong and has the same opportunities to progress in their careers.
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