Data Science Manager – Marketing Measurement Science Team
| Company | General Motors |
|---|---|
| Location | Austin, TX, USA, Warren, MI, USA |
| Salary | $160200 – $258700 |
| Type | Full-Time |
| Degrees | Master’s, PhD |
| Experience Level | Senior, Expert or higher |
Requirements
- 7+ years of experience in Data Science in a corporate setting
- 2+ years of experience in leading teams that built media mix modeling and marketing measurement work
- Master’s Degree or Ph.D. in Data Science, Statistics, Computer Science, Analytics, Operations Research, Engineering, Economics, Applied Mathematics, Marketing, Physics, or other quantitative field
- Strong expertise in statistical modeling, machine learning and/or deep learning techniques, including one or more of the following analytical methodologies: media mix modeling, marketing incrementality measurement, propensity models, pricing, forecasting
- Proficiency in data science programming languages such as Python or R and MMM packages such as robyn, pymc-marketing, lightweightmmm or meridian
- Prior experience with Cloud platforms such as Databricks /Azure or AWS
- Experience with data visualization tools and techniques
- Proven track record of managing data science projects from concept to implementation, delivering impactful business outcomes
- Excellent communication and interpersonal skills, with ability to engage effectively with technical and non-technical stakeholders
- Strong business consulting skills; ability to evaluate the big picture and solve strategic business problems
- Demonstrated ability to lead, mentor, develop, and evaluate high-performing talent
Responsibilities
- Lead and manage a team of data scientists, providing guidance, coaching, and mentorship to ensure successful project delivery and professional growth
- Develop scalable marketing measurement solutions that speed time-to-delivery and have significant business value for our Marketing team
- Develop and oversee the execution of media mix models and marketing attribution from ideation to deployment, ensuring they meet quality, scope, and timeline objectives
- Collaborate across the Marketing Applied Sciences team, along with business stakeholders, to identify, frame, develop, and execute high-impact analytics projects successfully
- Stay up to date on industry trends and advancements in data science and AI/ML to drive innovation within the team
- Foster a culture of collaboration, experimentation, continuous learning, and knowledge sharing within the data science team and broader community
- Manage and allocate team resources effectively to support project needs and team growth
Preferred Qualifications
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No preferred qualifications provided.