Data Science Manager

1 week ago

Austin, Texas, United States Chevrolet Full time
About the Role

The Data Science Manager in Marketing Applied Sciences will lead a talented team of data scientists who will drive solution design, development, and deployment of statistical and AI/ML models to solve complex business problems and improve decision making.

Key Responsibilities
  • Lead and manage a team of data scientists, providing guidance, coaching, and mentorship to ensure successful project delivery and professional growth
  • Develop scalable data science solutions that speed time-to-delivery and have significant business value for our Marketing team
  • 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
Requirements
  • 7+ years of experience in Data Science in a corporate setting
  • 2+ years of experience successfully leading data science technical teams or 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: experimentation, personalization/recommendation systems, propensity models, pricing, forecasting, anomaly detection
  • Proficiency in data science programming languages such as Python or R and data science packages such as numpy, pandas, and TensorFlow
  • 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

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