Vice President, Data Science
System1 is looking for an experienced data science leader to join our team! As VP of Data Science, you will lead a talented team focused on building models that power our large scale marketing platform. System1 products touch 100s of millions of users per month and our platform processes 5B+ data points every day. If you would like to work in a dynamic environment with endless opportunities to leverage data and data science in creative ways, then you will love System1.
The ideal candidate will have experience leading distributed teams to research, build, train, test and deploy data science models. You should keep up with the latest academic research and developments. You should have experience with different approaches and best practices for integrating data science and engineering in a dynamic production environment. This role will work closely with product, engineering, experimentation, business and other key teams to ensure data and data science inform quantitative decisions across the System1 ecosystem.
The Role You Will Have
- Lead and grow System1’s talented Data Science team
- Develop new strategies for using data science throughout the System1 ecosystem to create value for customers and shareholders
- Work with analysts and engineers to implement automated decisioning systems at scale
- Supervise and guide data scientists performing R&D on new data science methods and putting successful models into production
- Provide leadership in statistical best practices as applied to machine learning
- Lead a critical function of the company into an exciting next phase of growth as a public company
What You Will Bring
- At least 5 years experience hiring, growing and mentoring high performing data science teams
- Expertise in diverse data science methods including statistical analysis, predictive analytics, supervised and unsupervised machine learning, etc.
- Deep experience with production data science solutions -- Python preferred
- Experience working with large scale data platforms that support BI, analytics, data science, and real-time applications
- Thorough knowledge of industry standard best practices around machine learning engineering (MLE) and productionizing data science models
- Experience with AWS, GCP and/or other cloud environments
- An advanced degree in a quantitative discipline such as mathematics, statistics, or computer science preferred
- Experience in publishing and/or advertising a plus
- Excellent communication skills required
What We Have To Offer
- Competitive PTO
- 11 Company Holidays
- Untracked sick time
- Medical, Dental, Vision coverage
- 401k w/match
- Professional development reimbursement
- Leadership & growth opportunities
- Commuter benefits