Senior Manager, Data Science
Snapdocs
·
Posted:
August 23, 2023
·
Hybrid
About the position
The job overview for this role is that Snapdocs is seeking a Senior Manager to lead their team of Data Scientists and Data Operations Specialists. The ideal candidate will have experience in managing a team through greenfield projects and building ML and AI models from scratch. They will be responsible for developing and executing a long-term Data Science strategy, integrating it into the company's Product Strategy and roadmap. The role requires expertise in aggregating and analyzing large datasets, as well as proficiency in programming languages such as SQL, Python, or R. Advanced degrees in quantitative fields are required, and empathy and collaboration are essential for success in this small team.
Responsibilities
- Lead a team of Data Scientists and Data Operations Specialists
- Support the team through hands-on work, planning, and prioritization
- Manage a team through greenfield projects and data analysis
- Build ML and AI models from the ground up
- Develop and execute a long-term Data Science strategy
- Integrate Data Science into Product Strategy and roadmap
- Promote data science best practices across the company
- Aggregate and analyze large datasets to identify behavior trends
- Use statistics and advanced data mining techniques
- Build data models to tackle real-world problems
- Experiment with diverse machine learning techniques
- Manage a team of data scientists
- Focus on people, process, velocity, and execution
- Utilize programming languages such as SQL, Python, or R
- Use Cloud Platforms, preferably AWS
- Hold advanced degrees in quantitative fields like Statistics, Computer Science, or Mathematics
- Demonstrate empathy and collaboration skills for success.
Requirements
- Senior Manager role leading a team of Data Scientists and Data Operations Specialists
- Comfortable with hands-on work, planning, and prioritization
- Experience managing a team through greenfield projects and building ML and AI models
- Ability to build, own, and execute a long-term Data Science strategy
- Collaboration with Engineering and Product Management teams to integrate Data Science into Product Strategy and roadmap
- Expertise in aggregating and analyzing large datasets using statistics and advanced data mining techniques
- Experience building data models to tackle real-world problems
- Proficiency in one or more programming languages including SQL, Python, or R
- Familiarity with Cloud Platforms, preferably AWS
- Advanced degrees in quantitative fields like Statistics, Computer Science, and Mathematics required (PhDs ideal)
- Strong empathy and collaboration skills
Benefits
- Excellent health, dental, and vision benefits
- 401(k) with up to 4% company match
- 16 weeks paid parental leave (regardless of gender)
- Flexible time off policy
- Flexible spending account for healthcare and dependent care
- Galileo, Modern Health, Urban Sitter, and Northstar Financial memberships
- Life and disability insurance