Senior Manager, Data Science

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 expertise in aggregating and analyzing large datasets, building data models, and implementing machine learning techniques. They will be responsible for developing and executing a long-term Data Science strategy, integrating it into the company's Product Strategy and roadmap. This is a hands-on role that requires proficiency in programming languages such as SQL, Python, or R, and experience with Cloud Platforms, preferably AWS. Advanced degrees in quantitative fields are required, and empathy and collaboration are essential for success in this small team.

• Lead a team of Data Scientists and Data Operations Specialists
• Provide hands-on work, planning, and prioritization to ensure team success
• Manage 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 to tackle real-world problems
• Build data models that contribute to engineering and product development
• Manage a team of data scientists and 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 in a small team environment

• Senior Manager position
• Lead a team of Data Scientists and Data Operations Specialists
• Hands-on work and planning and prioritization
• Comfortable wearing many hats
• Experience managing a team through greenfield projects
• Experience building ML and AI models from the ground up
• Build, own, and execute on a long-term Data Science strategy
• Work closely with Engineering & Product Management teams
• Promote data science best practices across the company
• 6+ years of expertise in aggregating and analyzing large datasets
• Identify behavior trends using statistics and advanced data mining techniques
• Build data models to tackle real-world problems
• Mastery of diverse machine learning techniques
• Experience managing a team of data scientists
• Skills in programming languages such as SQL, Python, or R
• Experience with Cloud Platforms, bonus points for AWS
• Advanced degrees in quantitative fields like Statistics, Computer Science, and Mathematics required (PhDs are ideal)
• Empathy and collaboration skills are vital for success
• Salary range: $204,000.00 to $276,000.00 for NY, CA, WA, or MA; $178,500.00 to $241,500.00 for other locations

• 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