Sr. Manager, Data Science (Product & Engineering)
Core
Lead, manage, and coach data scientists to design, develop, and deploy advanced analytics models and solutions that drive business objectives for Chamberlain Group's intelligent access products.
Role type
Senior Manager, Data Science (Product & Engineering)
Builds
Predictive and prescriptive analytics models and solutions for smart home access systems
Domain
Smart home / Intelligent access / IoT
Deliverable
production ML models
Required skills
Statistics, advanced analytical and machine learning techniques, forecasting, predictive modeling, network and cluster analysis, machine learning algorithms, Python, R, SQL, Databricks, distributed compute, cloud scaling (Azure)
Preferred skills
Doctorate in quantitative field, end-to-end data science project implementation, Agile methodologies, analytical consulting
Technologies
Databricks, Azure
Responsibilities
Build relationships with business leaders to understand strategy and KPIs; Lead, manage, and coach highly technical data scientists including recruiting and onboarding; Drive development and execution of data science methodology and practices strategy; Lead technical engagements with business unit and function stakeholders; Identify and apply innovative analytical techniques to achieve business objectives; Educate business users on advanced analytical concepts; Work with various teams to drive the adoption of insights, models, and other output; Identify and manage the relationship with outside data science resources and vendors.
Seniority
Senior, hands-on IC with management responsibilities