Chamberlain
Sr. Manager, Data Science (Product & Engineering)
Oak Brook, IL · Senior
Sponsorship not specified$130k-$227kDetected 14 days ago
PythonAlgorithmsSQLDatabricksAzureMachine LearningData ScienceStatisticsAgileForecastingPerformance ManagementCommunicationCollaborationProblem SolvingMentoring
About the role
- Chamberlain Group (CG) is a global leader in intelligent access and Blackstone portfolio company.
- Powered by our myQ technology, we make access simple and secure for millions of homeowners, businesses, and communities worldwide.
- Our flagship brands, LiftMaster® and Chamberlain®, are found in 51+ million homes, and 14 million+ people rely on the myQ® app daily.
Responsibilities
- Build relationships with business leaders and truly understand their strategy, key initiatives, and KPIs for success such that you have shared ownership for reaching their goals.
- Lead, manage, and coach highly technical data scientists, including identifying, recruiting, and onboarding new talent.
- Drive development and execution of the data science methodology and practices strategy.
- Lead technical engagements with business unit and function stakeholders, as well as senior leaders.
- Work with various teams to drive the adoption of insights, models, and other output and the realization of incremental impact.
- Identify and manage the relationship with outside data science resources and vendors.
- Motivate and lead a high performance team by attracting, developing, engaging and retaining team members
- Drive the performance management and compensation processes by communicating job expectations, monitoring and evaluating performance, providing feedback and facilitating employee development per the company's policies
- Maintain transparent communication by appropriately communicating organization information to team through department meetings, one-on-one meetings, appropriate email, IM and regular interpersonal communications
Requirements
- Master's Degree in data science, statistics, mathematics, econometrics, engineering, or other quantitative field of study
- 8+ years of relevant work experience
- 2+ years directly managing data scientists
- Knowledge, Skills, and Abilities:
- Experience working with data science tools (e.g., Databricks)
Nice to have
- Doctorate degree in data science, statistics, mathematics, econometrics, engineering, or other quantitative field of study
- Experience leading end-to-end data science project implementations working with Agile methodologies
- Experience in analytical consulting roles
- This position is eligible for participation in a short-term incentive plan subject to the terms of the applicable plans and policies.
- Chamberlain Group wants all of its employees to succeed and encourages people of all backgrounds to apply.
- We're proud to be an Equal Opportunity Employer, and you'll be considered for this role regardless of race, color, religion, sex, national origin, age, sexual orientation, ancestry
- marital, disabled or veteran status.
- We're committed to fostering an environment where people of all lived experiences feel welcome.
Skills
- Expertise directing, developing, and applying machine learning algorithms
- Exceptional problem solving / analytical thinking skills
- Outstanding communication skills, teamwork and collaboration, and attention to detail
- Advanced expertise in Python, R, SQL
Compensation
- Drive the performance management and compensation processes by communicating job expectations, monitoring and evaluating performance, providing feedback and facilitating employee development per the company's policies
Benefits
- Comply with health and safety guidelines and rules; managers should also ensure compliance across their teams.
- Maintain professional and technical knowledge by attending educational workshops, reading professional publications, establishing personal networks, and participating in professional societies.
- Lead and motivate individuals and teams to create a workplace culture that is consistent with the CG mission, vision and values.
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This listing is sourced directly from Chamberlain's careers page and normalized into a canonical job model.