Sr. Manager, Data Science; Marketing

Overview

Chamberlain Group (CG) is a global leader in intelligent access and a 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, Lift Master® and Chamberlain®, are found in 51+ million homes, and more than 14 million people rely on the myQ® app daily.

• Build relationships with business leaders and truly understand their strategy, key initiatives, and KPIs for success to share 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.
• Be a catalyst for advanced analytics and data science across Chamberlain Group.
• Educate business users on advanced analytical concepts.
• Work with various teams to drive the adoption of insights, models, and other outputs and the realization of incremental impact.
• Identify and apply innovative analytical techniques to achieve business objectives.
• Lead and directly engage in the design, development, and deployment of advanced analytics models and solutions, including predictive and prescriptive outputs, to enable business partners to make better data‑driven decisions.
• Identify and manage the relationship with outside data science resources and vendors.
• Comply with health and safety guidelines and rules; managers also ensure compliance across their teams.
• Protect Chamberlain Group’s reputation by keeping information confidential.
• Maintain professional and technical knowledge by attending educational workshops, reading professional publications, establishing personal networks, and participating in professional societies.
• Contribute to the team effort by accomplishing related results and participating on projects as needed.

• 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 disseminating organization information to the team through department meetings, one‑on‑one meetings, appropriate email, IM, and regular interpersonal communications.
• Lead and motivate individuals and teams to create a workplace culture consistent with the CG mission, vision, and values.

• Education/
  
  Certifications:
  
  Master’s Degree in data science, statistics, mathematics, econometrics, engineering, or another quantitative field of study.
• Experience:
  
  8+ years of relevant work experience, including 2+ years directly managing data scientists.
• Knowledge, Skills, and Abilities:
  Expert knowledge of statistics and advanced analytical and machine learning techniques, including forecasting, predictive modeling, network and cluster analysis.
• Demonstrated aptitude for distilling complex business problems into clear data science and advanced analytics models and solutions that can and will be adopted and implemented.
• Ability to drive teams to success; ability to drive change and influence peers, leaders, collaborators, and individual contributors.
• Expertise in directing, developing, and applying machine learning algorithms.
• Exceptional problem‑solving and analytical thinking skills.
• Outstanding communication skills, teamwork and collaboration, and attention to detail.
• Advanced expertise in Python, R, and SQL.
• Experience working with data science tools (e.g., Databricks); distributed compute; manipulating, analyzing, and interpreting large‑scale data; and scaling analytics in the cloud (e.g., Azure).

• Education/
  
  Certifications:
  
  Doctorate degree in data science, statistics, mathematics, econometrics, engineering, or another quantitative field of study.
• Experience leading end‑to‑end data science project…