Sr. Manager, Data Science (Product & Engineering)

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.

This hands-on role is responsible for working closely with business partners to identify opportunities where the application of innovative data science techniques and methods can dramatically advance Chamberlain Group’s business objectives. You will transform these priority opportunities into incremental business value by leading, managing, and coaching data scientists in the design, development, and deployment of solutions to support Chamberlain Group’s transformation and rapid growth. This high visibility role works directly with senior leaders and has a tangible impact on the business.

Essential Duties and 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.

• 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 output 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 should 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.

Supervision Exercised

• 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

• Lead and motivate individuals and teams to create a workplace culture that is consistent with the CG mission, vision and values.

Minimum Qualifications

Education/Certifications:

• Master's Degree in data science, statistics, mathematics, econometrics, engineering, or other quantitative field of study

Experience:

• 8+ years of relevant work experience; 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 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 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

• 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)

Preferred Qualifications

Education/Certifications:

• Doctorate degree in data science, statistics, mathematics, econometrics, engineering, or other quantitative field of study

Experience:

• Experience leading end-to-end data science project implementations working with Agile methodologies

• Experience in analytical consulting roles

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The pay range for this position is $129,700.00 - $226,900.00; base pay offered may vary depending on a number of factors including, but not limited to, the position offered, location, education, training, and/or experience. In addition to base pay, also offered is a comprehensive benefits package and 401k contribution (all benefits are subject to eligibility requirements). 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.  

Persons with disabilities who anticipate needing accommodations for any part of the application process may contact, in confidence [email protected].

NOTE: Staffing agencies, headhunters, recruiters, and/or placement agencies, please do not contact our hiring managers directly.