Lead Data Scientist

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 through the design, development, and deployment of solutions using statistical and machine learning methods to provide insight that 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. Identify and apply best analytical techniques to achieve business objectives. Design, develop, and deploy advanced analytics solutions, including predictive and prescriptive outputs, insights, and [... source excerpt omitted ...] g personal networks, and participating in professional societies. Contribute to the team effort by accomplishing related results and participating on projects as needed. Minimum Qualifications Education/Certifications: Master’s degree in data science, statistics, mathematics, econometrics, engineering, or other quantitative field of study Experience: 5+ years of relevant work experience Knowledge, Skills, and Abilities: Expert knowledge of statistics and machine learning methods, including regression, classification, time series analysis, clustering, simulation, dimension reduction Demonstrated aptitude distilling complex business problems into clear data science and advanced [... source excerpt omitted ...] scaling analytics in the cloud (e.g., Azure) Proven track record of leading projects and cross-functional teams Strong problem-solving and analytical thinking skills Preferred Qualifications Education/Certifications: Doctorate in data science, statistics, mathematics, econometrics, engineering, or other quantitative field of study Experience: Experience working with Agile methodologies Experience using data visualization tools (e.g., Power BI) Experience with IOT, software-defined customer experiences, private equity backed companies #LI-JM2 #LI-Hybrid The pay range for this position is $102,600.00 - $193,425.00; base pay offered may vary depending on a number of factors i