The Chamberlain Group

As a leader in the Smart Home industry, we boast one of the largest IoT install bases, with innovative products consisting of cameras, locks, card readers, garage door openers, gates and more, all powered by ourmyQdigital ecosystem.. Master's Degree in data science, statistics, mathematics, econometrics, engineering, or other quantitative field of study. 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). Doctorate degree in data science, statistics, mathematics, econometrics, engineering, or other quantitative field of study

data scientist

Chamberlain Group is a global leader in access solutions with top brands, such asLiftMasterand Chamberlain,found in millions of homes, businesses, and communities worldwide.
As a leader in the Smart Home industry, we boast one of the largest IoT install bases, with innovative products consisting of cameras, locks, card readers, garage door openers, gates and more, all powered by ourmyQdigital ecosystem.
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 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) Other:
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 #LI-JM2
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 live d experiences feel welcome.
Persons with disabilities who anticipate needing accommodations for any part of the application process may contact, in confidence . NOTE: Staffing agencies, headhunters, recruiters, and/or placement agencies, please do not contact our hiring managers directly. #J-18808-Ljbffr

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