Lead Data Scientist (Hybrid)

If you are a current Chamberlain Group employee, please click here to apply through your Workday account.
Chamberlain Group is a global leader in access solutions with top brands, such as LiftMaster and 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 our myQ digital ecosystem.
This role is responsible for the design, development, and deployment of advanced analytics solutions supporting Chamberlain Group's strategic business priorities. The Lead Data Scientist will create and train statistical models and machine learning algorithms and provide insights, user-friendly tools, and capabilities to enable data-driven decisions by business stakeholders.
Essential Duties and Responsibilities

• Identify best analytical techniques to achieve Business Unit objectives; design, develop, and deploy advanced analytics solutions, including predictive and prescriptive outputs, analytical tools, and visualization capabilities to enable business users to make data-driven decisions
• Execute analytic activities supporting solution development, including data gathering, cleansing, and integration, statistical transformation and modeling, and feature engineering and selection
• Apply analytical techniques, including linear/non-linear models, clustering, optimization, forecasting, machine learning, and neural networks
• Collaborate with stakeholders and advanced analytics business partners to understand business needs and to identify and define advanced analytics solutions; effectively communicate results
• Develop innovative solutions through deep understanding of internal and external data
• Create appropriate standards and processes to ensure quality and consistency of Advanced Analytics solutions
• Direct activities of third-party contractors / consultants for specific business projects
• 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, 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

Minimum Qualifications
Education/Certifications:

• Bachelor's degree in statistics, mathematics, econometrics, engineering, or other quantitative field of study

Experience:

• 7+ years of relevant work experience

Knowledge, Skills, and Abilities:

• Expert knowledge of advanced statistics and machine learning methods, including regression, classification, time series analysis, network analysis, clustering, simulation, dimension reduction
• Proficient in using SQL and Python to process and analyze data and create data visualizations
• Proficient in using distributed computing tools (e.g., Databricks, Apache Spark)
• Experience in manipulating, analyzing, and interpreting large-scale data
• Experience scaling analytics in the cloud (e.g., Azure)
• Experience writing and speaking about technical concepts to technical and non-technical audiences
• Ability to effectively lead projects from conception to completion, both independently and in a team environment, with minimal guidance
• Keen analytical and problem-solving skills
• Excellent written and verbal communication skills
• Ability to deliver thought-provoking analysis and provide clear, concise recommendations

Preferred Qualifications
Education/Certifications:

• Master's degree or Ph.D. in statistics, mathematics, econometrics, engineering, or other quantitative field of study

Experience:

• Experience working with Agile methodologies
• Experience in data visualization tools (e.g., Qlik, Power BI)

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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.