Lead Econometrician

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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. 

We are seeking a highly skilled and visionary Lead Econometrician to join our team. This pivotal role will focus on developing, implementing, and refining econometric models to assess market demand, forecast revenue across diverse business units and markets, build a Marketing Mix Model (MMM), and ultimately build a driver impact model of internal and external factors. As a key contributor to our analytics team, you will provide data-driven insights that guide strategic decisions and optimize business performance. The Lead Econometrician will be the go-to expert for forecasting with a front seat to navigate our rapidly growing business and have a direct impact on our success.

Essential Duties and Responsibilities

• Econometric Modeling: Develop, refine, and maintain econometric models to forecast market demand and revenue, tailored to various business units and geographic markets.

• Marketing Mix Modeling: Design and implement a marketing mix model to evaluate the effectiveness and ROI of marketing investments across channels.

• Driver Impact Modeling: Design and implement models that explain variance due to external and internal factors to help isolate what is controllable vs. uncontrollable.

• Solution Development: Data gathering, cleansing, and integration, statistical transformation and modeling, and feature engineering and selection.

• Data Analysis: Analyze large, complex datasets to identify trends, patterns, and relationships that influence market dynamics and business outcomes.

• Collaboration: Partner with cross-functional teams, including marketing, finance, and product management, to ensure alignment between modeling insights and strategic objectives.

• Scenario Simulation: Create simulations to test the impact of market conditions, pricing strategies, and promotional activities on revenue and market demand.

• Optimization: Identify opportunities for efficiency and effectiveness in business operations by interpreting model outcomes and making actionable recommendations.

• Reporting and Communication: Present findings and recommendations to senior leadership and stakeholders in a clear and actionable manner.

• Develop deep understanding of internal and external data.

• Create appropriate standards and processes to ensure quality and consistency of Decision Intelligence Group solutions.

• Direct activities of third-party contractors and 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, 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.

Minimum Qualifications

Education/Certifications:

• Master’s or Ph.D. in Economics, Statistics, Applied Mathematics, or a related quantitative discipline.

Experience:

• 8+ years of relevant work experience

• At least 8 years of experience in econometric modeling and applied analytics.

• Demonstrated expertise in building demand and revenue forecasting models.

• Extensive experience with time-series analysis

• Experience in marketing mix modeling and attribution.

Knowledge, Skills, and Abilities:

• Proficient in statistical programming languages such as Python or R.

• Experience with data visualization tools such as Power BI or Tableau.

• Expert knowledge of econometric and statistical methods, including time series analysis, regression models, hypothesis testing, simulation, causal inference, and data aggregation.

• Ability to work with large and diverse datasets, leveraging SQL and other database tools.

• Excellent problem-solving and critical-thinking abilities.

• Strong verbal and written communication skills with the ability to translate complex analyses into actionable insights for non-technical stakeholders.

• Experience in manipulating, analyzing, and interpreting large-scale data

• Experience scaling analytics in the cloud (e.g., Azure, Databricks)

Preferred Qualifications

Experience:

• Familiarity with advanced machine learning techniques and their integration with econometric models.

• Experience with IOT, software-defined customer experiences, private equity backed companies

The pay range/rate of pay for this position is$97,700.00 - $184, 175.00; 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.

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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 Recruiting@Chamberlain.com.

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