Sr. Manager, Data Science (Marketing)

The Chamberlain Group LLC; South Carolina; On-site; USD 129,700 - 226,900; Full time

Benefits offered by this job

Comprehensive benefits package

401(k) contribution

Short-term incentive plan

Job summary

The Chamberlain Group LLC is seeking an experienced leader for their data science team. The role focuses on building relationships with business leaders, managing a team of data scientists, and driving the development of advanced analytics solutions.

Ideal candidates will have a Master’s Degree in a quantitative field and over 8 years of relevant experience, including managerial experience in data science. The position offers a pay range of $129,700 to $226,900 and a robust benefits package.

Qualifications

• Master’s Degree in data science, statistics, or related field.
• 8+ years of relevant work experience.
• Expert knowledge of statistics and advanced analytical techniques.

Responsibilities

• Build relationships with business leaders.
• Lead and coach technical data scientists.
• Drive development of data science projects.

Skills

Statistics

Advanced analytics

Machine learning techniques

Python

R

SQL

Data manipulation

Analytical thinking

Education

Master’s Degree in data science or related field

Tools

Databricks

Azure

Job description

Overview

Chamberlain Group (CG) is a global leader in intelligent access and a 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 more than 14 million people rely on the myQ® app daily.

Essential Duties and Responsibilities

• Build relationships with business leaders and truly understand their strategy, key initiatives, and KPIs for success to share 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 outputs 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 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 disseminating organization information to the 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 consistent with the CG mission, vision, and values.

Minimum Qualifications

• Education/Certifications: Master’s Degree in data science, statistics, mathematics, econometrics, engineering, or another quantitative field of study.
• Experience: 8+ years of relevant work experience, including 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 for 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 in directing, developing, and applying machine learning algorithms.
• Exceptional problem‑solving and analytical thinking skills.
• Outstanding communication skills, teamwork and collaboration, and attention to detail.
• Advanced expertise in Python, R, and 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 another quantitative field of study.
• Experience leading end‑to‑end data science project implementations using Agile methodologies.
• Experience in analytical consulting roles.

Compensation and Benefits

Pay range: $129,700.00 – $226,900.00. Base pay may vary based on location, education, training, and experience. The position is eligible for a short‑term incentive plan and includes a comprehensive benefits package, 401(k) contribution (subject to eligibility), and additional benefits consistent with company policy.

Equal Opportunity Statement

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 will consider your application regardless of race, color, religion, sex, national origin, age, sexual orientation, ancestry, marital status, disability, or veteran status. Persons with disabilities who anticipate needing accommodations for any part of the application process may contact [e-mail].