Manager, Data Science

As Manager, Data Science, you will lead our data science function, building predictive models and delivering strategic insights that drive business decisions across Marketing, Operations, and Executive leadership. Your primary focus will be transforming our rich data (Salesforce, Snowflake, call center platforms) into actionable intelligence—lead scoring, conversion forecasting, marketing attribution, call center performance optimization as some examples. You will manage a small team, collaborate with Marketing's Intelligence Director on shared priorities, and operate with significant autonomy to define our analytics roadmap.

1. Build and deploy predictive models that drive business decisions: lead scoring, conversion forecasting, marketing attribution, fraud detection, capacity planning
2. Manage and mentor a team of 2 direct reports (Senior Data Analyst and Data Analyst). Develop team capabilities and match work to strengths.
3. Partner with Marketing Intelligence Director (Marketing org) on shared analytical priorities to maintain one version of truth while respecting organizational swim lanes
4. Present strategic insights and recommendations to executive leadership monthly, demonstrating measurable business impact (conversion improvement, ROI optimization, cost savings)
5. Define and own the analytics roadmap—identify what questions the business should be answering and proactively surface insights, not just respond to requests
6. Collaborate with Data Engineering team to prioritize data quality improvements, ETL enhancements, and infrastructure needs
7. Establish standardized metrics and methodologies across the organization. Participate actively in Data Governance Council to resolve cross-functional conflicts
8. Operate with autonomy in defining priorities, methodology, and stakeholder engagement while reporting to Director of Data Operations & Analytics
9. Other duties as assigned

Education: Bachelor's degree in Data Science, Statistics, Computer Science, Mathematics, or related quantitative field required. Master's degree preferred or equivalent combination of education and experience.

Work Experience: Minimum of 5-8 years of data science or analytics experience with increasing responsibility. At least 2 years leading analytical initiatives or managing/mentoring analysts or data scientists.

Skills Needed: Expert-level proficiency in SQL, Python, or R, and cloud data platforms (Snowflake preferred). Proven ability to build predictive models (regression, classification, time series) that influenced business strategy. Strong stakeholder management and executive communication skills. Experience in marketing analytics (attribution, ROI), call center operations, or lead-generation business models is strongly preferred.

Licenses or Certification: Not required, but relevant certifications (AWS Certified Machine Learning, Google Professional Data Engineer, or similar) are a plus.

Physical Requirements

Standing, walking, sitting, repetitive movements and use of mechanical controls, such as a keyboard, are frequently required.