Senior Manager, Data Scientist, Marketing Analytics

About the position

We are seeking an experienced and highly motivated Sr. Manager, Data Scientist to lead a team of talented data scientists focused on advancing our marketing analytics capabilities. This role will be instrumental in translating complex marketing challenges into data-driven solutions, driving insights that optimize campaign performance, enhance customer understanding, and maximize ROI. The ideal candidate will possess a strong blend of technical expertise in data science, proven leadership abilities, and a deep understanding of marketing strategies and analytics.

Responsibilities

• Lead, mentor, and develop a team of 2-3 data scientists, fostering a collaborative and high-performing environment.
• Set clear goals, provide regular feedback, and conduct performance reviews for team members.
• Support the professional growth of team members through training, conferences, and challenging assignments.
• Collaborate with cross-functional teams to identify opportunities for leveraging data science to create business value.
• Manage competing priorities across multiple projects while ensuring adherence to timelines, budgets, and quality standards.
• Oversee the end-to-end lifecycle of data science projects, from ideation and prototyping to production and monitoring.
• Conduct rigorous reviews of statistical and optimization models to ensure they meet business needs, technical standards, and ethical guidelines.
• Apply a strong understanding of statistical modeling, machine learning algorithms, and experimental design.
• Oversee the end-to-end data science lifecycle, including data collection, cleaning, feature engineering, model development, validation, deployment, and monitoring.
• Ensure the integrity and accuracy of data used for analysis and modeling.
• Contribute to the development of scalable data pipelines and analytical infrastructure in collaboration with data engineering teams.
• Champion the use of cutting-edge data science techniques to solve challenging marketing problems.
• Partner closely with marketing leadership and stakeholders to understand business objectives and identify opportunities for data science to drive impact.
• Define and execute the roadmap for marketing analytics initiatives, aligning with overall business strategy.
• Lead the design, development, and implementation of advanced analytical models.
• Develop and implement A/B and multivariate testing frameworks and methodologies to measure the impact of marketing initiatives.
• Stay abreast of industry trends and emerging technologies in data science and marketing analytics.
• Collaborate effectively with cross-functional teams including Marketing, Product, Sales, IT, and Data Engineering.
• Translate complex analytical findings into clear, actionable insights and recommendations for marketing teams and senior leadership.
• Act as a subject matter expert in data science and marketing analytics within the organization.

Requirements

• Master’s or PhD in Data Science, Operations Research, Applied Mathematics, Computer Science, or a related field.
• 10+ years of progressive experience in data science, with at least 2-3 years in a leadership or management role.
• Extensive experience with ML predictive analytics, optimization algorithms, and large-scale data processing frameworks.
• Significant experience working in cross-functional teams and influencing stakeholders at all levels of the organization.
• Demonstrable experience with Demand Forecasting, Segmentation, Testing, Predictive Customer Response, Price Optimization, Marketing Mix Modeling, Customer Journey Analytics.

Nice-to-haves

• Expert proficiency in Python (NumPy, pandas, scikit-learn, TensorFlow/PyTorch) and/or R.
• Strong SQL skills for data extraction and manipulation.
• Experience with big data technologies (e.g., Spark, Hadoop) and cloud platforms (AWS, GCP, Azure).
• Solid understanding of statistical inference, experimental design, and causal analysis.
• Proven ability to build, deploy, and monitor machine learning models in production environments.

Benefits

• Benefits Start Day 1 for Full-Time Colleagues - No Waiting Period!
• Health benefits including Medical, Dental, Vision, Disability, and Life Insurance plus much more.
• 401(k) retirement plan with company-matching contributions.
• Vacation days & sick days.
• Company-paid holidays & floating holidays.
• Tuition Reimbursement benefits (for FT Colleagues).
• A company mindset that prioritizes health, safety, and flexibility.