Sr. Manager, Data Scientist, Marketing Analytics

About the role

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.

Responsibilities

• Team Leadership & Management: 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.
• Executive Presence: Excellent communication and presentation skills, written and verbal, ability to communicate at all levels within large organizations.
• Technical Execution & Innovation: Apply a strong understanding of statistical modeling, machine learning algorithms, and experimental design.
• 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.
• Hands-on experience deploying models from development through production in a modern data science stack.
• Champion the use of cutting-edge data science techniques to solve challenging marketing problems.
• Strategic Marketing Analytics & Insights: 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 (e.g., attribution modeling, customer lifetime value (CLTV), segmentation, propensity modeling, personalization algorithms, media mix modeling (MMM)).
• 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.
• Cross-Functional Collaboration & Communication: 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, leading a team of data scientists.

Qualifications

• 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 many of the following: Demand Forecasting, Segmentation, Testing, Predictive Customer Response, Price Optimization, Marketing Mix Modeling, Customer Journey Analytics, Next Best Product/Offer, Customer Elasticity (Market Response Modeling).
• 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.
• Excellent communication, presentation, and interpersonal skills, with the ability to influence stakeholders at all levels.
• Strong problem-solving abilities and a strategic mindset.

Skills

• 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.
• Excellent communication, presentation, and interpersonal skills, with the ability to influence stakeholders at all levels.
• Strong problem-solving abilities and a strategic mindset.

Benefits

Start Day 1 for Full-Time Colleagues - No Waiting Period! For more information about our benefits, see below!

Pay

Base Pay Range: $135,700 - $176,400 / year

Schedule

Full-Time