Hiring: Sr. Manager, Data Scientist, Marketing Analytics Company: Terminix Location: Tennessee, United States Job Posted Time: 2026-09-03 11:10:04 Employment Type: Full-time Target Skills & Keywords : AWS, Azure, Data Pipeline, GCP, Hadoop, Machine Learning, NumPy, Pandas, Pest, PyTorch, Python, SQL, Spark, TensorFlow, Workday, scikit-learn About the job Experience: •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. •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), Skills & Competencies •Expert proficiency in Python (NumPy, pandas, scikit-learn, TensorFlow/PyTorch) and/or R. Required Skills: •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. •Actively facilitate and support professional growth of team members through training, conferences, and challenging assignments. •Partner cross-functionally 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. Qualifications: •Master’s or PhD in Data Science, Operations Research, Applied Mathematics, Computer Science, or a related field. Compensation: •$135,700 - $176,400 / year •Flexible work environment (work from home / hybrid options) •Health benefits including Medical, Dental, Vision, Disability, and Life Insurance plus much more Interested candidates, please apply directly through the job posting on company's career page or try via AI auto apply on this platform. Don't miss this opportunity to join a forward-thinking team!