Note: The job is a remote job and is open to candidates in USA. Terminix, a member of the Rentokil family of companies, is seeking a Sr. Manager, Data Scientist to lead a team advancing marketing analytics capabilities. The role translates marketing challenges into data-driven solutions, oversees data science projects and models, and delivers insights that optimize campaign performance, customer understanding, and ROI.
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
- Executive Presence including excellent communication and presentation skills, written and verbal and ability to communicate at all levels within large organizations
- 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
- 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
- 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
- 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
Skills
- • 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
- • 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
- No sponsorship or OPT available
Benefits
- Benefits start day 1 for full-time colleagues with no waiting period.
- Multiple avenues to grow your career
- Training and development programs available
- Tuition reimbursement benefits for full-time colleagues
- Full-time colleagues are eligible to begin enrollment immediately upon hire with benefits starting on day 1
- 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
- A company mindset that prioritizes health, safety, and flexibility
- Performance incentives for many roles
Company Overview