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Terminix · 21 hours ago

Sr. Manager, Data Scientist, Marketing Analytics

Tennessee, United States

Full-time

Onsite

Senior Level, Lead/Staff

$136K/yr - $176K/yr

10+ years exp

Terminix is a member of the Rentokil family of companies, a global leader in Pest Control and other services. They are seeking a Sr. Manager, Data Scientist to lead a team focused on advancing marketing analytics capabilities, translating complex challenges into data-driven solutions, and driving insights to optimize campaign performance.

Building MaintenanceCommercialConsumerFacilities Support ServicesHome ServicesProfessional ServicesService Industry

No H1B

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

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

Qualification

PythonMachine LearningSQLStatistical ModelingBig Data TechnologiesCloud PlatformsLeadershipCommunication SkillsProblem-Solving

Required

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