Sr. Manager, Data Scientist, Marketing Analytics

Benefits Start Day 1 for Full‑Time Colleagues - No Waiting Period!

We are proud to be a member of the Rentokil family of companies, the global leader in Pest Control and other services across more than 90 countries. We pride ourselves on being a trusted partner to many of the world's leading brands and serve consumer and business customers across multiple industries. We are extremely proud of our legacy of excellence and constantly work to fulfill our mission to "protect people, enhance lives, and preserve the planet."

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.

• 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.
  • Demonstrate executive presence with excellent communication and presentation skills.
• Technical Execution & Innovation
  • 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.
• 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 such as attribution modeling, customer lifetime value (CLTV), segmentation, propensity modeling, personalization algorithms, and 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.

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…