Sr. Data Scientist, Marketing

Rentokil • Chicago, IL

4d

About The Position

Benefits Start Day 1 for Full-Time Colleagues - No Waiting Period! For more information about our benefits, see below! 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." Must be US Citizen or Green Card Holder to Apply As a Senior Data Scientist, you will leverage your analytical and technical expertise to solve complex real-world business problems. Working closely with marketing stakeholders, you will drive organic growth and optimization through the development and deployment of advanced AI/ML solutions. This role covers the full data lifecycle—from collecting, cleaning, and interpreting data to building robust models. Beyond execution, you will serve as a thought leader in the marketing domain, proactively introducing innovative concepts and data-driven strategies to achieve our business goals.

Requirements

• Bachelors, Master’s or PhD in Computer Science, Statistics, Mathematics, or a related quantitative field
• 8+ years of relevant experience in data analysis, statistical modeling, and machine learning application.
• Advanced proficiency in Python or R , with expert-level knowledge of standard libraries (e.g., Pandas, NumPy, SciPy, Scikit-Learn in Python; dplyr, tidyr, ggplot2 in R).
• Deep understanding of statistical concepts , probability theory, and experimental design (A/B testing, hypothesis testing).
• Extensive experience with ML algorithms , including linear/logistic regression, classification, clustering, dimensionality reduction, and ensemble methods.
• Advanced SQL skills with a strong understanding of database architecture and complex query optimization.
• Proven ability to handle imperfect data , possessing strong analytical skills to clean, structure, and extract value from noisy or unstructured datasets.
• Data Visualization expertise using tools such as Matplotlib, Seaborn, Plotly, or Tableau to convey complex patterns simply.
• Excellent written and verbal communication , with a specific talent for translating technical findings into business implications for non-technical leadership.
• Collaborative mindset with the ability to work independently on complex tasks while coordinating with cross-functional teams.
• Growth mindset , demonstrating a continuous passion for learning new technologies in the rapidly evolving data science landscape.

Nice To Haves

• Hands-on experience with cloud platforms (AWS, Azure, GCP) and big data technologies (Spark, Hadoop, Databricks).
• Experience using version control (Git) in a team setting and deploying machine learning models into production environments (Docker, Kubernetes, CI/CD).
• Prior experience in, e.g., Digital Marketing, Subscription business or home services industry is highly desirable.

Responsibilities

• Independently lead the planning and execution of data science initiatives across multiple projects and functional areas.
• Mentor and coach junior team members on best practices in model architecture, coding standards, and testing methodologies.
• Evaluate and recommend new data sources, tools, and emerging technologies to keep the organization at the forefront of AI/ML innovation.
• Define project objectives by translating high-level business goals into concrete technical requirements in collaboration with stakeholders.
• Design, develop, and validate robust machine learning models (including Supervised, Unsupervised, Ensemble methods, and Time-series forecasting) to solve specific business problems.
• Apply advanced statistical techniques to perform classification, clustering, hypothesis testing, and predictive analysis.
• Conduct rigorous Exploratory Data Analysis (EDA) to identify hidden patterns, anomalies, and trends within large datasets.
• Drive experimentation (e.g., A/B testing) to measure the impact of model deployment and marketing strategies.
• Architect data pipelines for the collection, cleaning, and preprocessing of complex, high-volume datasets from disparate sources.
• Oversee the deployment lifecycle , ensuring models are successfully integrated into production environments and monitored for performance drift.
• Maintain engineering excellence by documenting code, methodologies, and results clearly, ensuring reproducibility and scalability.
• Transform complex data into clear, actionable insights for non-technical stakeholders using data visualizations, dashboards, and executive reports.
• Drive product innovation by contributing directly to the development of data-driven features and marketing optimization tools.
• Act as a bridge between technical and non-technical teams, ensuring data solutions align directly with marketing and organic growth KPIs.

Benefits

• Benefits Start Day 1 for Full-Time Colleagues - No Waiting Period!
• Professional and Personal Growth
• Multiple avenues to grow your career
• Training and development programs available
• Tuition Reimbursement benefits (for FT Colleagues)
• Health and Wellness
• 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
• Savings and Retirement
• 401(k) retirement plan with company-matching contributions
• Work-Life Balance
• Vacation days & sick days
• Company-paid holidays & floating holidays
• A company mindset that prioritizes health, safety, and flexibility

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level