Sr. Data Scientist, Marketing

Rentokil Pest Control • Chicago, IL

5d

About The Position

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