Rentokil Réunion - Les experts de la lutte contre les nuisibles partout à la Réunion · 1 day ago
Sr. Data Scientist, Marketing
Chicago, IL
Part-time
Onsite
Senior Level, Lead/Staff
$0/yr - $0/yr
8+ years expRentokil is a global leader in Pest Control and services, seeking a Senior Data Scientist to leverage analytical expertise to solve complex business problems. The role involves collaborating with marketing stakeholders to drive growth through advanced AI/ML solutions, covering the full data lifecycle from data collection to model deployment.
Business Supplies & Equipment
No H1B
U.S. Citizen Only
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
Qualification
Required
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
Must be US Citizen or Green Card Holder to Apply
Preferred
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
Benefits
Benefits Start Day 1 for Full-Time Colleagues - No Waiting Period!
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
Multiple avenues to grow your career
Training and development programs available
Tuition Reimbursement benefits (for FT Colleagues)
Company
Rentokil Réunion - Les experts de la lutte contre les nuisibles partout à la Réunion
Rentokil Réunion : L'expertise mondiale, la proximité locale (Depuis 2003) Rentokil est le leader mondial de la lutte contre les nuisibles depuis 80 ans.
11-50 employees
Funding
Current Stage
Early StageCompany data provided by crunchbase