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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.
Duties & Responsibilities
Technical Leadership & Strategy
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.
Advanced Modeling & Analytics
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.
Data Engineering & MLOps
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.
Communication & Business Impact
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.
Candidate Requirements
Education
Bachelors, Master’s or PhD in Computer Science, Statistics, Mathematics, or a related quantitative field
Experience
Skills & Competencies
Technical Mastery
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.
Data Intelligence & Strategy
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.
Communication & Collaboration
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.
Additional Qualifications
Cloud & Big Data: Hands-on experience with cloud platforms (AWS, Azure, GCP) and big data technologies (Spark, Hadoop, Databricks).
MLOps & Engineering: Experience using version control (Git) in a team setting and deploying machine learning models into production environments (Docker, Kubernetes, CI/CD).
Domain Knowledge: Prior experience in, e.g., Digital Marketing, Subscription business or home services industry is highly desirable.
Base Pay Range
: $0.00 - $0.00
While starting pay falls within the given range, it can vary based on factors like geographic location, skills, education, and experience. Total earnings may also be affected by overtime, incentives, commissions, performance, and route assignment (where applicable).
Why Choose Us?
A career with the Rentokil family of companies can be a professional trajectory filled with opportunity. We pride ourselves on being a world-class team that rewards high performance, and we love to promote from within. We offer competitive pay and many of our roles offer performance incentives.
Below you'll find information about some of what we have to offer. All Full-Time Colleagues qualify for the following and Part-Time Colleagues qualify for most benefits after they meet certain criteria.
Click here to read more about our Total Rewards Program which includes:
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
Work-Life Balance
Vacation days & sick days
Company-paid holidays & floating holidays
A company mindset that prioritizes health, safety, and flexibility
We are looking for individuals who want to make a difference where our customers live and work. Is that you?
This company is a Drug Free workplace.
Rentokil is committed to complying with all Federal, State, and local laws related to the employment of qualified individuals with disabilities.
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It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability.
By applying to this job, you agree to receive initial texts from systems used on behalf of Rentokil North America, Inc., possibly including Workday, Loop, and HireVue. These systems utilize text messages to communicate with you throughout the application, interview, and pre-hire processes. You can set your communication preferences or opt out of text messages from each system at any time following the initial message. Message and data rates may apply.
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