Data Scientist, Marketing

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.

Responsibilities

• Aid in the collection, cleaning, and preprocessing of large and complex datasets from various sources.
• Conduct exploratory data analysis (EDA) to identify patterns, trends, and insights in the data.
• Apply statistical techniques and machine learning algorithms to build predictive models, perform classification, clustering, and other data analysis tasks.
• Develop and validate machine learning models (Supervised and Unsupervised), and other categories such as Ensemble Methods, and Time-series models.
• Collaborate with other data scientists and other team members to define project requirements and objectives.
• Communicate findings and insights effectively through visualizations, reports, and presentations.
• Stay up-to-date with the latest advancements in data science, machine learning, and related technologies.
• Document code, methodologies, and results clearly and concisely.
• Participate in the deployment and monitoring of data science models and solutions.
• Contribute to the development of data-driven products and features.
• Assist in the evaluation of new data sources and technologies.
• Independently plan and execute work across multiple projects, stakeholders, and functional areas.

Requirements

• Educational Background: Bachelor's or Master's degree in a quantitative field such as Data Science, Statistics, Mathematics, Computer Science, Engineering, Economics, or a related discipline.
• Relevant Experience: 3+ years of relevant experience in data analysis, statistical modeling, or machine learning.
• Statistical Concepts: Strong understanding of statistical concepts, probability theory, and experimental design.
• Machine Learning: Familiarity with machine learning algorithms (e.g., regression, classification, clustering, dimensionality reduction).
• Programming Skills: Proficiency in at least one programming language commonly used in data science (e.g., Python, R).
• Data Manipulation: Experience with data manipulation and analysis libraries (e.g., Pandas, NumPy, SciPy in Python; dplyr, tidyr in R).
• Data Visualization: Familiarity with data visualization libraries (e.g., Matplotlib, Seaborn, Plotly in Python; ggplot2 in R).
• Database Concepts: Basic understanding of database concepts and SQL.
• Problem-Solving Skills: Strong analytical and problem-solving skills with the ability to work with imperfect data.
• Communication: Excellent written and verbal communication skills, with the ability to explain technical concepts to non-technical audiences.
• Teamwork: Ability to work independently and collaboratively within a team environment.
• Desire to Learn: A strong desire to learn and grow in the field of data science.
• Cloud Computing: Experience with cloud computing platforms (e.g., AWS, Azure, GCP).
• Big Data Technologies: Familiarity with big data technologies (e.g., Spark, Hadoop).
• Version Control: Experience with version control systems (e.g., Git).
• Industry Domain Knowledge: Knowledge of specific industry domains relevant to the company.
• Model Deployment: Experience with deploying machine learning models into production.

Physical Demands and Working Conditions

The physical demands are representative of those that must be met by an employee to perform the essential functions to this job. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions. No sponsorship or OPT available.

Why Choose Us?

• Professional and Personal Growth: Multiple avenues to grow your career.
• Training and Development Programs: Available.
• Tuition Reimbursement: For Full-Time Colleagues.
• Health and Wellness: 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, and a company mindset that prioritizes health, safety, and flexibility.

Additional Information

• Drug-Free Workplace Policy.
• Equal Opportunity Employer.
• Compliance with Federal, State, and Local Laws.