Data Scientist, Pricing Analytics

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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."

Overview

We are seeking a Data Scientist, Pricing Analytics to serve as a technical leader within our pricing analytics function. This role will be pivotal in advancing our analytical capabilities through the development of sophisticated models and the generation of data-driven insights for our residential and commercial pest control business. Working closely with stakeholders in Marketing Analytics, IT, enterprise data, and the broader Pricing Analytics team, this individual will develop and leverage advanced analytics and data science to enhance automation, segmentation, and our test-and-learn capabilities. The ideal candidate will possess deep technical expertise in data science, strong business acumen, and a proactive approach to problem-solving.

Duties & Responsibilities

• Develop and deploy advanced analytical models, including competitive analysis, customer segmentation, and price elasticity, to identify pricing opportunities and risks.

• Partner with stakeholders in Marketing Analytics, IT, and enterprise data functions to design, build, and implement scalable data and analytics solutions.

• Leverage advanced analytics and data science to build and enhance automation, segmentation, and test-and-learn capabilities.

• Collaborate with pricing analysts to understand data requirements and deliver effective, automated technical solutions.

• Act as a technical lead and mentor to analysts on the pricing team, providing guidance on data science best practices and advanced analytical techniques.

• Contribute to the analytical design for new products, packaging, promotions, and expansion initiatives.

• Support the development of analytical tools for discount controls, margin leakage analysis, and sales enablement to improve price realization.

• Assist in overseeing pricing governance from an analytical perspective, including the development of testing protocols and performance measurement frameworks.

Education

• Bachelor’s degree in Computer Science, Engineering, Statistics, Economics, or a related technical field required.

Experience

• Experience in a recurring revenue business is required; experience in pest control, home services, or a similar subscription-based industry is a strong plus.

• Demonstrated success in developing and deploying analytical models and data science solutions in a collaborative, matrixed organization.

Skills & Competencies

• Strong analytical and statistical skills with proficiency in SQL, ETL processes, data modeling, and data warehousing concepts.

• Expertise in a general-purpose programming language (e.g., Python) for data manipulation, modeling, and automation is required.

• Proficiency in marketing and pricing concepts and experience with business intelligence platforms (e.g., Power BI, Tableau).

• Deadline driven self-starter with exceptional project management skills.

No sponsorship or OPT available

Base Pay Range $92,700 - $120,500/year

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).

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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