Decision Scientist II

About The Role
Turn Data into Action with Retail Insight.

At Retail Insight (RI), we transform data into actionable strategies, empowering retailers and CPGs to make smarter decisions. Our cutting-edge algorithms and innovative retail execution products are trusted by many of the world’s leading companies to improve sales, profitability, and operational efficiency.

From tackling out-of-stocks and poor in-store execution to reducing waste, markdowns, and shrink, RI helps businesses unlock performance drivers through advanced analytics. Find out more about our journey here.

About the role:

Our Decision Science teams are focused on delivering immediate positive impact to our clients using the latest machine learning and data analytics techniques. We partner with a number of international clients in order to develop and implement our products. We are now looking for a talented Decision Scientist, you’ll be responsible for building Machine Learning models to support our products, and will include:

What you will do...

You will be responsible for designing our algorithms using relevant statistical and machine learning techniques
Define the quantitative elements of projects for internal R&D and external clients, predominantly success criteria
Contribute to the design, implementation, and testing of our products.
Communicating with varying levels of stakeholder in both technical and non-technical language
Have a continuous improvement mindset, with an eye for detail and pride in your work
Writing high-quality and well-documented code

Our ideal candidate...

You will have proven experience working on analytics projects within a STEM background
Pragmatic approach to deadlines, focusing on deliverables
Practical programming experience, ideally using Python, R, etc
Knowledge and experience of using Machine Learning, Data Science, and Statistical techniques
Experience presenting results and proposals to a cross-functional team
Familiarity with cloud computing tools, ideally Azure
Nice to haves...

Experience in a retail background would be beneficial
Keen on continuous technical development, data analytics trends and tools
Some of our extras...

We believe in flexibility, growth, and taking care of our people—both in and out of the office.

Compensation: The salary range for this role is $95,000 - $110,000 plus great benefits.
Hybrid & Flexible Working: Work from anywhere with 2 days in-office per week (typical), plus summer hours and extra days off for life’s big moments (including your birthday and wedding).
Generous Time Off: 26 days PTO (increasing with service), paid volunteer days, and full support for your wellbeing, including mental health resources.
Career & Learning: Access to a top-tier learning platform, career progression plans, and support to create your ideal home workspace.
Health & Financial Benefits: Comprehensive medical, dental, and vision coverage, plus a 6% matched retirement plan.
Personal Perks: Annual phone reimbursement, onsite gym access, and customizable benefits via our online platform.