Decision Scientist II

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 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. Plus much more! Our interview process typically involves 3 stages: Initial Call with the Recruiter Meet the Hiring Manager Skills Assessment with the team Our average process takes around 3-4 weeks but we will always work around your availability. You will have the chance to speak to our recruiter at various points during your process but if you do have any specific questions ahead of this please contact us. Be your authentic self - Retail Insight is committed to promoting equal opportunities in employment. All employees and any job applicants will receive equal treatment. We actively seek to create an environment where everyone feels respected, supported, and encouraged to contribute their best work. About Us We’re a unique blend of retail expertise built up from extensive industry experience; mathematical talent that builds and maintains sophisticated algorithms; and engineering skill that handles vast volumes of data regularly. We combine leading‑edge technology with cutting‑edge thinking, to help you tackle today’s mission‑critical operational challenges and maximize your retail potential. We focus on the factors that drive sales and profit performance, minimise waste and loss, and increase operational efficiency. The result: dynamic solutions that provide actionable insights and unparalleled time to value. Our values underpin everything we do at Retail Insight. They drive us, define us and shape our decision‑making. They’re also the reason the world’s largest retailers and CPGs find working with us so easy. #J-18808-Ljbffr Retail Insight