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Principal Data Science Analyst

Operations | London, United Kingdom | Full Time

Job Description

Revionics has an immediate opening in our UK office on our Science Services team for a Principal Data Science Analyst. This individual will work in a fast-paced environment as part of multi-disciplinary project teams to deliver analytic services to retailers. The successful candidate will bring a balance of creative problem solving, hands-on data skills and practical analytic skills to the organization. Multi-lingual, preferably German, Russian or Spanish is highly desired. Experience in Retail Analytics or a related Analytic field is required. Strong communication and customer presentation skills also highly desired. This position may require up to 20-30% travel, mostly to EU sites.


What you’ll do:

  • Develop a solid understanding of Revionics’ core set of science services and of the science behind Revionics’ solutions.
  • Execute and deliver analytical services to customers by the deadline. Examples services include Data Model Validations, Key-Value Item identification, Pricing Strategy Analysis, Promotion Performance Analysis, Market Basket Analysis, Store Zone Clustering.
  • Perform forecast and demand model analysis, diagnostics and tuning using Revionics demand modeling science and tools
  • Work with Price Strategy Consultants, Project Managers, Systems Engineers, and Client Partners in the delivery of projects and services.
  • To extend and improve the science services using Python, SQL, and in-house software tools in collaboration with the Science Services and Development teams


What You Have and Can Do: 

  • Masters or Ph.D. in Operations Research, Econometrics, Statistics, Mathematics, Physical Sciences or equivalent
  • Self-motivated, driven and able to work successfully in a global, distributed environment
  • Familiarity with Analytics in Retail or a similar area (Supply Chain, financial, credit, etc.)
  • Strong quantitative, mathematical and analytic skills and ability to understand the use of statistical solutions to business problems
  • Strong problem-solving skills and ability to interpret analytic results and diagnose issues using structured, data-driven methods.
  • Strong data skills including experience with data validation and outlier identification methodologies
  • SQL and relational databases skills (MS SQL Server, Oracle, etc.) 
  • Excellent data visualization skills (Excel, Tableau, Bokeh, Cognos) and ability to present complex information to technical and non-technical audiences.
  • Excellent communication, presentation, and customer-facing skills
  • Experience with analytical software tools (Python/SciPy (preferred), R, Matlab, Alteryx, C#, etc.) 


What You Can Do to Stand Out: 

  • Experience in Retail or a similar industry (supply chain, financial, credit, etc.)
  • Fluency in German, Russian, Spanish or other European languages
  • Strong analytic scripting in Python/SciPy/NumPy
  • Strong experience with Visualization Business Intelligence applications (Tableau, Bokeh, etc.)


What's in your toolbox:

  • Familiarity with statistical regression and modeling techniques (least squares, maximum likelihood, Bayesian estimation.)
  • Familiarity with Classification and Clustering methods (K-means, Non-hierarchical, etc.)
  • Experience in software development languages tools (Python, C++, C#, Java)
  • Familiarity with data load and ETL / Automation tools (Informatica, etc.)


Who We Are:

Predictive. Prescriptive. Profitable Retailing.

We provide SaaS-based pricing, promotion, markdown and space solutions. Retailers in all segments across the world adopt our self-funding model to improve top-line sales, demand, and margin. Our customers gain that competitive edge and improve their value proposition while outmaneuvering competitor price aggressiveness.

During the days of first-generation price optimization solutions, at a time where science in retail was viewed as voodoo, our founder Jeff Smith nurtured the concept that there could be a better way. He went on to form Revionics around that new-generation vision, and to this day we remain committed to his goal:  To help retail businesses and everyday users solve complex pricing challenges leveraging the latest machine learning science with a completely transparent process, usable in an intuitive way that fits into retailers’ normal business flows.


Our company success is based on our 4 foundational pillars: 

  • A SaaS-based architecture for fast ROI
  • Productized, transparent science
  • Machine Learning algorithms that continue to evolve with changing market conditions and shopper behaviors for built-in future proofing
  • A supportive culture focusing on both our people and customers’ well-being.


Our Core Values:

  • Integrity: Be honest, dependable and complete
  • Transparency: Anticipate questions and give clear, usable answers.
  • Continuous Improvement:  Be relentless about improvement – for ourselves and our customers
  • Curiosity: Shine lights in dark corners; seek to ensure we know what we don’t know
  • Accountability: Own the problem and the solution
  • Dedication: Don’t stop until the numbers are right and systems are up
  • Humility: Put the spotlight on our customers, not ourselves