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Data Scientist, Supply Chain Analytics

Location: Slough-UK, Chicago-US, or Newark-US

Salary: £45,000-£65,000

 

Mars Inc is undergoing a significant Digital Transformation journey. Our ability to solve the most wicked problems across Mars in a User Centric way through Data & Analytics are fundamental to our Digital Engine and our transformation. Significant early success in this journey, and the introduction of many critical foundational capabilities, means that we are looking to accelerate our ability to solve problems and ultimately drive value for Mars Inc. The opportunities are huge for Mars, and the opportunities for those working in this space are hugely exciting & rewarding. Connecting & deriving break-through insight from our Petcare data ecosystem (Veterinary, Vet Hospitals, DNA Services, Telemetry, etc), leveraging the new & rapidly growing world of external data to get closer to the customer & consumers than ever before, and unlocking efficiencies & automation in our Supply Chain and Quality operations are just some of our big focus areas.

The Data Scientist role is responsible for evangelizing the adoption of data driven decisions across Mars by leading the development of advanced analytical tools that utilize the vast amounts of data available to the company. These tools will be rooted in a strong statistical foundation and leverage cutting edge machine learning concepts to provide actionable insights for solving business problems or finding opportunities for profitable growth.

 

What are we looking for?

• Minimum 3 years of experience in an Applied Data Science role or equivalent, ideally within the CPG, Consumer Products, Retail, Telecom or Financial Services industries.
• Solid knowledge of, and experience with, modelling techniques such as Regression/GLM, Random Forest, Boosting, Deep Learning, text mining, social network analysis and concepts of significance testing.
• Hands-on experience using tools like Python (incl. tensorflow, pyTorch, Pandas), PySpark, Scala, R; experience querying databases (SQL, Hive) and working with big data platforms such as a Hadoop ecosystem and Apache Spark; knowledge of the Microsoft Azure Stack is an advantage.
• Experience with data visualization tools such as matplotlib, Seaborn, Tableau, Power BI, D3, ggplot, plotly.
• Experience with DevOps principles such as CI/CD, unit testing, and AGILE development.
• Experience using key external third-party data sources including Nielsen/ IRI/ Storeviews, Kantar, Homescan Panel, Shopper card, and/or other first party data and consumer surveys.
• Strong problem solving, communication, presentation, and stakeholder engagement skills.

 

 

What would be your key responsibilities?

• Solve complex business problems by implementing end-to-end ML capabilities: from data exploration, model training and validation to model persistence and deployment of productionized machine learning models
• Fundamentally change the way Mars does business by show-casing the “Art of the Possible” & through the establishment of innovative data science standards and methodologies:  developing scalable and sustainable solutions for diverse business segments; incorporating emerging technologies into data analysis processes and influencing the scope and direction of new projects.
• Conduct advanced statistical analyses of structured and unstructured datasets using a variety of modeling techniques, such as:  linear regression, time-series, classification, neural networks (incl. CNNs, RNNs), decision trees, gradient boosting, and others to deploy interpretable products that generate insights, increase efficiency and/or enhance quality.
• Understand complex business processes and combine your business acumen, problem solving skills, and curiosity to identify value-add opportunities for the applications of statistical analyses and Machine Learning.

 

What can you expect from Mars?

 

• An industry competitive salary and benefits package, including excellent pension.
• A company that understands the importance of a work-life balance.
• The chance to take hold of your own career and develop personally and professionally.

 

Closing date: 21/06/2021

 

To open up a dialogue, please click on the APPLY button below. We look forward to hearing from you!

 

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