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Senior Data Scientist

LOCATION: 

Slough, WBK, GB, SL1 4LG

JOB CATEGORY:  0
REQUISITION NUMBER:  182633

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This position will only be located in Slough, England (ISB) 

 

This is an exciting time at Mars. We’re using digital, data and user insights to transform our business by finding answers to problems that we’ve often never asked ourselves before. From joining the dots to improve our Petcare data ecosystem, to streamlining the efficiency and automation of our supply chain and quality operations, we’re already seeing some brilliant results. In fact, we’ve built so much momentum that we’re now looking for industry leaders in Business Translation, Data Science and Data Engineering with different and complementary skills to influence how we operate and grow beyond anything we’ve achieved before. Join us, and discover a company set up to develop your capabilities and ambitions and a group of colleagues ready to support and inspire you. Working together, we’ll create a better world for our plant, our communities and our pets.

 

What you’ll do

Inspiring the whole Mars business to adopt data driven decision-making by developing advanced analytics methods is huge in your role. How? By mining vast amounts of data from company databases for insights that will help solve business problems and ultimately make Mars more profitable.

Working in a small multidisciplinary team alongside the Global Analytics, Data Engineering, Business Translation and AI teams, you’ll partner with Product Owners to solve problems that real users face using advanced digital techniques. That also means closely collaborating with users from our segments and markets around the world to find the right problems to solve. More than that, you’ll use this direct user exposure to invent true ‘firsts’. That’s new and emerging approaches that Mars, and maybe even the industry, haven’t seen before. 

A big part of your role will be choosing the most appropriate technique, based on business need and available data, to develop custom data models and algorithms. As part of that, you’ll also create processes and tools to monitor and analyse model performance and data accuracy. All the time, balancing time to deliver with level of detail and accuracy.

Working with different functional teams, you’ll implement your models and monitor their outcomes – making sure we’re conforming to data security standards at all times. Thinking about the newest technology, you’ll make sure we’re maximising our efficiency and productivity and provide subject matter expertise across the business whenever it’s needed.

 

What you’ll need

To do all this, you’ll need:

  • Bachelor’s degree in Analytics or related quantitative fields (statistics, Operations research, mathematics, econometrics etc.). An advanced degree is preferred.
  • Extensive experience in applied data science role or equivalent. Ideally, it would be in CPG, Telecom or Financial services
  • Knowledge and experience in modelling techniques and advanced applied skills. For example significance testing, GLM/Regression, Random Forest, Boosting, Trees, text mining and social network analysis, using tools like Spark, Scala, SAS, R, Python, Bayesia, H2O, Storm, Yarn, and Kafka
  • Experience using key external third party data sources including Nielsen/ IRI/ Storeviews, Kantar, Homescan Panel, Retail Execution, Shopper card, first party data and consumer surveys
  • Experience querying databases (SQL, Hive) and working with big data platforms such as Hadoop ecosystem (Azure), including in-memory solutions (SAP HANA and Apache Spark)
  • Working knowledge of data visualization tools such as Tableau, Power BI, D3, ggplot, to deliver output to the broader business community to improve decision making and productivity
  • Strong communication and presentation skills

 

So, if you’ve got the skills we need and you’re looking for the opportunity to really make a mark in a world-renowned and supportive business going through a period of fast and massive digital transformation, this could be the role you’ve been waiting for.

 

#LI-SA1

 

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