Senior Data Scientist
Mars
Slough, WBK, GB
6d ago

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 planet, our communities and our pets.

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

Senior Data Scientist - T3

What you’ll do

Inspiring the whole Mars business to adopt data driven decision-making by developing advanced analytics methods using Machine Learning / AI 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, Big 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.

Your day-to-day activities will include, but not be limited to, the following :

  • Changing the way Mars does business through the establishment of innovative data science standards and methodologies : developing scalable solutions for diverse business segments;
  • incorporate emerging technologies into the data analysis process; and influencing the scope and direction of projects

  • Leveraging various ML algorithms and capabilities to provide innovative solutions that positively impact your stakeholder’s operations
  • Analyzing data sets to determine the best end-to-end machine learning techniques to create solutions for solving complex business issues
  • Drawing insights and presenting results in a cohesive, intuitive and simplistic manner for both technical and non-technical end users
  • Performing model training, validation / evaluation, persistence and deployment of productionized machine learning models
  • Integrating and mining large datasets from disparate sources to identify new insights and patterns that can predict the success of innovative solutions to business issues
  • Conducting advanced statistical analyses of structured and unstructured datasets using a variety of modeling techniques, such as : linear regression, time-
  • series, classification, neural network and decision tree models, CNN and RNN, gradient boosting and others; producing recommender system, customer segmentation & targeting, propensity modeling, churn modeling, lifetime value estimation, forecasting and others

    What you’ll need

    To do all this, you’ll need :

  • Minimum 7 years of experience in an Applied Data Science role or equivalent, ideally within the CPG, Consumer Products, Retail, Telecom or Financial Services industries
  • Solid data conceptualization experience for the delivery of insightful, actionable analyses
  • Expert knowledge of and experience with modelling techniques such as significance testing; GLM / Regression; Random Forest;
  • Boosting; Trees; text mining and social network analysis

  • Extensive hands-on experience using tools like Spark, Scala, R, Python, Bayesian, H2O, Storm, Yarn, and Kafka; experience querying databases (SQL, Hive) and working with big data platforms such as a Hadoop ecosystem (Azure) and Apache Spark
  • Knowledge of data visualization tools such as Tableau, Power BI, D3, ggplot to improve decision making and productivity
  • Experience validating and deployment of model and analytical techniques to determine trends and significant data relationships
  • 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
  • Strong communication and presentation skills
  • Bachelor’s degree in Analytics or related quantitative fields (Statistics, Operations Research, Mathematics, Econometrics etc.
  • An advanced degree is preferred

    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.

    Nearest Major Market : West Berkshire

    Job Segment : Data Science, Decision Science, Machine Learning, And Artificial Intelligence

    LI-SA1

    Mars is an equal opportunity employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability status, protected veteran status, or any other characteristic protected by law.

    If you need assistance or an accommodation during the application process because of a disability, it is available upon request.

    The company is pleased to provide such assistance, and no applicant will be penalized as a result of such a request.

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