Mars UK • United States of America

ODDA Data Scientist Analyst

Employment type:  Full time

3–4 days/week at home

Core hours 11–3

Dog friendly

Job Description

Job Description:

Mars Wrigley Inc. is looking to continue to accelerate its data and analytics journey across the demand spectrum. The One Demand Data & Analytics (ODDA) team is a very entrepreneurial and new division set up to drive innovation and positive disruption within Mars Wrigley leveraging machine learning and AI. The Data scientist analyst profile is a key role needed for our continued journey and success. This is a cross market global role and you will be working on the most challenging problems across sales & marketing analytics

What are we looking for?

  • Bachelor’s Degree in Analytics or related quantitative fields (statistics, Operations research, mathematics, econometrics etc.); advanced degree preferred
  • 2 - 5 years' experience in applied data science role or equivalent; ideally in CPG/Retail
  • Good to have - Knowledge and experience in modelling techniques and advanced applied skills (e.g. significance testing, GLM/Regression, Random Forest, Boosting, Trees, text mining, social network analysis, etc.) using tools like Spark, Scala, SAS, R, Python, Bayesia, H2O, Storm, Yarn, and Kafka
  • Must have Experience querying databases (SQL, Hive)
  • Experience working with big data platforms such as Hadoop ecosystem (Azure), including in-memory solutions (SAP HANA and Apache Spark)
  • Strong 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

What will be your key responsibilities?

This role is responsible for evangelizing the adoption of data driven decisions across Mars by leading the development of advanced analytics methods, mining vast amounts of data from data lake (internal/ external data) to provide actionable insights for solving business problems or finding opportunities for profitable growth & efficiency.

  • Applies strong expertise in analytics through data mining, machine learning and statistical models, visualization to solving specific business problems
  • Collaborate with business partners to understand the business requirement and develop analytics solutions such as dashboards, models etc. and be able present potential solutions
  • Effectively communicate the analytics approach and how it will meet and address objectives to business partners
  • Advocate and educate on the value of data driven decision making focusing on the “how and why” of solving problems
  • Create repeatable, interpretable, dynamic and scalable models that are seamlessly incorporated into analytic data products
  • Engineer features by using your business acumen to find new ways to combine disparate internal and external data sources
  • Share your passion for Data Science with broader enterprise community; identify and develop long-term processes, frameworks, tools, methods and standards

What can you expect from Mars?

  • Work with over 130,000 like-minded and talented Associates, all guided by The Five Principles.
  • Join a purpose driven company, where we’re striving to build the world we want tomorrow, today.
  • Best-in-class learning and development support from day one, including access to our in-house Mars University.
  • An industry competitive salary and benefits package, including company bonus.

#LI-LD1

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.

Company benefits

Open to part-time employees
Open to job sharing
Open to compressed hours
Sabbaticals
Enhanced maternity leave – 26 weeks at 90% pay
Enhanced paternity leave – 26 weeks at 90% pay
24 days annual leave + bank holidays
“Pawternity” leave
Pregnancy loss leave

The FlexScore® is the result of a rigorous 2-step verification of a company’s flexibility

First we assess the flexibility options Mars UK provides and then we anonymously survey a statistically significant proportion of their employees to make sure Mars UK is as flexible as they say they are. Our assessment is based on the six key elements of flexibility: location, hours, autonomy, benefits, role modelling and work-life balance.

We ask the hard questions so you don’t have to.

Working at Mars UK

Company employees

4000 In the UK

Gender diversity (male:female)

57:43

Office locations

London, Slough, Waltham, Castle Cary, Birstall, Plymouth
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Awards & Achievements
Most flexible Retail & Ecommerce companies

Most flexible Retail & Ecommerce companies

Industry awards 2022