What are we looking for?

• Bachelor’s Degree in Analytics or related quantitative fields (statistics, Operations research, mathematics, econometrics etc.); advanced degree preferred

• 4 - 6 years' experience in applied data science role or equivalent; ideally in CPG/Retail

• 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

• 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)

• 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?

• Applies strong expertise in AI through use of machine learning, data mining, and statistical models to design, prototype and build next generation AA engines and services  

• Collaborate with business partners to develop novel ways to meet objectives utilizing cutting edge techniques and tools

• 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

• Lead analytic approaches, integrating work into applications and tools with data engineers, business leads, analysts and developers

• 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

• Collaborate, coach, and learn with a growing team of Data Scientists

• Stay connected with external sources of ideas through conferences and community engagements

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.