Data Scientist

Key Skills

Apache Hadoop, Apache Hive, Azure, Data science techniques, Data Visualization, Effective communication skills, ggplot, Mathematics, PowerBI, PySpark, Python Programming, R Programming, SAS, SQL, Tableau

Job Description

One Demand Data & Analytics (ODDA) is a Mars Wrigley program that harnesses the power of data and insights to solve some of the critical business-wide problems we face – unlocking quality growth and operational excellence. ODDA team is being built under Chief Growth officer organization and is led by Global VP Data Analytics & Insights.

Through ODDA, we deliver connected insights across the entire demand ecosystem. We empower our Associates with the right data, tools, and capabilities so they can take decisive action, maximizing value and making a meaningful impact on our consumers, our customers and our business.

The Strategic Revenue Management vertical within ODDA seeks to equip Mars SRM Associates with the capabilities needed to optimize and improve areas such as Strategic Pricing, Trade Promo, Mix and Trade Architecture/Expenses

The Junior Data Scientist role is part of the team lead by the Global SRM Analytics Director and will work across North America, Europe, Global emerging markets and China. This role will be integral part of the expanding data science function and to deliver advanced analytics capabilities and solutions to act, maximize value and make meaningful impact on our consumers, customers, and business. The role involves hands-on delivery of analytics and insight and requires end-to-end expertise from data, analytics and insight delivery to stakeholder engagement and support of benefit realization.

Key Responsibilities

• Lead and build Advanced analytics capabilities, focusing on Strategic Revenue Management capabilities
• Deliver consumer data analytics and measurement to allow business to understand real-time performance and act at pace on marketing campaigns including digital
• 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

Job Specifications/Qualifications

• Bachelor’s degree in Analytics or related quantitative fields (statistics, Operations research, mathematics, econometrics etc.). Advanced degree will be preferred
• 2+ 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
• Experience or knowledge of Shopper marketing and direct consumer promotion, marketing analytics, performance marketing and related data sources, specifically experience with Google Analytics, Data Studio and Google Tag Manager, SAP, Salesforce, other DSP/DMPs, Shopify, Facebook & Google Ads Manager, Data clean rooms, Consumer data platforms, Audience intelligence platforms, Heatmapping software, Social listening etc. as well as internal and external consumer data sources including consumer panel data, first party (e.g. e-mails, MAIDs), second party (e.g. JBP (Meta, Amazon), Retailer Media) and 3rd party (e.g. Kantar, Dynata, Nielsen, IRI) is preferred, but not mandatory across all data sources mentioned
• AGILE Software Development
• Strong communication and presentation skills

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.