Product Supply Data Science Manager

Key Skills

Java Programming, Leadership, Python Programming, SQL, R Programming, SAS, Optimization, Monte Carlo Simulation

Job Description

Responsible for building advanced analytic (ML/AI/Optimization) algorithms within a Data Science program and working with Business Partners and Friends of Data Science to insert algorithms into business processes and activate them directly with the business. Qualifications

Do you want to belong to one of the most advanced Data Science & Analytics group in the industry, developing advanced mathematical models and algorithms and applying Operations Research techniques? Do you have passion for technology and desire to learn and grow continuously? Then the role ofData Scientist at P&G is for you!

A career in IT Data Science & Analytics you will build your Data Science and Analytics skills, develop your ability to influence and think strategically and will provide you with a breadth of experience across multiple P&G businesses and type of work (doing Analytics). As a Data Scientist you will belong to an award-winning Analytics / Operations Research community that is global in scope, and operates across P&G’s supply chains.

Our Data Scientists at P&G are:

• Passionate about Analytics:the ability to mine terabytes of data, develop models and algorithms to derive actionable insights, and then translate those insights into business is essential in our work. In this role you will provide consulting services to P&G business units; you will use mathematical modeling, decision analysis and simulation to provide business insights to various aspects of its functions.
• Effective communicators,self-motivated and able to drive insights into actions that improve business results. Interpersonal and communication skills are critical to thrive in a multi-functional leadership team. Your job is to communicate complex data or algorithms into simple conclusions that will empower others to act based on the insights you derive.
• Technically Capable:Data Scientists “get their hands dirty”, using data visualization (Spotfire, Tableau), and analytic tools (R, Python, SAS, JMP, Hive/Impala, etc.) to grasp the business building insights in our mountains of data. You should be adept at applying such technologies for solving ad hoc business problems, innovating on potential future solutions, and working with technology partners to translate your innovations into robust, scaled, analytic solutions.

We are looking for:

• Bachelor’s or Master’s degree with one of the following majors: quantitative degree (Statistics, Operation Research, Systems Engineering, Decisions Sciences, Computer Science, Applied Math, Economics etc.)
• Strong technical & analytical skill (R, SAS, SQL, optimization, simulation, predictive modeling etc)
• Demonstrated success in leadership, problem solving and priority setting
• Excellent collaboration skills and working comfortably across team
• Proficiency in English