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Job Description

Are you inspired by invention? Is problem solving through teamwork in your DNA? Do you like the idea of seeing how your work impacts the bigger picture? Do you have passion to transform P&G while enabling better decision-making through advanced analytics and machine learning; enhance business results and improving consumer's lives every single day? If yes, Join P&G: we offer you a career in Information Technology, starting as Data Scientist/Data Engineer.
 

We are a smart team of doers that work passionately to apply cutting edge advances in Data science and software to solve real-world challenges that will transform our customers’ and consumer’s experiences in ways we can’t even imagine yet. We invent new improvements every day.

Job Qualifications

• 2+ years of experience using scripting languages (e.g. Python), and/or statistical/mathematical software (e.g. R, SAS, Matlab, etc.)
• You have a deep understanding of Statistics and Machine Learning, Optimization, and other advanced analytical models – and how to apply to real world problems (friends glaze over because you can’t stop talking about them over dinner).
• You are proud to write solid code. Python and Spark are favorites, not your top ones? We can teach you.
• You have familiarity with beating data into submission with pandas, SQL, or Spark.
• You have strong communication skills and prefer to chart your own course to get the job done.
• You know how to tell a story with data.
• You are curious and effective. (Sense a theme? The ability to recognize patterns is important).
• You are a Prioritize, there are only so many hours in a day and your friends and family deserve some of it.
• You value simplicity and understand that good enough is not a cop out.
• You are creative and find that unique viewpoint to solve problems that make others run and cower.
• You are collaborative in practicing Data Science as a team sport. We love to brainstorm together!
• You have a master’s degree or PhD in a quantitative / computational field (Operation Research, Computer Science, Engineering, Applied Math, Statistics, Analytics, Data Science, Life-science, Physics etc.)
• You are fluent in English (written and oral)

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