December 6, 2020

Senior Data Scientist в Procter & Gamble


  • analyze and model on big datasets, translating 1.5TB daily consumer touchpoints and 500 million consumers' behaviors to actionable recommendations;
  • answer business questions and propose solutions for business problems by applying machine learning techniques and algorithms;
  • automatize analysis of consumer information or other deep learning data, explore their patterns and recommend business activities;
  • discover and invent next-generation analytic capabilities for our category analysts and business partners;
  • create your new algorithm-driven applications, set and execute strategies - from design-thinking up to user adoption;
  • improve P&G's analytic capability program at different levels of skills and seniority, provide coaching & training;
  • practice and expand your deep expertise in applied Data Science for Sales and Marketing challenges.

Compensation and benefits:

  • competitive base salary and annual bonus;
  • competitive medical, life and travel insurance;
  • monthly lunch subsidy;
  • flexible work hours and possibility to work from home;
  • possibility of enrollment in P&G International Stock Ownership Plan;
  • relocation support in case you move to Moscow from another region.


  • work experience of 3-7 years in Data Science & Machine Learning;
  • deep understanding of Statistics, Machine Learning, Optimization, other advanced analytical models and how to apply them to real world problems;
  • familiarity with beating data into submission with pandas, Python, SQL, or Spark;
  • strong English (upper-intermediate and higher);
  • master's degree or PhD in a quantitative or computational field (Operation Research, Computer Science, Engineering, Applied Math, Statistics, Analytics, Data Science, Physics, etc.) will be a plus;
  • strong communication skills;
  • collaboration in practicing Data Science as a team sport.

What could give you extra chances to have fun:

  • experience in solving problems in Sales & Marketing processes: Programmatic Media, CRM, Social Media, Sales Forecasting & Plan Optimization;
  • experience with Big Data Ecosystem: Spark, MapReduce, SQL, Hive;
  • experience with Cloud Infrastructure: Microsoft Azure, Google Cloud Platform;
  • experience with Agile DevOps, GitHub, Jira, Confluence;
  • basic understanding of Business Intelligence Tools such as Power BI, Spotfire, Tableau and/or UI frameworks (Flask, Vue.js) to impress your business sponsors.

Just so you know:

  • all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability status, age, sexual orientation, gender identity and expression, marital status, citizenship, HIV/AIDS status or any other legally protected factor;
  • no immigration sponsorship is available for this position.


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