Senior Data Scientist

Responsibilities:

• 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. 

Qualifications:

• 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.