Manager Data Science

Responsibilities:

• Develop data-driven proposals for business process optimization and work them through with internal stakeholders.
• Ensure applicability of the developed models and data quality.
• Manage and own end-to-end execution of machine learning projects of the Company.
• Communicate and Collaborate with internal business stakeholders, data science peers and colleagues responsible for data storage.
• Present and discuss research insights with business stakeholders.
• Data engineering for the purpose of research.
• Generate data-driven insights to create and develop recommender and predictive systems.
• Combine, enhance and modify multiple data science models and products to develop new products for business process optimization.
• Analyze opportunities and propose strategies for PMI brands and products, collaborating with multiple departments.
• Forecast sales projection for new products and marketing campaigns.
• Create monthly analytical reports on products performance
• Prepare reports and materials to support business planning and decision-making.
• Participate in budget planning cycles.

Requirements:

• MS Excel, SQL – advanced user, able to quickly work with big data sets.
• MS Power BI – competent user, able to visualize data insights and results of research.
• Python – competent user, uses numpy, scipy, pandas, sklearn libraries, knowledge and practical experience with core ML algorithms (Logistic Regression, Random Forest, Boosting, Neural Networks).
• Senior stakeholder management experience.
• Leadership skills.
• Upper-intermediate English.

Conditions:

• Financial Welbeing: 13th salary, corporate pension program, additional payment for employees having 3 children or more.
• Hybrid SMART Work Model which provides for the possibility of alternating between work in the Company office and remote work.
• Actual learning programs focusing on leadership and functional skills development.
• Voluntary Health Insurance with dentistry from the start of employment, 3 programs of life and health insurance (incl. spouses and kids)
• Additional days off (wedding, childbirth, other personal events)
• Opportunity to join one of employee sporting teams (hockey, soccer, running clubs, volleyball, yoga, etc.) or organize one of yours
• Social and charity events.