Data Science Leader

Responsibilities

• Optimize business processes with roll-out of machine learning and intelligent data research.
• 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.

Requirements

• Excellent math methods and algorithms knowledge: probability theory, math statistics, linear algebra, optimization methods.
• 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).
• Upper Intermediate level of written and spoken English.

What they offer

Compensation package

• Learning and development opportunities, including international assignments.
• Competitive salary.
• Corporate Pension plan.
• Life and disability insurance, voluntary medical insurance (inc. dental care and critical diseases).
• Additional paid day-offs on a personal event.
• Meal allowance.

Flexible work program

• Flexible working hours.
• Remote work.
• Compressed Friday.

Wellbeing programs

• Multisport co-sponsoring program.
• Social and charity events.
• Guest Talk» program – external speakers share best practices.
• Employee Assistance Program (EAP).