Middle data science

• About us

Fozzy Group is one of the largest trade industrial groups in Ukraine and one of the leading Ukrainian retailers, with over 700 outlets all around the country. Besides retail, the group's businesses include food production, and restaurants. Fozzy Group is introducing modern solutions in all areas of its activity. By investing in improving its business processes, the group has achieved leading positions in the retail market.

By performing retail chains logistics through its own distribution centers, Fozzy Group has been able to ensure the timely delivery of food to its stores all over Ukraine. In addition, the group operates its own quality control system, ensuring full compliance with its standards in goods storage, transportation and sale. Since its inception in 1997, Fozzy Group has focused on making innovative business improvements, creating new opportunities for the market and further developing the industry as a whole.

Job Description:

Investment Analytics team is looking for Data Scientist to help us with transformation of Workforce Planning function based on employee productivity KPIs on granular processes in every store. A workforce planning professional monitors a store's business processes and predict traffic to make sure it employs enough workers with the right skills at the right time. As a team member at Investment & Analytics Department of Fozzy Group, you will help to transform our operational data and KPIs into tangible business value by analyzing information, communicating outcomes and collaborating on product development.

Seniority Level: Middle/Senior level

Industry: Information Technology & Services, Computer Software, Staffing & Recruiting

Employment Type: Full-time

Job Functions: Data Analysis, Data Science

Job Responsibilities 

• Interpreting and translating business problems into analytical solutions for optimization and development of Workforce Planning model;
• Involvement in the entire project life cycle including data extraction, data cleaning, statistical modeling, and data visualization with large data sets of structured and unstructured data.
• Creating algorithms & models to identify drivers of growth, losses and profitability for initiatives to support business decisions;
• Analytical support for project initiative effects estimation & creation of decision support reports;
• Communication with key stakeholders (HR, Finance, Operational & Commercial Departments) to design & implement Workforce Planning initiatives;
• Keeping close contact with regional management and Continuous Transformation team.
• Designing the system data flow to DWH with support of Data Architects;
• Close interaction with the development team.

Requirements

• Bachelor's Degree in Mathematics / Quantitative Economics / Econometrics / Statistics / Computer Sciences / Finance;
• At least 1 year working experience on Data & Analytics;
• Strong mathematical background in Linear algebra, Probability, Statistics & Optimization Techniques;
• Experience in handling Structured and Unstructured data, writing advanced SQL queries, Data Wrangling, Data Visualization, Data Acquisition & Predictive modeling;
• Willingness to learn, professionalism and dedication, able to work under pressure;

Skills

MustHave

• Python (numpy, pandas, sklearn);
• SQL (Window & Analytic functions, Nested Queries);
• Advanced Excel (Pivot Tables & VBA);
• Skills in Advanced Regression Modeling, Multivariate Analysis, Time Series Analysis and application of Statistical Concepts (Hypothesis testing, A/B tests, Factor analysis / PCA).

Preferred

• Experience of modelling non-continuous events, implementation of Linear Optimization Methods (Mixed-Integer Linear Programming);
• Knowledge of Reporting and Business Intelligence Software (Power BI, Tableau, Qlik, Cognos Analytics, etc.);
• Machine Learning techniques (Decision Trees, Random Forest, XGBoost, SVM).

What We Offer

• Competitive salary;
• Professional & personal development opportunities;
• Being part of dynamic team of young & ambitious professionals;
• Medical insurance package;
• Corporate discounts for sport clubs and language courses.