Data Scientist

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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. It is also engaged in e-commerce, food processing & production, agricultural business, parcel delivery, logistics and banking.
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:
Foodtech team is looking for Data Scientist to help us with implementation of Operational Analytics function to develop analytical tools for rapid growth of newly formed food delivery business. As a team member at E-Commerce Business Unit of Fozzy Group, you will help to transform operational data into tangible business value by analyzing information, creating advanced ML models, communicating outcomes and collaborating on product development.

Seniority Level: Middle-Senior level
Employment Type: Full-time
Job Functions: Data Science

Job Responsibilities:
• Develop and maintain data pipelines to ensure timely and accurate data processing and analysis;
• Transform large data sets into insights, recommendations and actionable plans for product teams;
• Build predictive models using machine learning algorithms to support various business functions, such as demand forecasting, delivery polygons and resource optimization, customer segmentation;
• Propose hypotheses to improve existing algorithms and identify new opportunities for the business with latest developments in data science and machine learning;
• Collaborate with various teams across the organization to identify business questions, analyze data, and provide insights to drive business decisions.

• Bachelor’s Degree in Mathematics / Quantitative Economics / Econometrics / Statistics / Computer Sciences / Finance;
• At least 2 years working experience on Data Science;
• Strong mathematical background in Linear algebra, Probability, Statistics & Optimization Techniques;
• Experience of the full cycle of model implementation (data collection, model training and evaluation);
• Independence, proactivity and the ability to decompose when solving problems.

Must Have
• Proficient in at least one programming language (e.g., Python, R);
• SQL (Window & Analytic functions, Nested Queries);
• Machine Learning techniques (e.g., Decision Trees, Random Forest, and Boosting), Time Series Analysis and application of Statistical Concepts (Hypothesis testing, A/B tests, PCA);
• Practical experience in designing ML systems.
• Experience with data engineering tools (Airflow + Kubernetes);
• Knowledge of Reporting and Business Intelligence Software (Power BI, Tableau).

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

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