Fractal Analytics is one of the most prominent players in AI and analytics space. Fractal’s mission is to power every human decision in the enterprise, and brings AI, engineering, and design to help the world’s most admire Fortune 500 companies.
11 лютого 2022

Data Scientist (Forecasting) (вакансія неактивна)

Київ

Необхідні навички

• 2+ years of relevant work experience running data analytics projects
• Good knowledge of Python. Advanced Excel is helpful
• Practical experience developing sophisticated statistical or econometric models is a must
• Knowledge of classical algorithms and data structures (Linear/Logistic/Hierarchical regressions, Factor/Cluster analysis, Decision Tree-based algorithms, Time-series forecasting)
• Intermediate or higher English is a must

Буде плюсом

• Experience in advance ML (Gradient Boosting algorithms, Neural Networks)
• Hands-on experience of working in Consumer goods domain: pricing and promotion analytics, marketing analytics, trade promotions, supply chain management, segmentation would be a plus
• Experience leading and working independently on end-to-end projects in a fast-paced environment is strongly preferred

Пропонуємо

• Best team: a multicultural team of bright specialists and friendly, helping people;
• Challenge: plenty of complex and exciting projects from international clients;
• Income: competitive salary and end-year bonuses;
• Vacation: paid leave of 27 business days per year;
• No micromanagement: we encourage self-organization and trust
• Learning and professional development: access to company learning platforms with free courses, external certifications and learning programs, free English classes;
• Being healthy: free health insurance;
• Communication: company parties, celebrations, workshops in different locations, cross-locations and cross-projects exchange programs.

Обов’язки

• As a Data Scientist in our CPG practice, you will be building solutions that require analyzing client business problems and developing models to help solve them.
• Conduct research and prototype innovations; gather data and requirements; scope solution and architecture.
• Execute quantitative data analyses that translates into actionable insights for the broader team.
• Collaborate and coordinate with different functional teams to implement models and monitor outcomes.

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