Data scientist (Forecasting) $1500-2800 Offline

Qualification & Experience:

• 1.5-2 years of relevant work experience running data analytics projects

• Good knowledge of Python (or R). Advanced Excel is helpful as well

• 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)

• Upper-Intermediate English

As a plus:

• Experience in advance ML (Gradient Boosting algorithms, Neural Networks) would be a plus

• 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

Responsibilities:

• 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.

• Work in a fast-paced and dynamic environment; conducting research and prototyping innovations; data and requirements gathering; solution scoping and architecture.

• Execute quantitative data analyses that translates into actionable insights for the broader team.

• Be able to learn and pick up a new language/tool/ platform quickly.

• Collaborate and coordinate with different functional teams to implement models and monitor outcomes.

• Capable of working with development teams locally and globally.

We offer:

• 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.