Your responsibilities:

Our team carries out strategic digital transformation and IT projects, focusing on data analysis, ML model development, implementation of LLM-based solutions, design of IT system architecture, setting up of digital product development processes, and some other areas that are important to our clients. Our team has extensive expertise in a variety of sectors, from FMCG to agriculture, which we use in large-scale projects such as implementation of dynamic pricing, product mix optimization, development of product recommender systems, introduction of data management principles, data warehouse architecture design, and many more.

Working as part of a team, you will be responsible for finding the most efficient solutions to specific problems faced by our clients and implementing these solutions to help them deliver sustainable performance improvements and attain their key objectives. For each project, you will collect and analyze data, formulate and test out hypotheses, and develop and present recommendations for clients. Also, you will be responsible for presenting our findings to our clients’ executives.

Your qualifications:

  • Preferably a bachelor’s degree in statistics, economics, mathematics, or quantitative research, or equivalent practical experience.
  • 3 years of hands-on experience in data science, machine learning, or data analytics; knowledge of the mathematical and statistical fundamentals of DS.
  • Proficiency in programming languages (NumPy, pandas, scikit-learn, Matplotlib, seaborn, TensorFlow/PyTorch); ability to develop efficient and robust analytical models.
  • Outstanding communication skills; ability to explain analytical and technical content in an easily understandable way, demonstrate deliverables to clients, and work with diverse stakeholders.
  • Business insight; ability to independently look into the business context of a particular problem and propose solutions while taking into account data availability and limited time for their implementation.
  • Previous work experience with poorly structured and poorly documented data, as well as with large data sets and relational databases (SQL), including designing and optimizing queries for accurate data retrieval.
  • MLOps skills (Docker, MLflow, Airflow, Kubernetes would be a plus).
  • Knowledge of other programming languages would be a plus, as this translates into a greater variety of tools for solving problems.

Click the button below to send in your CV through our Telegram bot, or email it to apply@yakovpartners.com

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Yakov and Partners means

1
Working with the best pros in the market – people from the Big Three as well as brilliant talent from IT, banking, and other industries
2
Opportunity to create new products and influence the development of all sectors of the economy
3
Regular and continuous training for all employees, and opportunity to practice a foreign language
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A unique environment that makes it possible to have fun working and develop quickly