Middle Data Scientist

FAVBET Tech develops software that is used by millions of players around the world for the international company FAVBET Entertainment.
We develop innovations in the field of gambling and betting through a complex multi-component platform which is capable to withstand enormous loads and provide a unique experience for players.

 

About the Role:

We are looking for a Data Scientist to join our growing team. In this role, you will work closely with the marketing, product, and engineering teams to deliver data-driven insights and build end-to-end machine learning solutions that support strategic decisions and product enhancements.

Responsibilities:

• Work on one of the following projects: User segmentation, Lifetime Value (LTV) prediction, Churn prediction.
• Collaborate with marketing and product teams to understand business needs and deliver data-driven solutions.
• Analyze large-scale datasets to uncover actionable insights that drive business and product outcomes.
• Build, validate, and deploy machine learning models to solve real-world problems.
• Partner with engineering teams to ensure access to reliable data sources and develop robust feature pipelines.
• Design and conduct A/B tests to measure the impact of new features and changes.
• Present analytical findings and model results clearly to business stakeholders.

Required Qualifications:

• Minimum of 2 years of experience as a Data Scientist or ML Engineer.
• Proficiency in Python, including libraries such as sklearn, lightgbm, keras/pytorch/jax.
• Proficiency in SQL, including writing complex queries.
• Hands-on experience designing, running, and interpreting A/B tests.
• Experience with version control systems such as GitHub, GitLab, or Bitbucket.

Nice to Have:

• Experience with cloud data platforms, ideally AWS.
• Familiarity with Docker or other containerization tools.
• Understanding of MLOps fundamentals and best practices.

We offer:

• 30 days off — we value rest and recreation.
• Medical insurance for employees and the possibility of training employees at the expense of the company and gym membership.
• Remote work or the opportunity — our own modern lofty office with spacious workplace, and brand-new work equipment (near Pochaina metro station).
• Flexible work schedule — we expect a full-time commitment but do not track your working hours.
• Flat hierarchy without micromanagement — our doors are open, and all teammates are approachable.