Data Scientist

  • Компания: RISK
  • Город , Kyiv,
  • Зарплата:
  • Размещено: 2025-10-17 19:52:44

Описание

Job Description

  • Develop and implement statistical and machine learning models to support business decisions across product, marketing, and CRM;
  • Conduct ad-hoc analyses, A/B tests, and hypothesis validation;
  • Prepare, clean, and aggregate data using SQL, Python, or R;
  • Analyze key metrics (LTV, churn, retention, ROI) and identify influencing factors;
  • Provide data-driven recommendations and present insights to product, marketing, and CRM teams.

Qualifications

  • 3+ years of experience in Data Science or Advanced Analytics, with practical examples of predictive modelling (e.g., LTV prediction, advanced statistical modelling beyond linear regression);
  • Strong proficiency in SQL and Python, or R;
  • Proven experience in handling complex product and marketing ad-hoc analyses;
  • Solid understanding of statistical methods (e.g., IV analysis, ANOVA, segmentation, hypothesis testing);
  • Ability to translate business questions into analytical tasks and provide clear, data-driven insights;
  • Experience working with large datasets and building reproducible analytical workflows;
  • Strong communication skills and ability to present analytical findings to non-technical stakeholders.


Additional Information

Our Benefit Cafeteria is Packed with Goodies:

  • Children Allowance
  • Mental Health Support
  • Sport Activities
  • Language Courses
  • Automotive Services
  • Veterinary Services
  • Home Office Setup Assistance
  • Dental Services
  • Books and Stationery
  • Training Compensation
  • And yes, even Massage!

Ready to Take the Leap?

Join a team where every day is an opportunity to take a RISK and come out on top. Follow us on LinkedIn and Instagram, and let us be your hub for turning ambitious ideas and extraordinary solutions into reality.

At RISK, we believe that our people are the driving force behind our success. Together, we can achieve great things and push the boundaries of what's possible in the iGaming industry.

I'm interested

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