Senior Data Scientist

About the company: United Tech is a global IT product company shaping the future of real-time social connection. With millions of users across North America, Europe, LATAM, and MENA, we build next-gen mobile and web apps for live-streaming and social networking. Our platforms enable connection at scale fast, interactive, and deeply engaging. The market is projected to exceed $206B by 2030, and we are already leading the evolution. Founded in Ukraine, scaling worldwide.

About your role: As a Data Scientist, you step into a product ecosystem where millions of interactions happen every day across live streams. Your work becomes the engine behind smarter decisions at scale: transforming raw signals into predictive insights, elevating user journeys, and driving measurable business impact across Tier-1 markets. This role blends deep technical ownership with product thinking — you won’t just build models, you’ll shape how intelligence flows through one of the fastest-growing social & streaming platforms in our space.

In this role, you will

• Create, develop, and refine machine learning models to improve business effectiveness
• Work with cross-functional teams, including product and engineering, to deliver impactful features and improvements
• Utilize expertise in data structures, algorithms, and ML techniques to boost model performance and efficiency
• Apply best practices in MLOps for seamless deployment, monitoring, and maintenance of ML models in production
• Troubleshoot and resolve issues related to ML pipelines and model reliability
• Stay ahead of the latest trends and best practices in ML and AI
• Define and support the roadmap for the recommendation engine, focusing on gifts and coins recommendations
  
  
  

It’s All About You

• 2+ years of experience in machine learning and deep learning on tabular data, especially recommendation systems
• 2+ years of software development with Python and hands-on ML project work
• Experience designing a data science roadmap and leading technical execution
• Experience with cloud development on AWS/GCP/QWAK (GCP preferred)
• Experience deploying API-based ML models in dev/prod environments
• Solid understanding of A/B testing processes
• Strong grasp of the mathematics behind ML: linear algebra, statistics, optimization
• Extensive SQL experience — ideally BigQuery
• Excellent communication skills, strong teamwork
• Responsibility and ability to work independently
  
  
  

Would be a plus

• Experience in the social networking domain
• Broader ML experience beyond computer vision or NLP-only backgrounds
  
  
  

What We Offer

• Care and support:
• 20 paid vacation days, 15 sick days, and 6 additional days off for family events
• Up to 10 additional days off for public holidays
• 100% medical insurance coverage
• Sports and equipment reimbursement
• Team building events, corporate gifts, and stylish merch
• Online yoga with an instructor certified by the Ukrainian Federation of Yoga
• Financial and legal support
• Position retention and support for those who join the Armed Forces of Ukraine
• Participation in social initiatives supporting Ukraine
• Comfortable working environment:
• Work from our Kyiv hub or remotely with a flexible schedule
• Modern equipment or depreciation of your own tools
• Investment in your future:
• Collaborate with a highly-skilled team of Middle & Senior professionals, sharing practical cases and expertise in the social networking niche
• 70% of our heads and leads have grown into their roles here – so can you!
• Performance-oriented reviews and Individual Development Plans (IDPs)
• Reimbursement for professional courses and English classes
• Corporate library, book club, and knowledge-sharing events
  
  
  

Hiring process

• Intro call
• Technical interview
• Test task
• Final interview with Head of Operations
• Reference check
• Offer
  
  
  

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.