Data Scientist

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 will work closely with the Data Engineering and Development teams to build pipelines from scratch, design ML models that directly impact user engagement and monetization, and drive innovation in high-load, complex environments. This role offers real ownership: you'll see your models go live, measure results in real time, and if you have the motivation and drive grow into leading the DS team in the future

In this role, you will

• Create, develop, and refine machine learning models to improve business effectiveness
• Work with cross-functional teams, including product management and engineering, to design and deliver innovative features and improvements
• Utilize your expertise in data structures, algorithms, and machine learning techniques to enhance model performance and efficiency
• Apply best practices in MLOps to simplify deployment, monitoring, and maintenance of ML models in production
• Troubleshoot and resolve technical issues related to machine learning models and pipelines
• Stay up to date with the latest trends, technologies, and best practices in machine learning and AI

It's All About You

• 2+ years of experience in machine learning and deep learning on tabular data or recommendation systems
• 2+ years of commercial software development experience in Python and ML
• Experience designing data science roadmaps and leading the technical execution of projects
• Experience with cloud development (AWS/GCP)
• Experience deploying API models in Dev/Prod environments
• Practical understanding of A/B testing processes
• Strong grasp of the mathematics behind modern machine learning, linear algebra, and statistics
• Advanced SQL knowledge
• Proven track record of completing the full data science project cycle — from data load to model deployment
• Deep learning background
• Team-oriented mindset, engagement, and focus on results

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
• Tech interview
• Test Task
• Final Interview
• Reference check
• Offer

P.S. Noticed a perfect match for your friend? We accept recommendations for all vacancies. If you are ready to refer your candidate, you can do it now: Сlick Here

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.