Team.Inno / Фабрика инноваций и решений

Data scientist in AdTech

In short

This role involves working as a Data Scientist in the AdTech domain, focusing on CTR/performance optimization through data-driven methods, modeling, experimentation, and metrics analysis. The company is a Belarusian full-circle software development firm with 18+ years of experience and clients across the USA, Canada, UK, Germany, France, Italy, and Japan. The role requires Middle+ level commercial experience, B2+ English, experience with AdTech/RTB/DSP, and a strong Python/ML background, and is based on-site in Minsk.

About the company
Team.Inno is one of the most experienced Belarusian companies providing full-circle software development, implementation and support, business analysis, design, testing, and project management services. Over 18+ years, the company has implemented more than 1600 projects in different industries for clients in the USA, Canada, UK, Germany, France, Italy, Japan, and other countries. The team specializes in 40+ business domains, including Artificial Intelligence, Machine Learning, Augmented & Virtual Reality.
Requirements
•Commercial experience at a Middle+ level or higher, with the ability to work independently and take ownership of tasks
•Confident spoken and written English skills at B2+ level
•Experience with AdTech / RTB / DSP
•Experience with CTR/performance optimization using data-driven methods
•Strong background in modeling, experimentation, and metrics analysis
•Strong Python / ML stack background
•Statistical analysis and hypothesis testing
•Product-oriented mindset focused on measurable impact
•Data-driven decision making
•Ownership of experiments and optimization initiatives
•Accountability for performance outcomes
Conditions
•Timezone: GMT+2
•A broad technology stack with the opportunity to switch between technologies
•Individual growth plans and regular reviews of conditions (project roles, salary level)
•Preparation for interviews with international clients in English
•On-site work format
•Spacious and comfortable workstations
•Detailed onboarding: introduction to the team, processes, and policies, office tour, welcome card
•Cozy kitchens, game rooms, coworking spaces, and lounge areas
•Voluntary health insurance
•Discounts from partner companies (from pizzerias and bookstores to electronics stores)
•The creation of the workplace is planned for the longer term

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