Data Scientist

We are looking for a Data Scientist to join our client — an international technology company in the AdTech industry, headquartered in New York with offices around the world. The company develops software for digital advertising analytics and verification: its platform evaluates the quality of every ad impression — preventing ad fraud, ensuring brand safety and suitability, and verifying viewability and geo-targeting. Its clients include some of the world's largest brands, such as Vodafone and Mondelez. The Data Scientist will take ownership of improving existing models, building statistically robust solutions, and translating business challenges into mathematical problems that are integrated into the platform.
 

Responsibilities:

• Enhance, fine-tune, and continuously improve existing modeling solutions, including customizing open-source libraries to meet project requirements;
• Perform exploratory data analysis and feature engineering to build statistically robust, interpretable models that reflect domain knowledge;
• Keep up with emerging methods and best practices in causal inference and experimental design;
• Translate complex business challenges into well-defined mathematical problems and communicate findings as clear insights and actionable recommendations to external stakeholders;
• Participate in code reviews and provide feedback on model architecture, system design, and technical implementation;
• Collaborate with product and engineering teams to integrate data science solutions into the company's platform.
   

Requirements:

• 5+ years of relevant industry experience with a BA or BSc in science or engineering, or 2+ years of professional experience with an MSc or PhD in a related field;
• Solid understanding of regression techniques, statistical hypothesis testing, and experimental design;
• Strong hands-on experience with the scientific Python ecosystem: NumPy, Pandas, Statsmodels, Matplotlib, and similar libraries;
• Strong communication skills and the ability to explain complex concepts clearly;
• A proactive, curious, and self-motivated approach with a genuine interest in continuous learning;
• Availability for occasional evening meetings (7–9 PM Kyiv time);
• Fluent English (C1).
   

Nice to have:

• Experience writing SQL queries for data extraction, transformation, and analysis;
• Practical knowledge of Bayesian methods and their application to predictive modeling;
• Experience with AWS;
• Hands-on experience with probabilistic programming frameworks such as STAN, PyMC, or NumPyro;
• Understanding of marketing analytics: campaign allocation, performance measurement, and marketing budget optimization.
   

What we offer:

• Paid vacation.
• Paid sick leave.
• Courses and learning opportunities.
• Flexible schedule and fully remote work from any location.
  
  Send your CV!