Data Science Team Lead

Data Science Team Lead

Raanana, Israel | Full-time | On-site

PC App Store is a global B2B2C platform focused on desktop app distribution, user acquisition, and publisher monetization. Our ecosystem powers millions of user interactions across app discovery, recommendation, and engagement flows.

We are looking for a highly experienced Data Science Team Lead to lead our Ukraine-based Data Science team and drive the next generation of intelligent recommendation and optimization systems across our platform.

As this role works closely with the company’s leadership, product direction, and strategic decision-making, we are specifically looking for someone based in Israel who can work directly with the CEO and Product stakeholders from our headquarters in Raanana, while coordinating closely with distributed Data Science and Engineering teams.

This role combines hands-on applied Machine Learning, experimentation, and strategic product impact. You will play a key role in improving user acquisition, retention, monetization, and app discovery performance through scalable data-driven solutions.

What You’ll Be Doing

Lead, manage, and mentor a distributed Data Science team in Ukraine, driving both technical excellence and execution quality.

Coordinate priorities, task execution, and delivery processes across the Data Science function.

Design, build, and improve recommendation and ranking models that optimize user engagement, conversion, and monetization.

Develop scalable ML-driven decision systems using statistical modeling, predictive analytics, and advanced recommendation techniques.

Work closely with Product, Engineering, and BI stakeholders to translate business objectives into measurable data solutions.

Analyze behavioral and product data to identify growth opportunities and improve product performance.

Establish experimentation methodologies, performance monitoring, and model evaluation processes.

Contribute to the company’s broader AI and data strategy, including intelligent automation and AI-powered product capabilities.

Tech Stack

AWS SageMaker

AWS Athena

Python

SQL

Amazon QuickSight

Claude AI and modern AI productivity tools

What We’re Looking For

5+ years of hands-on experience in Data Science, Applied Machine Learning, or Recommendation Systems.

Proven experience building production-grade recommendation, scoring, or optimization systems with measurable business impact.

Strong background in Machine Learning, statistical analysis, experimentation, and predictive modeling.

Strong Python and modern data stack experience.

Experience leading technical teams or mentoring Data Scientists in a production environment.

Strong Advantages

Experience with ranking systems, reinforcement learning, or personalization engines.

Experience integrating AI-driven automation or intelligent agent workflows into product ecosystems.

Experience working with distributed/remote teams.

MSc/PhD in Computer Science, Mathematics, Statistics, or related field.

Ability to effectively collaborate with the Ukraine-based team in Ukrainian is considered a strong advantage.

Why Join Us?

✨ Work on high-scale consumer-facing products with direct business impact.

🚀 Help shape the future of intelligent app discovery and recommendation systems.

🌍 Collaborate with international teams in a fast-growing global company.

📈 Strong ownership, technical influence, and growth opportunities.

🏢 Modern office environment in Raanana, Israel.

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