VP Data
Posted 27 days ago · 0 applicants
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The role in plain words
- 8+ years of experience in Data Science and Machine Learning
- 3+ years of experience directly managing and scaling high-performing data teams
- Exceptional hands-on capabilities to build models and architect systems
- Python
- PyTorch
Extracted from the job description · kept up to date automatically
Who this suits
Full job description
Original listing · kept for referenceWanted: VP Data for a SaaS company in Herzliya. This is a very rewarding full-time and Hybrid position.
The chosen candidate will spearhead the entire data function, uniquely combining strategic leadership with hands-on model building in a cutting-edge Generative AI ecosystem. This senior role offers the exciting opportunity to scale a world-class team from an early stage while directly impacting the intersection of advanced technology and the sports industry. It is a perfect match for a technical leader who thrives on architecting complex systems and possesses a massive, genuine passion for sports.
Job Responsibilities:
● Own the technical direction and the end-to-end data stack, acting as a hands-on leader to build advanced multi-model deep learning and LLM/agent systems. ● Build, mentor, and scale a world-class data team while establishing a high bar for technical quality, execution, and seamless cross-functional collaboration.
● Partner closely with Product and Engineering to translate complex sports scouting and analytics needs into a coherent, scalable technical roadmap.
● Implement rigorous validation practices, establishing metrics that measure machine learning models against real-world outcomes rather than theoretical performance.
Job Requirements:
● 8+ years of experience in Data Science and Machine Learning, with at least 3+ years of experience directly managing and scaling high-performing data teams.
● Exceptional hands-on capabilities to build models and architect systems, backed by strong proficiency in Python and modern ML tooling (such as PyTorch, Pandas, and NumPy).
● Deep understanding of deep learning fundamentals, production deployment, and robust data engineering pipelines (ETL, SQL, and processing messy real-world datasets).
● Proven experience in building, evaluating, and deploying LLM- and agent-based systems within a production environment.
● A huge passion for sports and sports analytics; previous experience working in sports companies or possessing deep football domain knowledge is a major advantage.
Questions about this role
- This listing did not state a salary. We only show pay when the employer publishes it.
- 8+ years of experience in Data Science and Machine Learning, 3+ years of experience directly managing and scaling high-performing data teams, Exceptional hands-on capabilities to build models and architect systems, Python, PyTorch