DevJobs

Data Scientist

Overview
Skills
  • Python Python
  • ML ML
  • PyTorch PyTorch
  • TensorFlow TensorFlow
  • scikit-learn

LSports is a global leader in sports data, committed to revolutionizing the industry with innovative solutions.

Our focus is on sports data collection and analysis, advanced data management, and cutting-edge services such as AI-powered sports tips and high-quality sports visualization. As the sports data landscape grows, we remain at the forefront, delivering real-time solutions.


About the team: Data Integrity

At LSports, we place a lot of emphasis on Data Integrity, which is a cornerstone of our long-term strategy.

Data Integrity group is at the forefront of real-time analytics, using machine learning and artificial intelligence to balance low latency and impeccable data accuracy.

If you share our love of sports and tech, you've got the passion and will to better the sports-tech and data industries - join the team! We are looking for a highly motivated Data Scientist.


Responsibilities:

  • Lead the development and deployment of advanced analytical models to solve complex problems, leveraging advanced statistical techniques.
  • Collaborate with cross-functional teams, including engineers and product managers, to understand business challenges and design data-driven solutions.
  • Analyze large and complex data sets, applying mathematical theories and statistical methods, to produce actionable insights.
  • Stay current with emerging trends in data science and statistics and evaluate their applicability to business problems.

**It is possible to work from the offices in Ramat Gan and Ashkelon**


Requirements:

  • Minimum of 5 years of experience in data science or as a statistician, with a strong focus on mathematical modeling and statistical analysis.
  • M.Sc. in Mathematics, Statistics, or a related field - Must. Ph.D - Advantage.
  • Proficiency in Python.
  • Understanding of Machine Learning, its advantages and challenges.
  • Strong experience in machine learning algorithms and frameworks such as scikit-learn, TensorFlow, or PyTorch.
LSports