Data Scientist

LSports

רמת גן
משרה קבועה
משרה מלאה

לפני 11 ימים
שלח בקשה בקלות

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.If you're passionate about both sports and technology and want to drive the sports-tech and data industries into the future, we invite you to join our team.About the team: Data IntegrityAt 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.Responsibilities:

Lead the development and deployment of advanced analytical models to solve complex problems, leveraging advanced statistical techniques.
Design and develop NLP models for tasks such as Named Entity Recognition, Classification, Text Similarity, Clustering and other tasks.
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**

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 - Advantage.
Proficiency in Python.
Basic understanding in deep learning - Must
Understanding of Machine Learning, its advantages and challenges.
Strong experience in machine learning algorithms and frameworks such as scikit-learn, TensorFlow, or PyTorch.

LSports