Key Responsibilities
Drive and execute the data science modeling strategy.
Work cross-functionally to deliver models from inception to production.
Mentor a team of data scientists, providing technical guidance and support.
Develop and implement advanced data models, algorithms, and machine learning techniques to solve complex business problems.
Collaborate with cross-functional teams to identify data-driven opportunities and deliver actionable insights.
Work closely with data engineering and data analyst teams to ensure seamless integration and delivery of comprehensive data solutions for business objective
Ensure the accuracy, reliability, and scalability of data solutions.
Stay up-to-date with the latest trends and technologies in data science and machine learning.
Communicate findings and recommendations to stakeholders through clear and concise reports and presentations.
Drive continuous improvement in data science practices and methodologies.
M.Sc. academic degree in Engineering, Mathematics, Statistics, or relevant field
Proven experience as a data science tech lead
At least 6 years as a Data Scientist
Strong proficiency in programming languages such as Python and SQL
Proven hands-on experience developing and researching algorithms in data science/machine learning techniques and statistical methods.
Strong experience in ML algorithms and libraries such as scikit-learn, TensorFlow or PyTorch, and common quality measurements
Strong coding capabilities in Python and SQL
