Lead Data Scientist

at  Epam Systems

Join our remote team as a Lead Data Scientist. We are looking for someone with robust knowledge of Python and SQL.
In the role of a Lead Data Scientist, you will be central to the identification of business issues, data analysis, model creation and validation, and the presentation of results in an understandable and informative manner. The work you do will be pivotal in shaping data-driven decision-making in our organization.
Leverage your expertise and join us - apply now!
We accept CVs in English only.

REQUIREMENTS

• At least 5 years of experience in Python and SQL for data analysis and modelling
• At least 1 years of relevant leadership experience
• Concrete experience in data-centric applied mathematics, such as statistical analysis and machine learning
• Strong modelling and Algorithm approach, for instance, Boosting Algorithms
• Experience with data analysis tools and libraries like NumPy, SciPy, Scikit-learn, pandas, and matplotlib
• Strong experience in ML Modelling for Deep Learning, AI, and Time Series Forecasting
• Proficiency in at least one major Cloud provider (AWS, GCP, or Azure)
• Familiarity with operationalizing Data Science solutions
• Strong data visualization skills
• Experience with NLP and text mining
• Problem-solving aptitude
• Effective communication and presentation skills, with English fluency

• Problem identification and solution through data analysis and modelling
• Effective application of Python and SQL for data interpretation and analysis
• Creation and validation of analytical models for varied applications including Deep Learning, AI, and Time Series Forecasting
• Clear, informative presentation of findings and insights
• Collaboration with cross-functional teams to encourage data-driven decision-making
• Keeping up-to-date with the newest developments in Data Science and ML modelling
• Contribution to the operationalization of Data Science solutions
• Use of data visualization techniques for effective communication of insights
• Application of NLP and text mining techniques for insightful analysis
• Leadership and mentorship for junior data science professionals