Lead Data Scientist

We are seeking an experienced Lead Data Scientist to join our team. This role is vital in identifying business problems, finding the right data and methods to address them, building and validating analytical models, and presenting the findings in a clear and informative way. If you have a demonstrated history of leading data science projects and a passion for utilizing advanced technologies to solve complex business challenges, we encourage you to apply.
EPAM is a leading global provider of digital platform engineering and development services. We are committed to having a positive impact on our customers, our employees, and our communities. We embrace a dynamic and inclusive culture. Here you will collaborate with multi-national teams, contribute to a myriad of innovative projects that deliver the most creative and cutting-edge solutions, and have an opportunity to continuously learn and grow. No matter where you are located, you will join a dedicated, creative, and diverse community that will help you discover your fullest potential.

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• Identify business problems and develop effective data-driven solutions to address them
• Leverage cloud technologies to create scalable and efficient data science solutions
• Apply Data Science Commons and Machine Learning Engineering concepts to develop innovative solutions for business problems
• Build and validate analytical models
• Present findings in a clear and informative manner, ensuring stakeholders understand the implications of the analytical models
• Collaborate with cross-functional teams to integrate data science solutions into business processes and decision-making
• Stay updated on the latest advancements in data science and apply new techniques to improve existing models and methodologies
• Effectively manage and mentor junior data scientists, fostering a culture of continuous learning and development

• Minimum of 5 years of experience in Data Science, with a strong understanding of data analysis concepts and methodologies
• Proven expertise in Generative AI Fundamentals and Large Language Models, with a focus on utilizing these technologies to address complex business problems
• Proficiency in cloud technologies, particularly in AWS, GCP, or Azure, with a comprehensive understanding of leveraging cloud services for data science projects
• Advanced skills in Python and SQL, enabling effective data manipulation and analysis
• Strong knowledge of Data Science Commons and Machine Learning Engineering, with an emphasis on applying these concepts to real-world business challenges
• Experience in building and validating analytical models, with a focus on ML Modeling for Deep Learning, AI, Time Series Forecasting, NLP
• Excellent communication skills, with the ability to present complex findings in a clear and informative manner
• Fluent in spoken and written English at an Upper-Intermediate level or higher

• Connectivity Bonus (15,000 ARS are paid with a salary receipt at the end of each month as a non-wages concept)
• Medicina Prepaga (It covers the collaborator and direct family group)
• Paternity Leave (Two additional days are added to what is established by law, total of 4 days)
• Discounts card
• English Training (English lessons, twice per week)
• Training Program (Access to multiple customized training plans according to the needs of each role within the company)
• Marriage bonus (The company doubles the allowance established by law that ANSES offers)
• Referral Program (Referral bonus is paid when the referral of a collaborator joins the Company)
• External Agreements and Discounts
• Vacations: 14 calendar days a year