Lead Data Scientist

We are seeking a Lead Data Scientist to drive data-driven strategies by leading analytical initiatives, building advanced predictive models, and extracting actionable insights. This role requires utilizing state-of-the-art data science techniques, collaborating with cross-functional teams, mentoring junior team members, and influencing the organization’s data science strategy. Responsibilities Analyze large-scale datasets to identify trends, patterns, and opportunities for business growth Build predictive models and machine learning algorithms to address complex challenges and improve decision-making Ensure data quality, accuracy, and consistency by preparing and cleaning datasets for use Design scalable data pipelines to manage extensive data processing operations Collaborate with data engineers and developers to implement and integrate machine learning models into production systems Research the latest advancements in data science, machine learning, and artificial intelligence to introduce innovative solutions Conduct exploratory data analysis to discover opportunities for optimization and business value creation Define and document internal frameworks, methodologies, and best practices for data science workflows Provide mentorship and guidance to junior data scientists to support their professional growth and development Effectively communicate analytical findings to technical and non-technical stakeholders Requirements 5+ years of experience in data science, statistical modeling, and machine learning 1+ years of leadership experience in data-driven environments Proficiency in Python and SQL, with experience utilizing machine learning frameworks Solid understanding of statistics, probability, and hypothesis testing with real-world applications Competency in data preprocessing techniques, including data wrangling and feature engineering Skills in leveraging data visualization tools such as Power BI for clear communication of results Familiarity with Agile methodologies and ability to work collaboratively within cross-functional teams Strong problem-solving skills and alignment of data science solutions with business goals Ability to present complex analytical insights in actionable ways for diverse stakeholders English proficiency at a B2+ level for both written and verbal communication Nice to have Expertise in applying deep learning techniques and working with neural networks Knowledge of utilizing cloud platforms for data processing and storage Understanding of data governance, compliance, and privacy regulations in corporate settings Familiarity with specialized techniques, including natural language processing (NLP) or computer vision methods We offer International projects with top brands Work with global teams of highly skilled, diverse peers Healthcare benefits Employee financial programs Paid time off and sick leave Upskilling, reskilling and certification courses Unlimited access to the LinkedIn Learning library and 22,000+ courses Global career opportunities Volunteer and community involvement opportunities Opportunity to join and participate in life of EPAM's Employee Resource Groups EPAM Employee Groups Award-winning culture recognized by Glassdoor, Newsweek and LinkedIn Show more Show less