Lead Data Scientist

We are seeking a Lead Data Scientist to shape our data strategies by spearheading analytical initiatives, building sophisticated predictive models, and uncovering actionable insights to drive growth. This position requires applying advanced data science methodologies, working collaboratively across teams, and guiding junior staff while influencing the strategic direction of the organization’s data science practices. Responsibilities Analyze large-scale datasets to identify trends, patterns, and insights that drive business success Develop predictive models and machine learning algorithms to address complex challenges and strengthen decision-making Establish, monitor, and maintain high data quality by preparing and cleaning datasets for utilization Design and optimize scalable data pipelines tailored to handle extensive data workloads Collaborate with data engineers and software developers to deploy and operationalize machine learning models into production environments Research advancements in data science, AI, and machine learning to introduce innovative solutions Identify optimization opportunities through exploratory data analysis Document and establish internal methodologies, frameworks, and best practices for data science initiatives Mentor junior data scientists, driving professional growth and knowledge-sharing for team cohesion Deliver clear and impactful presentations of technical findings to diverse stakeholders with varying levels of technical expertise Requirements 5+ years of experience within data science, machine learning, and statistical modeling 1+ years of proven leadership in a relevant capacity Proficiency in Python and SQL, with practical experience in machine learning frameworks Strong understanding of statistics, probability, and hypothesis testing in real-world applications Competency in data preprocessing techniques, including data wrangling and feature engineering Skills in leveraging tools like Power BI to create impactful data visualizations Familiarity with Agile workflows and adeptness at collaborating within cross-functional teams Exceptional problem-solving capabilities to align analytics with critical business goals Background in conveying advanced analytical findings into actionable strategies for stakeholders Fluent English ability at a B2+ level Nice to have Proficiency in deep learning approaches and neural network design Knowledge of cloud-based platforms for efficient data storage and processing Understanding of regulations around data governance, compliance, and privacy policies within enterprise environments Familiarity with specialized techniques like natural language processing (NLP) or computer vision 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