Lead Data Scientist

5 years

0 Lacs

Posted:2 months ago| Platform: Linkedin logo

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Work Mode

On-site

Job Type

Full Time

Job Description

We are seeking a Lead Data Scientist to spearhead data-driven strategies by leading complex analytical projects, building predictive models, and identifying actionable business insights. This role focuses on applying advanced data science methods, collaborating with cross-functional teams, mentoring junior team members, and shaping the organization’s data science roadmap. Responsibilities Analyze large-scale datasets to uncover actionable trends, patterns, and opportunities for growth Develop cutting-edge predictive models and implement machine learning algorithms to address strategic business challenges Ensure accurate and consistent datasets by conducting data preparation, cleaning, and verification Design scalable data pipelines to manage extensive data processing requirements and improve workflows Collaborate with data engineers and software developers to operationalize machine learning models effectively Explore recent advancements in data science, machine learning, and artificial intelligence to drive innovation Perform exploratory data analysis to identify potential areas for optimization and enhanced decision-making Establish and document internal frameworks and best practices to standardize the organization’s data science processes Provide mentorship and leadership to junior data scientists, fostering skill enhancement and professional growth Translate technical findings into insights by effectively communicating results to both technical and non-technical audiences Requirements 5+ years of experience working in data science, statistical modeling, and machine learning 1+ years of leadership experience in relevant fields Proficiency in Python and SQL, along with expertise in machine learning frameworks Strong understanding of statistics, probability, and hypothesis testing with practical applications Competency in data preprocessing techniques, including data wrangling and feature engineering Skills in creating data visualizations using tools like Power BI to represent findings effectively Familiarity with Agile methodologies and the ability to collaborate within interdisciplinary teams Exceptional problem-solving capabilities geared toward delivering business-aligned data solutions Ability to translate technical data into meaningful strategies for stakeholders B2+ level fluency in English with strong written and verbal communication Nice to have Background in deep learning and neural network architectures Knowledge of cloud-based platforms for data processing and storage solutions Understanding of enterprise-level data governance, compliance, and privacy standards 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

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