Back to SearchLead Data Scientist
Hybrid in India: Madhya Pradesh, Indore, India: Rajasthan, Jaipur
Data Science
& 3 others
India: Madhya Pradesh, Indore
We are seeking a Lead Data Scientist to spearhead our data strategies by managing analytical projects, creating advanced predictive models, and deriving actionable insights.
This position entails using state-of-the-art data science methods, partnering with diverse teams, and mentoring junior members while shaping the organization’s data science roadmap.
Responsibilities
- Analyze large datasets to identify significant trends, patterns, and business opportunities
- Develop machine learning algorithms and predictive models to address complex problems and drive informed decision-making
- Ensure high data quality, consistency, and accuracy by preparing and processing datasets
- Design scalable data pipelines to support extensive data processing operations
- Collaborate with data engineers and software developers to deploy machine learning models in production
- Explore recent developments in data science, artificial intelligence, and machine learning to implement cutting-edge solutions
- Perform exploratory analysis to identify optimization opportunities and generate additional business value
- Document and establish best practices, methodologies, and frameworks for the data science team
- Mentor junior data scientists to enhance their technical and analytical skills while fostering team development
- Present findings and insights effectively to audiences with varying technical backgrounds
Requirements
- 5+ years of experience in data science, statistical modeling, and machine learning
- 1+ years of experience in leadership roles
- Proficiency in Python and SQL, with hands-on experience in machine learning frameworks
- Strong understanding of statistics, probability, and hypothesis testing for practical applications
- Competency in data preprocessing methods, including data wrangling and feature engineering
- Skills in using tools such as Power BI for data visualization to present insights effectively
- Familiarity with Agile processes and ability to collaborate efficiently within cross-functional teams
- Exceptional analytical abilities and alignment of data science solutions with business goals
- Ability to convey complex analytical insights to stakeholders in an actionable manner
- Fluent English proficiency, with a B2+ communication level
Nice to have
- Expertise in applying deep learning techniques and neural networks
- Knowledge of utilizing cloud platforms for data storage and processing
- Understanding of enterprise-level data governance, compliance, and privacy standards
- Familiarity with advanced methods like natural language processing (NLP) or computer vision
Benefits
- 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