Manager - Data Analytics (Lead Data Scientist)
Mahindra & Mahindra Limited · Bengaluru, Karnataka, India
Motor Vehicle Manufacturing · 10,001+ employees
About the role
The Lead Data Scientist will design, develop, and deploy advanced machine learning models while collaborating with cross-functional teams to solve complex business problems. They are responsible for defining technical strategies, evaluating new AI methodologies, and translating business requirements into effective analytics pipelines.
What they look for
Requirements
Candidates must possess a Bachelor's degree in a quantitative field and 5-8 years of professional experience in data science. Proficiency in Python, SQL, and cloud platforms like AWS is required, along with a proven track record of leading data science projects.
Full description
Position Overview:
We are seeking a highly experienced and skilled Lead Data Scientist to join our team at LMM PD, with a proven track record of leading successful data science projects and teams. Selected candidate will play a critical role in driving the development and implementation of advanced data analytics solutions to solve complex business problems.
Responsibilities:
- Design, develop, and deploy machine learning models and algorithms
- Collaborate with cross-functional teams including product management, engineering, and business stakeholders to define project objectives, scope, and deliverables
- Develop and Execute technical strategies and progress updates to stakeholders and executive leadership
- Stay updated on the latest trends and advancements in data science, machine learning, and AI, and evaluate their potential impact on our business
- Lead the evaluation of new AI tools, frameworks, and methodologies, advocating for the adoption of technologies that align with our strategic goals
- Capable of translating business problem statement into machine learning problem statement
- Design e2e analytics pipeline
Qualifications:
- Bachelor’s degree in Computer Science, Statistics, Mathematics, or a related field. Advanced degree (Master's or Ph.D.) preferred
- Minimum of 5-8 years of professional experience in data science or related fields
- Proven experience leading data science projects from inception to delivery, with a strong focus on business impact and value creation
- Expertise in machine learning, statistical analysis, and predictive modelling techniques
- Proficiency in programming languages such as SQL, Python, and/or Java, along with experience in data manipulation and analysis libraries, and expertise in Docker, Kubernetes, AWS(Lambda,ECS,Superset), and MLops
- Strong analytical and problem-solving skills, with the ability to translate business requirements into technical solutions.Excellent communication and interpersonal skills, with the ability to effectively collaborate with diverse teams and stakeholders
- Experience in predictive analytics within the automobile domain is a plus
- Experience working in Agile/Scrum development environments is a plus
- Experience in Data engineering and Data visualization platforms is a plus
- Experience working on cloud platforms such as AWS Cloud is a plus
