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Manager - Data Analytics (Lead Data Scientist)

Mahindra Group
Bengaluru, IND
Manager · 5–8 years experience
Onsite
Discovered 2 weeks ago

Full Job Posting

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
  • Qualifi cations:
  • 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

Preferred Qualifications

  • Bachelor’s degree in Computer Science, Statistics, Mathematics, or a related field. Advanced degree (Master's or Ph.D.) preferred

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