Job Description:
Job Title: Chief Data Scientist / Head of Data Science & Analytics
Experience: 20+ Years
Location: Remote
Role Overview:
We are seeking a visionary Chief Data Scientist / Head of Data Science & Analytics to lead our data-driven transformation initiatives. The ideal candidate will bring a unique blend of deep technical expertise, business acumen, and leadership experience across engineering, AI/ML, and enterprise analytics. This leader will be responsible for building and scaling data science capabilities, driving innovation in predictive & prescriptive analytics, and engaging with C-suite stakeholders to deliver measurable business outcomes.
Key Responsibilities:
- Leadership & Strategy
- Define and execute the organization’s data science and AI strategy in alignment with business objectives.
- Lead cross-functional global teams of data scientists, data engineers, and analysts.
- Build and scale Centers of Excellence (CoEs) in supply chain analytics, AI/ML, and digital transformation.
- Business & Consulting
- Engage with C-level executives to shape analytics roadmaps, secure business opportunities, and drive adoption of AI-led solutions.
- Provide go-to-market consulting and develop data-driven business models to support growth.
- Drive multimillion-dollar analytics initiatives, ensuring ROI and measurable business impact.
- Technical Expertise
- Oversee development and deployment of predictive and prescriptive models for supply chain optimization, reliability engineering, and enterprise systems.
- Guide teams in designing scalable data platforms, dashboards, and visualization solutions for decision-making.
- Leverage expertise in big data analytics, machine learning, and optimization techniques to solve complex business challenges.
- Innovation & R&D
- Drive innovation in AI/ML, reliability engineering, and advanced optimization for next-gen solutions.
- Collaborate with academia and industry partners to explore emerging technologies, including Generative AI applications.
- Contribute to intellectual property, research publications, and technology patents where applicable.
Required Skills & Qualifications:
·
- Ph.D. or Master’s degree in Engineering, Data Science, Computer Science, Applied Mathematics, or related field.
- 20+ years of experience spanning engineering R&D, reliability, supply chain analytics, and data science.
- Proven track record in building and leading data science organizations, driving digital transformation, and securing large-scale business deals.
- Hands-on expertise in statistical modeling, predictive analytics, optimization techniques, and big data platforms.
- Strong background in hardware reliability engineering, system diagnostics, and product innovation (preferred for cross-domain leadership).
- Certifications in AI/ML, Generative AI, or Data Science (Coursera, LinkedIn, etc.) are a plus.
Skills & Competencies
- Strategic Leadership – ability to align AI/analytics initiatives with business priorities.
- Enterprise Consulting – experience engaging with global clients at VP & C-suite levels.
- People Leadership – team building, mentorship, and global workforce management.
- Technical Expertise – ML/AI, data engineering, visualization (Tableau, R/Shiny), optimization, reliability engineering.
- Entrepreneurial Mindset – experience in startup ecosystem and consulting leadership.
Job Type: Full-time
Pay: ₹4,000,000.00 - ₹6,000,000.00 per year
Benefits:
- Health insurance
- Provident Fund
- Work from home
Work Location: Remote