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Chief Data Scientist

2 weeks ago

Bengaluru, Karnataka, India Cloudbc Labs Full time ₹ 1,04,000 - ₹ 1,30,878 per year

Job Description Chief Data Scientist / Head of Data Science & Analytics

Location: India (flexible Bangalore/Mangalore/Remote)

Experience: 20+ years in R&D, Data Science, and Technology Leadership

About the Role

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 organizations 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.

  • Ph.D. or Masters 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.

Required Qualifications

  • Ph.D. or Masters 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.