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