Head - Data Science (15-18 yrs)

POSITION DESCRIPTION

Job Title: Head - Data Science

Reports to: CTO

ABOUT THE ORGANIZATION:

We are focused on emerging as a premier global provider of total crop solutions designed to secure the world's long-term food supply. Winning farmers' hearts across the globe, while leading the way with innovative products and services that make agriculture sustainable, we are among the fastest-growing companies in the industry. With a rich history of 50+ years and a presence in 120+ countries, our overarching commitment is to improve areas of our presence, workplace, and customer engagement.

Our purpose is to create an open agriculture network that feeds sustainable growth for all-no limits, no borders.

To build a sustainable food chain, we are working to create a future-ready, analytics-driven organization that will be even more efficient, innovative, and agile. We are setting up a "Digital and Analytics" Center of Excellence to work on disruptive projects that will have a meaningful impact on the planet. This initiative will help us reimagine our business to ensure the best outcomes for growers, consumers, employees, and the environment.

Join us to gain exposure to cutting-edge solutions in digital & advanced analytics, mentorship from senior leaders & domain experts, and access to a great work environment.

JOB RESPONSIBILITIES:

The Head of Data Science will leverage both management experience and technical expertise to lead teams of data scientists across multiple analytics, data science, and AI projects. This role involves conceptualizing, scoping, and delivering complex analytics projects while overseeing the development, testing, and maintenance of analytical models. The candidate will work closely with leadership and business units to drive impact through analytics and continuously identify opportunities for improvement within the analytics center of excellence.

Key Responsibilities:

- Define and manage analytics, data science, and AI strategy across multiple business verticals.

- Provide expertise in Machine Learning and Artificial Intelligence, contributing to model development, refinement, and implementation.

- Oversee teams of data scientists, resolving bottlenecks in project execution across manufacturing, supply chain, marketing, R&D, commercial, sales, and legal.

- Collaborate with business teams to develop and implement analytics solutions.

- Work closely with data engineering, application engineering, and enterprise architecture teams to implement scalable solutions.

- Communicate insights effectively to technical and non-technical audiences.

- Stay updated on the latest research and best practices in Data Science, Machine Learning, Deep Learning, Natural Language Processing, MLOps, and Generative AI.

- Drive a culture of knowledge-sharing, innovation, and continuous improvement within the team.

REQUIRED EDUCATION AND EXPERIENCE:

- Master's degree in Computer Science, Statistics, Mathematics, Operations Research, Economics, or a related field.

- Proficiency in programming in at least two languages.

- Strong theoretical and practical knowledge of advanced statistical algorithms, including machine learning, deep learning, MLOps, and AI algorithms, with exposure to GenAI, agentic workflows, and RAG.

- At least 15 years of experience in analytics.

- At least 4 years of experience managing analytics teams; experience in developing teams from scratch is a plus.

- Strong business acumen with experience in developing analytics solutions across 3-4 domains.

Required Skills:

- Ability to lead teams in agile environments involving multiple stakeholders.

- Strong communication skills to convey complex technical content to non-technical audiences.

- Proven ability to structure and lead complex analytics projects.

- Passionate about resolving business challenges through innovative solutions.

- Strong sense of ownership and ability to build consensus across teams.

- Transparent and trust-driven leadership approach.

Location: Bangalore

WHAT'S IN IT FOR YOU?

- Disruptive Projects:- Work on breakthrough digital and analytics projects aimed at transforming the organization. Contribute to deploying solutions that drive sales growth, improve profitability, enhance speed to market, optimize R&D efforts, and streamline internal operations.

- Cross-functional Leadership Exposure:- Work closely with top leadership and a cross-functional team spanning manufacturing, procurement, commercial, quality, IT/OT experts, and more. Gain insights into multiple business functions while leading strategic analytics initiatives.

- Professional and Personal Growth:- Thrive in a dynamic and meritocratic environment focused on delivering business value through innovation. Benefit from mentorship by domain experts, continuous feedback from a motivated team, and comprehensive training programs for ongoing development.

Join us on this transformational journey and be part of the future of Digital & Analytics!