Lead - Data Science

Job Description

ABOUT UPL:UPL is 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, UPL is the fastest growing company in the industry. UPL has a rich history of 50+ years with presence in 120+ countries. Based on the recognition that humankind is one community, UPL s overarching commitment is to improve areas of its presence, workplace, and customer engagement.Our purpose is OpenAg . An Open agriculture network that feeds sustainable growth for all. No limits, no borders.In order to create sustainable food chain, UPL is now working to build a future-ready, analytics-driven organization that will be even more efficient, more innovative, and more agile. We are setting up Digital and Analytics CoE to work on some disruptive projects that will have an impact that matters for the planet. It will help us reimagine our business to ensure the best outcomes for growers, consumers, employees, and our planet.Work with us to get 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 Data Science Lead will use both management experience and data science expertise to lead teams of data scientists across multiple analytics projects. This person will be an integral part of conceptualizing, scoping and delivering complex analytics projects. They will oversee the development, testing and maintenance of analytical models which mimic business decisions. This person will work closely with the CoE leadership and business units in delivering impact through analytics. Additionally, this person will be responsible for continuously identifying opportunities to improve the ways of working and structuring within the analytics center of excellence.
• Manage analytics strategy across multiple use cases
• Provides analytical expertise in the process of model development, refining and implementation in a variety of analytics problems spread across a variety of domains
• Oversees large teams of associate and mid level data scientists, de-bottlenecking issues related to project execution
• Work closely with translators and business teams to develop and implement analytics solutions
• Collaborate with data engineers & architects to implement and deploy scalable solutions
• Communicate results to diverse technical and non technical audiences
• Actively drive a culture of knowledge building and sharing within the team. Encourage continuous innovation and out of the box thinking.
REQUIRED EDUCATION AND EXPERIENCE:
• Master s degree in Computer Science, Statistics, Math, Operations Research, Economics or a related field
• Experience in programming in at least 2 languages
• Sound theoretical and practical knowledge of working with advanced statistical algorithms, including machine learning techniques
• At least 6 years of experience of working in analytics and leading teams
• Worked in developing analytics solutions in 3-4 domains
• Required Skills :
• Ability to lead teams in agile environments, with multiple stakeholders involved
• Ability to effectively communicate complex technical content to non-technical audience
• Successful track record of structuring and leading complex analytics projects
• Proactive and passionate about resolving pain points through great design
• Sees value in iterative approach to model development
• Strong sense of ownership and ability to build consensus
• Believes in culture of transparency and trust
Location: BangaloreWhat s in it for you
• Disruptive projects: Work on breakthrough digital-and-analytics projects to enable UPL s vision of building a future ready organization. It involves deploying solutions to help us increase our sales, sustain our profitability, improve our speed to market, supercharge our R&D efforts, and support the way we work internally. Help us ensure we have access to the best business insights that our data analysis can offer us.
• Cross functional leadership exposure: Work directly under guidance of functional leadership at UPL, on the most critical business problems for the organization (and the industry) today. It will give you exposure to a large cross-functional team (e.g.: spanning manufacturing, procurement, commercial, quality, IT/OT experts), allowing multi-functional learning in D&A deployment
• Environment fostering professional and personal development: Strengthen professional learning in a highly impact-oriented and meritocratic environment that is focused on delivering disproportionate business value through innovative solutions. It will be supported by on-the-job coaching from experienced domain experts, and continuous feedback from a highly motivated and capable set of peers. Comprehensive training programs for continuous development through UPLs D&A academy will help in accelerating growth opportunities.
Come join us in this transformational journey!Let s collectively Change the game with Digital & Analytics!,

Keyskills :
printer fleet managementcontinuous improvement facilitationuse casesdata sciencedata analysisbusiness unitscomputer science