Brief Description of position:
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 farmer's 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 Scientist will work as a core member of advanced analytics project delivery teams within the analytics Center of Excellence. This person will be responsible for conducting simple to complex statistical analyses using large datasets. They will be involved in building and re-iterating of advanced statistical and machine learning models. They will also work closely with an integrated analytics team including data engineers, translators and senior data scientists. They will be expected to familiarize themselves with a typical analytics project life cycle.
- Conducts advanced statistical analysis to provide actionable insights, identify trends, and measure performance
- Can build models using supervised/unsupervised learning techniques of varying complexity
- Understanding of data engineering techniques and concepts like pilot testing and execution is a good to have
- Collaborate with senior data scientists in building and delivering analytics models
- Communicate results to technical audience within an integrated analytics team
- Contribute to knowledge building and sharing by researching best practices, documenting solutions and continuously iterating on new ways to solve problems
REQUIRED EDUCATION AND EXPERIENCE:
- Bachelor's degree in Computer Science, Statistics, Math, Operations Research, Economics or a related field.
- Basic programming experience in 1 language
- Theoretical knowledge of advanced analytics techniques
- Experience in machine learning techniques preferred
- Hands on experience in solving analytics problems in at least 1 industry
Required Skills :
- Ability to work well in agile environments in diverse teams with multiple stakeholders
- Strong drive to learn and good organizational skills
- Ability to effectively communicate complex analytical and technical content
- High energy and passionate individual who can work closely with other team members
- Excited about trying new solutions outside standard methodologies
- Willing to adopt an iterative approach; experimental mindset to drive innovation
Location: Bangalore / Mumbai
What’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 UPL's 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!
