Role Purpose

The Data Scientist will utilize data science techniques to solve real-world problems to enable informed decisions to Crop Protection Development (CPD) and related divisions.
While partnering with other data scientists, developers, domain experts, product managers and other stakeholders Data Scientist will build various data science solutions by collecting, analysing, and interpreting large datasets, building algorithms and predictive models.
Will contribute to the development and enhancement of customer (farmer/grower) centric mobile application.

Accountabilities

With a focus on the Digital and Data Science critical initiatives for Crop Protection development (CPD) in India:

Collaborate with cross-functional teams to understand business requirements and design end-to-end solutions architecture for data science applications.
Utilize crop protection trial data, generate insights via dashboards, ML/DL/AI/LLM models that help field scientists, digital agronomists and product development heads to take informed decisions.
Perform statistical analyses of product performance data for towards CPD and business needs.
Work closely with Digital Agronomy team to automate field insights and query response for the field scientists, farmers, and commercial team.
Partner with AMEA and Global Technical Excellence and Quantitative Biology team for development, testing, and implementation of new methodologies and applications in data projects.
Use BITS and other tools and systems to provide information to CPD team in the form of data searches, queries, summaries, visualizations, analyses, and reports.
Build deep learning/image recognition based advisory tool for the farmers via Cropwise grower App.
Collaborate with data engineering team to seamlessly transition ML/AI innovations into scalable and reliable operational solutions.
Prepare technical reports and presentations to communicate results and insights to both technical and non-technical stakeholders.
Contribute to the development and testing of mobile application/enhancement on the application for various platforms like Android, iOS, or Windows.

Knowledge, Experience & Capabilities

Critical knowledge

Master’s or bachelor’s degree in data science, Computer Science, Machine Learning, Artificial Intelligence, Statistics, Mathematics, Engineering, or a related quantitative field.
More than 4 years of experience in Python/R programming, Web Scraping, Data Wrangling, Data Visualization/R Shiny/Dash, Machine Learning, Deep Learning, AI, NLP, LLM, SQL, WS/Google Cloud/Azure
At least 2 years of experience working in data science or related discipline in the agrochemical industry.

Critical experience

Good understanding of agriculture, field trials, crop protection, farmer focused applications and its elements
Strategic thinking, ability to understand customer needs, business potential in India.
Focused on customers and dedicated to meet the expectations and requirements of internal and external customers.
Broad understanding of digital tools, data analytics, ML, DL, AI, Data Visualization, web scraping, data summarization
Experience in NLP, LLM, Mobile application is an added advantage.
Strong communication skills to guide and influence stakeholders / organization to drive digital transformation.
Collaborative, inclusive and cross functional attitude.
Comfortable working in a matrix organization.
Proven track-record of delivering data science solutions in agrochemical industry

Critical technical, professional, and personal capabilities

Good people skills.
Excellent communication skills. Highly fluent in English.
Capability to drive and enthusiasm in product development.
Ability to motivate and lead others.
Ability to accept challenges and achieve results under pressure.
Good written, oral communication and presentation skills.
Good computer skills (including word processing, presentation preparation).
High level of integrity and self-motivation.

Critical leadership capabilities

Passion and enthusiasm for data science and its applications for agriculture
Medium to extensive experience in Big-Data analysis and reporting
Experience in operating independently in a complex matrix environment
Focused on customers and is dedicated to meeting the expectations and requirements of customers.

People are at the heart of what we do:

Once a year Full body check
Competitive insurance scheme
Employee assistance program – to take care of your and your loved ones mental health
Paid Vacation of 30days, 12 Paid Holidays, Maternity and Paternity Leave, compassionate leaves
Education assistance – for your career growth
People first culture translated into ‘Most Preferred place to work 2022-23 by Times group’

Note: Syngenta is an Equal Opportunity Employer and does not discriminate in recruitment, hiring, training, promotion or any other employment practices for reasons of race, color, religion, gender, national origin, age, sexual orientation, gender identity, marital or veteran status, disability, or any other legally protected status.

To learn more visit: www.syngenta.com and www.good-growth-plan

Data Scientist

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