Data Scientist at Syngenta Group

Hyderabad, Telangana, India -

Full Time

Start Date

Immediate

Expiry Date

25 Jan, 26

Salary

0.0

Posted On

27 Oct, 25

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Data Science, Genomic Prediction, Plant Breeding, Genetics, Python, R, Machine Learning, SQL, Data Engineering, Cloud Platforms, Data Visualization, Business Acumen, Collaboration, Technical Documentation, Statistical Analysis, Project Management

Industry

Farming

Description

Company Description Syngenta Seeds Syngenta Seeds is one of the world’s largest developers and producers of seed for farmers, commercial growers, retailers and small seed companies. Syngenta seeds improve the quality and yields of crops. High-quality seeds ensure better and more productive crops, which is why farmers invest in them. Advanced seeds help mitigate risks such as disease and drought and allow farmers to grow food using less land, less water and fewer inputs. Syngenta Seeds brings farmers more vigorous, stronger, resistant plants, including innovative hybrid varieties and biotech crops that can thrive even in challenging growing conditions. Syngenta Seeds is headquartered in the United States. Job Description ROLE PURPOSE We are looking for a highly skilled and proactive scientist with solid experience in data science applied to the agriculture sector, especially in plant breeding, genomic prediction, and genetics. The ideal candidate is not only technically strong, but also business-driven, capable of translating business needs into analytical solutions, and communicating results in a clear and actionable way to both technical and non-technical stakeholders. The Data Scientist will play a strategic role in identifying high-impact opportunities, prioritizing projects based on value and feasibility, and ensuring the successful communication and delivery of data science outcomes across the organization. DELIVERABLES Collaborate with regional and global technical stakeholders to deepen the usage of genomic technologies in the company, applied to the Tropical Hub Knowledge transfer across technical teams, increasing data science fluency within the organization Data visualizations to deliver your results and drive business insights, using dashboards and visual analytics tools, such as Power BI, Tableau, R-Shiny, or Qlik Sense. Clear technical documentation and reproducible workflows to support research and cross-team collaboration. Performance reports and continuous improvement recommendations based on model evaluation and business feedback. Effective business storytelling: translate complex analytical results into strategic insights for leadership and functional teams. Project impact evaluations to prioritize initiatives and allocate resources efficiently. KEY ROLES Support local Applied Genomic Scientists in the development of automated data pipelines. Support local Applied Genomic Scientists the development of phenotypic and genotypic data analyses. Support Tropical Hub Applied Data Scientists evaluate data quality, and design experiments aligned with statistical best practices. Translate complex business questions into data science problems, delivering actionable insights and measurable results. Collaborate with breeders, data scientists, and applied genomic scientists to define project goals and success metrics. Evaluate project feasibility and business impact, providing input for prioritization and strategic decision-making. Foster a collaborative, insight-driven culture Qualifications Bachelor’s degree in agronomy, statistics, biotechnology, science and technology, computer science, computer engineering, or related fields. Master’s or PhD (preferred) in genetics, quantitative genetics, plant breeding, statistics, bioinformatics, data science or another relevant scientific field. Technical Skills: Solid experience in at least one of the following: genomic prediction and selection, quantitative genetics, molecular breeding, linear mixed models, artificial intelligence applied to plant breeding Proficient in Python and/or R, experience in ML frameworks is desired. Software version control and best practices using Git is a must. Solid understanding of SQL databases and data engineering principles Hands-on experience with cloud platforms (AWS, Azure, GCP) Experience using of visualization tools: R Shiny, Power BI, Tableau, Qlik Sense. Soft Skills & Business Acumen: Highly proactive, autonomous, and goal oriented. Ability to translate technical results into strategic business insights. Skilled in communicating with leadership and cross-functional teams Capable of assessing project value and impact to drive prioritization Comfortable working in fast-paced, multidisciplinary environments

Responsibilities

The Data Scientist will identify high-impact opportunities and prioritize projects based on value and feasibility. They will ensure successful communication and delivery of data science outcomes across the organization.