Data Scientist

Hyderabad - India

Monthly Salary: Not Disclosed

Posted on: 15 days ago

Vacancies: 1 Vacancy

Job Summary

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 :

Bachelors degree in agronomy statistics biotechnology science and technology computer science computer engineering or related fields.
Masters 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

Remote Work :

Employment Type :

Full-time

ROLE PURPOSEWe 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 transla...

ROLE PURPOSE

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 :

Bachelors degree in agronomy statistics biotechnology science and technology computer science computer engineering or related fields.
Masters 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

Remote Work :

Employment Type :

Full-time

Key Skills

Laboratory Experience
Immunoassays
Machine Learning
Biochemistry
Assays
Research Experience
Spectroscopy
Research & Development
cGMP
Cell Culture
Molecular Biology
Data Analysis Skills

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About Company

Syngenta Group

To help feed 10 billion people while reducing emissions and improve biodiversity. This is our mission as the global agriculture technology leader. With 59,000 employees in more than 100 countries and hundreds of thousands of agricultural partners worldwide, we are committed to transfo ... View more

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