Senior Data Scientist

The Senior Data Scientist/Engineer will be responsible for building end-to-end data science solutions for projects across the Veg PS digital landscape. These responsibilities include but are not limited to:

• Partner with the crop teams and digital enablement teams to build statistical or machine learning solutions for projects in Vegetables Seeds Product Supply organization.
• Work closely with data engineers to build automation jobs and cloud-based pipelines for product supply projects.
• Demonstrate in-depth knowledge of data science tools and techniques to identify opportunities and develop data science products supporting organizational objectives and fulfill outcomes.
• Build and maintain cloud-based applications for deploying data science projects.
• Work closely with data engineers to build and maintain APIs for machine learning and data automation projects.
• Partner with crop science data engineering teams to align platform usage.
• Partner with digital transformation team to strategize and execute data integration and digital solutioning needs.
• Align and communicate effectively with stakeholders cross regionally and functionally to align on data analytics requirements and solutioning needs to produce enterprise level dashboards and data science products.
• Provide guidance mentorship and technical expertise to team members fostering a collaborative and innovative work environment.

Key Working relations: Crop Teams Globally Operations & Supply Teams globally Digital & Process Excellence Teams Data Engineers Data Analytics Experts Enterprise IT Teams Enterprise Data Science Teams Global SPI Commercial CX D&A Team CS Digital Strategy & Data Teams Global CS Engineering & Technology Teams

Skills & Experience:

• Masters or Ph.D in Computer Science Statistics Mathematics Data Science or related field or bachelors with minimum 5 years experience.
• Strong academic background in machine learning AI statistical modeling and data analysis.
• Familiarity with machine learning techniques such as kNN SVM tree-based methods.
• Good knowledge of statistical skills including hypothesis testing probability distributions maximum likelihood estimates Bayesian techniques.
• Proficiency in programming languages: R/Python JavaScript Java. Demonstrated expertise with deploying solutions on cloud platforms such as AWS/Azure/GCP.
• Good understanding of DevOps principles and CI/CD pipelines. Familiarity with technologies such as Docker Terraform CloudFormation GH Actions AWS Lambda EC2 ECS etc.
• Application and API development experience using technologies such as ReactJS Shiny NodeJS and FastAPI.
• Strong communication and stakeholder mgmt. skills to ensure business advise and influence at all levels across the organization.
• Professional knowledge on tools used within Vegetables Organization: Google Big Query Tibco Spotfire Tableau Business Objects and preferably at least one of the following IT systems and platforms: SAP Salesforce Power Automate.