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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, General CS Engineering & Technology Teams
Skills & Experience:
Master’s or Ph.D in Computer Science, Statistics, Mathematics, Data Science, or related field or bachelor's 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.
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. xhfqzwm
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.
Application Period:
18.
Reference Code:

Division:
Crop Science
Location:
Spain : Cataluña : Barcelona
Functional Area:
Information Technology
Position Grade:
VS 1.2
Employment Type:
Regular
Work Time:
Full Time
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