Data Scientist

Casablanca - Morocco

Monthly Salary: Not Disclosed

Posted on: 12 hours ago

Vacancies: 1 Vacancy

Job Summary

Lead data exploration and analytics initiatives by connecting and analyzing diverse data sources (trials imagery sensors drones satellite ) to extract valuable insights
Own end-to-end data analytics processes including extraction processing analysis reporting modeling deployment and visualization
Develop and deploy automated data processing pipelines to streamline analysis workflows across multiple data sources
Apply predictive analytics machine learning and AI techniques to create innovative solutions that drive business value
Collaborate cross-functionally with Global and Regional stakeholders to deliver cost-effective stable and performant data science solutions aligned with business needs
Stay current with emerging data analytics and ML technologies implementing new methodologies to enhance existing processes
Foster a culture of innovation and creativity while enabling data-driven decision making through advanced predictive modeling solutions.

Accountabilities

Maintain and enforce data science best practices while collaborating with Product Biology Digital Data Quality teams on Statistical Data Science Digital and ML projects.
Drive continuous improvement of Data Science methods through Regional and Global team coordination particularly in transitioning to big-data agricultural applications.
Create comprehensive documentation and deliver training materials/courses for new tools and data projects to end users when needed
Provide technical support and expertise in Data Analytics Predictive Modeling Data Science Machine Learning and AI across European Regional and Global teams.
Transform stakeholder requirements into actionable solutions through use cases test cases and iterative development of algorithms and tools. Develop and validate features by consolidating internal/external databases and working closely with different stakeholders
Maintain technical excellence through continuous learning in Data Science Deep Learning ML engineering and AI while collaborating with MLOps/Product/Dev teams to deliver business impact

Qualifications :

. or Ph.D. in statistics Applied mathematics Data Science Machine Learning computer sciences physics or natural sciences (e.g. biology chemistry agronomy)
Deep expertise in data analytics applied to biology agronomy and crop protection with strong proficiency in Python programming and package development
Comprehensive knowledge of Big Data technologies cloud-based ecosystems and database query languages (SQL) along with experience in version control systems
Proven expertise in Machine/Deep Learning algorithms and related Python libraries including model development deployment and monitoring Familiar with building and deploying data pipelines
Proficiency in BI tools (Power BI Spotfire Tableau or Qlik Sense) with emphasis on Power BI
Demonstrated ability to extract meaningful insights from complex noisy data while maintaining high accuracy standards
Strong communication skills in English with experience working effectively in diverse international teams
Self-driven professional with strong problem-solving abilities displaying autonomy and initiative while maintaining an agile mindset focused on stakeholder-oriented delivery

Other Behaviours Critical for role

Show autonomy initiative efficiency problem solving

Syngenta Leadership Capabilities

Execution and Results Orientation
Manages work performance to efficiently complete responsibilities. Demonstrates initiative and a strong commitment to achieving meaningful results meeting or exceeding goals and acting on opportunities to create value.
Judgment
Analyze problems to make effective and sound decisions.
Focuses on customers
Dedicated to meeting the expectations and requirements of internal and external customers.
Manages for performance - Skillfully plans organizes and monitors performance to create value and achieve excellence in delivery.
Engage and inspire - Fosters personal achievement and excellence. Encourage high standards of performance in others.

Additional Information :

Some travel mostly in Europe
Employee may as part of his/her role and maybe through multifunctional teams participate in the creation and design of innovative this context
Employee may contribute to inventions designs other work product including know-how copyrights software innovations solutions and other intellectual assets.

Remote Work :

Employment Type :

Full-time

Lead data exploration and analytics initiatives by connecting and analyzing diverse data sources (trials imagery sensors drones satellite ) to extract valuable insightsOwn end-to-end data analytics processes including extraction processing analysis reporting modeling deployment and visualizationDeve...

Lead data exploration and analytics initiatives by connecting and analyzing diverse data sources (trials imagery sensors drones satellite ) to extract valuable insights
Own end-to-end data analytics processes including extraction processing analysis reporting modeling deployment and visualization
Develop and deploy automated data processing pipelines to streamline analysis workflows across multiple data sources
Apply predictive analytics machine learning and AI techniques to create innovative solutions that drive business value
Collaborate cross-functionally with Global and Regional stakeholders to deliver cost-effective stable and performant data science solutions aligned with business needs
Stay current with emerging data analytics and ML technologies implementing new methodologies to enhance existing processes
Foster a culture of innovation and creativity while enabling data-driven decision making through advanced predictive modeling solutions.

Accountabilities

Maintain and enforce data science best practices while collaborating with Product Biology Digital Data Quality teams on Statistical Data Science Digital and ML projects.
Drive continuous improvement of Data Science methods through Regional and Global team coordination particularly in transitioning to big-data agricultural applications.
Create comprehensive documentation and deliver training materials/courses for new tools and data projects to end users when needed
Provide technical support and expertise in Data Analytics Predictive Modeling Data Science Machine Learning and AI across European Regional and Global teams.
Transform stakeholder requirements into actionable solutions through use cases test cases and iterative development of algorithms and tools. Develop and validate features by consolidating internal/external databases and working closely with different stakeholders
Maintain technical excellence through continuous learning in Data Science Deep Learning ML engineering and AI while collaborating with MLOps/Product/Dev teams to deliver business impact

Qualifications :

. or Ph.D. in statistics Applied mathematics Data Science Machine Learning computer sciences physics or natural sciences (e.g. biology chemistry agronomy)
Deep expertise in data analytics applied to biology agronomy and crop protection with strong proficiency in Python programming and package development
Comprehensive knowledge of Big Data technologies cloud-based ecosystems and database query languages (SQL) along with experience in version control systems
Proven expertise in Machine/Deep Learning algorithms and related Python libraries including model development deployment and monitoring Familiar with building and deploying data pipelines
Proficiency in BI tools (Power BI Spotfire Tableau or Qlik Sense) with emphasis on Power BI
Demonstrated ability to extract meaningful insights from complex noisy data while maintaining high accuracy standards
Strong communication skills in English with experience working effectively in diverse international teams
Self-driven professional with strong problem-solving abilities displaying autonomy and initiative while maintaining an agile mindset focused on stakeholder-oriented delivery

Other Behaviours Critical for role

Show autonomy initiative efficiency problem solving

Syngenta Leadership Capabilities

Execution and Results Orientation
Manages work performance to efficiently complete responsibilities. Demonstrates initiative and a strong commitment to achieving meaningful results meeting or exceeding goals and acting on opportunities to create value.
Judgment
Analyze problems to make effective and sound decisions.
Focuses on customers
Dedicated to meeting the expectations and requirements of internal and external customers.
Manages for performance - Skillfully plans organizes and monitors performance to create value and achieve excellence in delivery.
Engage and inspire - Fosters personal achievement and excellence. Encourage high standards of performance in others.

Additional Information :

Some travel mostly in Europe
Employee may as part of his/her role and maybe through multifunctional teams participate in the creation and design of innovative this context
Employee may contribute to inventions designs other work product including know-how copyrights software innovations solutions and other intellectual assets.

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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