Senior Machine Learning Scientist
Offer summary
Qualifications:
PhD in Computer Science, Data Science, or related field, or MSc with extensive ML experience., Proven experience in developing machine learning models such as supervised learning, clustering, and time series analysis., Strong programming skills in Python and familiarity with ML frameworks like scikit-learn and pandas., Interest in agriculture, environmental science, or related fields..Key responsibilities:
- Design and implement innovative machine learning solutions for agricultural and environmental challenges.
- Develop and optimize predictive models using diverse data sources.
- Collaborate with domain experts to translate problems into data science solutions.
- Support end-to-end ML projects from data preparation to deployment and monitoring.
Job description
Company Description
Syngenta Crop Protection is a leader in agricultural innovation, bringing breakthrough technologies and solutions that enable farmers to grow productively and sustainably. We offer a leading portfolio of crop protection solutions for plant and soil health, as well as digital solutions that transform the decisionmaking capabilities of farmers. Our 17,900 employees serve to advance agriculture in more than 90 countries around the world. Syngenta Crop Protection is headquartered in Basel, Switzerland, and is part of the Syngenta Group.
Our employees reflect the diversity of our customers, the markets where we operate and the communities which we serve. No matter what your position, you will have a vital role in safely feeding the world and taking care of our planet. Join us and help shape the future of agriculture!
Job Description
Type: Permanent
Business Unit: Global Data Analytics and Predictive Science Team
We have an exciting opportunity for data scientists specialized in machine learning with interests in agriculture and environment, to join our Global Data Analytics and Predictive Science Team! Within this role you will be working within Global Product Biology and across R&D functions to bring new insights for active ingredient development by developing predictive models, while guiding design, optimization and development of novel crop protection solution. In this role, you will not only apply existing ML approaches but also develop innovative solutions to unique agricultural challenges that havent been solved before. Responsibilities will include:
- Designing and implementing innovative machine learning solutions to solve complex agricultural and environmental challenges that often require novel approaches.
- Developing and optimizing predictive models using structured historical crossfunctional data from field trials, laboratory experiments, and environmental measurements.
- Translating agriculturalenvironmental problems into data science solutions in collaboration with domain experts.
- Supporting experimental design to ensure data suitability for modeling purposes.
- Working with IT teams on endtoend ML projects from data preparation to model deployment and monitoring.
- Presenting insights and recommendations to stakeholders across different functions.
- Engaging with highpriority digital transformation projects to understand opportunities to accelerate the impact of data science for predictive field trialing.
Qualifications
What we are looking for?
- PhD in Computer Science, Data Science, Machine Learning, or related field (or M.Sc. with extensive handson ML experience).
- Proven experience in developing machine learning models, particularly:
- Supervised learning (Random Forests, XGBoost, SVM etc.).
- Clustering and dimensionality reduction.
- Time series analysis.
- Handling hierarchicalnested data structures.
- Strong programming skills in Python and experience with ML frameworks (scikitlearn, pandas, etc.).
- Demonstrated ability to develop novel solutions beyond applying existing frameworks.
- Creative problemsolving mindset and ability to think outside standard approaches.
- Experience in adapting and modifying algorithms to suit specific problem requirements.
- Passion for emerging technologies, including Generative AI and other innovative approaches.
- Strong communication skills to explain technical concepts to nontechnical stakeholders.
- Ability to visualize and storytell with data to communicate results to parties with varying levels of technical proficiency.
- Interest in agriculture, environmental science, or related fields.
Desired Qualifications
- Experience with version control (Git) and ML experiment tracking.
- Experience working in crossfunctional teams.
- Familiarity with experimental design or statistical analysis.
- Experience with cloud computing platforms (AWS, Azure, etc.) and querying (e.g. SQL).
Additional InformationAdditional locations in Europe (Germany, France, Spain, Portugal, Italy, Poland) can be also considered.
Application & Recruitment Process
Take your chance!
Syngenta is proud of its unique culture and the values that are at the heart of it. We also foster a strong learning culture with plenty of opportunities for personal development. Why? Because our work matters! We offer a competitive salary package, flexible working hours and excellent benefits.
If you recognize yourself in the profile and would like to apply for this position, please upload your resume and motivation letter at www.syngenta.com. Due to exceptionally high interest in this position, we will only consider applications that include a covering letter explaining your motivation for the role and outlining your suitability. Upload your CV and write your cover letter in the “Message to the Hiring Team” section on the application page.
Are you ready to grow your career with us?
Syngenta Crop Protection is a leader in agricultural innovation, bringing breakthrough technologies and solutions that enable farmers to grow productively and sustainably. We offer a leading portfolio of crop protection solutions for plant and soil health, as well as digital solutions that transform the decisionmaking capabilities of farmers. Our 17,900 employees serve to advance agriculture in more than 90 countries around the world. Syngenta Crop Protection is headquartered in Basel, Switzerland, and is part of the Syngenta Group.
Our employees reflect the diversity of our customers, the markets where we operate and the communities which we serve. No matter what your position, you will have a vital role in safely feeding the world and taking care of our planet. Join us and help shape the future of agriculture!
Job Description
Type: Permanent
Business Unit: Global Data Analytics and Predictive Science Team
We have an exciting opportunity for data scientists specialized in machine learning with interests in agriculture and environment, to join our Global Data Analytics and Predictive Science Team! Within this role you will be working within Global Product Biology and across R&D functions to bring new insights for active ingredient development by developing predictive models, while guiding design, optimization and development of novel crop protection solution. In this role, you will not only apply existing ML approaches but also develop innovative solutions to unique agricultural challenges that havent been solved before. Responsibilities will include:
- Designing and implementing innovative machine learning solutions to solve complex agricultural and environmental challenges that often require novel approaches.
- Developing and optimizing predictive models using structured historical crossfunctional data from field trials, laboratory experiments, and environmental measurements.
- Translating agriculturalenvironmental problems into data science solutions in collaboration with domain experts.
- Supporting experimental design to ensure data suitability for modeling purposes.
- Working with IT teams on endtoend ML projects from data preparation to model deployment and monitoring.
- Presenting insights and recommendations to stakeholders across different functions.
- Engaging with highpriority digital transformation projects to understand opportunities to accelerate the impact of data science for predictive field trialing.
Qualifications
What we are looking for?
- PhD in Computer Science, Data Science, Machine Learning, or related field (or M.Sc. with extensive handson ML experience).
- Proven experience in developing machine learning models, particularly:
- Supervised learning (Random Forests, XGBoost, SVM etc.).
- Clustering and dimensionality reduction.
- Time series analysis.
- Handling hierarchicalnested data structures.
- Strong programming skills in Python and experience with ML frameworks (scikitlearn, pandas, etc.).
- Demonstrated ability to develop novel solutions beyond applying existing frameworks.
- Creative problemsolving mindset and ability to think outside standard approaches.
- Experience in adapting and modifying algorithms to suit specific problem requirements.
- Passion for emerging technologies, including Generative AI and other innovative approaches.
- Strong communication skills to explain technical concepts to nontechnical stakeholders.
- Ability to visualize and storytell with data to communicate results to parties with varying levels of technical proficiency.
- Interest in agriculture, environmental science, or related fields.
Desired Qualifications
- Experience with version control (Git) and ML experiment tracking.
- Experience working in crossfunctional teams.
- Familiarity with experimental design or statistical analysis.
- Experience with cloud computing platforms (AWS, Azure, etc.) and querying (e.g. SQL).
Additional InformationAdditional locations in Europe (Germany, France, Spain, Portugal, Italy, Poland) can be also considered.
Application & Recruitment Process
Take your chance!
Syngenta is proud of its unique culture and the values that are at the heart of it. We also foster a strong learning culture with plenty of opportunities for personal development. Why? Because our work matters! We offer a competitive salary package, flexible working hours and excellent benefits.
If you recognize yourself in the profile and would like to apply for this position, please upload your resume and motivation letter at www.syngenta.com. Due to exceptionally high interest in this position, we will only consider applications that include a covering letter explaining your motivation for the role and outlining your suitability. Upload your CV and write your cover letter in the “Message to the Hiring Team” section on the application page.
Are you ready to grow your career with us?
Type: Permanent
Business Unit: Global Data Analytics and Predictive Science Team
We have an exciting opportunity for data scientists specialized in machine learning with interests in agriculture and environment, to join our Global Data Analytics and Predictive Science Team! Within this role you will be working within Global Product Biology and across R&D functions to bring new insights for active ingredient development by developing predictive models, while guiding design, optimization and development of novel crop protection solution. In this role, you will not only apply existing ML approaches but also develop innovative solutions to unique agricultural challenges that havent been solved before. Responsibilities will include:
- Designing and implementing innovative machine learning solutions to solve complex agricultural and environmental challenges that often require novel approaches.
- Developing and optimizing predictive models using structured historical crossfunctional data from field trials, laboratory experiments, and environmental measurements.
- Translating agriculturalenvironmental problems into data science solutions in collaboration with domain experts.
- Supporting experimental design to ensure data suitability for modeling purposes.
- Working with IT teams on endtoend ML projects from data preparation to model deployment and monitoring.
- Presenting insights and recommendations to stakeholders across different functions.
- Engaging with highpriority digital transformation projects to understand opportunities to accelerate the impact of data science for predictive field trialing.
- PhD in Computer Science, Data Science, Machine Learning, or related field (or M.Sc. with extensive handson ML experience).
- Proven experience in developing machine learning models, particularly:
- Supervised learning (Random Forests, XGBoost, SVM etc.).
- Clustering and dimensionality reduction.
- Time series analysis.
- Handling hierarchicalnested data structures.
- Strong programming skills in Python and experience with ML frameworks (scikitlearn, pandas, etc.).
- Demonstrated ability to develop novel solutions beyond applying existing frameworks.
- Creative problemsolving mindset and ability to think outside standard approaches.
- Experience in adapting and modifying algorithms to suit specific problem requirements.
- Passion for emerging technologies, including Generative AI and other innovative approaches.
- Strong communication skills to explain technical concepts to nontechnical stakeholders.
- Ability to visualize and storytell with data to communicate results to parties with varying levels of technical proficiency.
- Interest in agriculture, environmental science, or related fields.
- Experience with version control (Git) and ML experiment tracking.
- Experience working in crossfunctional teams.
- Familiarity with experimental design or statistical analysis.
- Experience with cloud computing platforms (AWS, Azure, etc.) and querying (e.g. SQL).
Additional Information
Additional locations in Europe (Germany, France, Spain, Portugal, Italy, Poland) can be also considered.
Application & Recruitment Process
Take your chance!
Syngenta is proud of its unique culture and the values that are at the heart of it. We also foster a strong learning culture with plenty of opportunities for personal development. Why? Because our work matters! We offer a competitive salary package, flexible working hours and excellent benefits.
If you recognize yourself in the profile and would like to apply for this position, please upload your resume and motivation letter at www.syngenta.com. Due to exceptionally high interest in this position, we will only consider applications that include a covering letter explaining your motivation for the role and outlining your suitability. Upload your CV and write your cover letter in the “Message to the Hiring Team” section on the application page.
Are you ready to grow your career with us?
Desired Qualifications
Qualifications
What we are looking for?
Required profile
Experience
Hard Skills
Other Skills
- Teamwork
- Communication
- Problem Solving
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