Applied Scientist - Pipeline Data Science
- Type: Permanent
- Department: Seeds Development / Vegetables
- Location: Enkhuizen NL RTP - US
Into action
Do you thrive at the intersection of data engineering predictive analytics and innovation As our Applied Scientist - Pipeline Data Science you will play a crucial role in designing scalable data solutions that drive actionable insights. By consolidating complex datasets into robust efficient pipelines youll empower teams to make better decisions and uncover new possibilities in plant breeding. This is your opportunity to work on impactful projects in a collaborative and cutting-edge environment where data drives transformation.
The challenge
As an Applied Scientist youll focus on building the infrastructure that makes data accessible reliable and actionable for diverse stakeholders. Your key responsibilities will include:
- Building Scalable Data Pipelines: Design implement and optimize data pipelines that integrate and consolidate data from multiple sources ensuring seamless data flow and availability.
- Ensuring Data Quality and Reliability: Contribute to data mining curation analytics and visualization of data sets to gain deep understanding of the crop(s) and enable successful application of technology
- Driving Data Modeling and Mining: Create and implement processes for advanced data modeling and mining to support innovative analytical approaches.
- Collaborating Across Teams: Work closely with IT applied data science teams and business stakeholders to align data solutions with organizational goals addressing unique data needs efficiently.
- Identify opportunities to incorporate advanced analytics including machine learning frameworks and cloud platforms to continuously improve predictive pipelines.
- Influence adoption of genomic prediction methods contribute towards their integration in the breeding process and the transformation of respective breeding schemes
This role combines creativity and problem-solving with a focus on real-world applications. Youll not only shape the way data is managed but also contribute to meaningful outcomes in plant breeding and sustainable agriculture. Every dataset you refine and every system you enhance will drive smarter decisions and impactful innovations.
Qualifications :
Your profile
We seek a detail-oriented Applied Scientist with a Masters in Computer Science Statistics Applied Mathematics Quantitative Genetics or related fields. You combine strong technical skills analytical insight and a collaborative mindset.
- Programming: Skilled in Python R SQL; experienced with relational and NoSQL databases.
- Cloud: Familiar with AWS services and infrastructure.
- Analytics: Able to uncover patterns in large datasets and translate findings into actionable recommendations.
- Collaboration: Effective team player able to communicate technical concepts to diverse stakeholders.
- Bonus: Experience with Docker/Kubernetes machine learning frameworks (Keras PyTorch scikit-learn) and interest in plant breeding or agricultural innovation.
Additional Information :
What is in it for you
- The opportunity to receive an annual bonus and profit-sharing we celebrate success together!
- Flexible working options where possible to support a healthy work-life balance including the ability to work from up to 2 days per week from home.
- Grow and thrive unlimited access to Learning Edge our online learning platform where you can continuously develop yourself through various training programs and courses.
- Access to our Employee Assistance Program (EAP) offering free advice coaching and support in areas such as career development emotional support and legal or financial advice.
- 25 vacation days 1 vitality day to recharge. From the age of 35 you will receive an extra vacation day every 5 years.
- An attractive pension plan because your future matters to us.
- If you live more than 5 km away you will receive a travel allowance of 0.23 per km up to a maximum of 50 km one way.
Take your chance!
At Syngenta we believe in creating an inclusive and diverse work environment where all employees are valued and given the opportunity to grow. We offer a competitive salary and a comprehensive package of secondary employment benefits.
Apply online today at . For questions you can contact our recruiter Nienke Terluin at .
Remote Work :
No
Employment Type :
Full-time
Applied Scientist - Pipeline Data ScienceType: Permanent Department: Seeds Development / VegetablesLocation: Enkhuizen NL RTP - USInto actionDo you thrive at the intersection of data engineering predictive analytics and innovation As our Applied Scientist - Pipeline Data Science you will play a cru...
Applied Scientist - Pipeline Data Science
- Type: Permanent
- Department: Seeds Development / Vegetables
- Location: Enkhuizen NL RTP - US
Into action
Do you thrive at the intersection of data engineering predictive analytics and innovation As our Applied Scientist - Pipeline Data Science you will play a crucial role in designing scalable data solutions that drive actionable insights. By consolidating complex datasets into robust efficient pipelines youll empower teams to make better decisions and uncover new possibilities in plant breeding. This is your opportunity to work on impactful projects in a collaborative and cutting-edge environment where data drives transformation.
The challenge
As an Applied Scientist youll focus on building the infrastructure that makes data accessible reliable and actionable for diverse stakeholders. Your key responsibilities will include:
- Building Scalable Data Pipelines: Design implement and optimize data pipelines that integrate and consolidate data from multiple sources ensuring seamless data flow and availability.
- Ensuring Data Quality and Reliability: Contribute to data mining curation analytics and visualization of data sets to gain deep understanding of the crop(s) and enable successful application of technology
- Driving Data Modeling and Mining: Create and implement processes for advanced data modeling and mining to support innovative analytical approaches.
- Collaborating Across Teams: Work closely with IT applied data science teams and business stakeholders to align data solutions with organizational goals addressing unique data needs efficiently.
- Identify opportunities to incorporate advanced analytics including machine learning frameworks and cloud platforms to continuously improve predictive pipelines.
- Influence adoption of genomic prediction methods contribute towards their integration in the breeding process and the transformation of respective breeding schemes
This role combines creativity and problem-solving with a focus on real-world applications. Youll not only shape the way data is managed but also contribute to meaningful outcomes in plant breeding and sustainable agriculture. Every dataset you refine and every system you enhance will drive smarter decisions and impactful innovations.
Qualifications :
Your profile
We seek a detail-oriented Applied Scientist with a Masters in Computer Science Statistics Applied Mathematics Quantitative Genetics or related fields. You combine strong technical skills analytical insight and a collaborative mindset.
- Programming: Skilled in Python R SQL; experienced with relational and NoSQL databases.
- Cloud: Familiar with AWS services and infrastructure.
- Analytics: Able to uncover patterns in large datasets and translate findings into actionable recommendations.
- Collaboration: Effective team player able to communicate technical concepts to diverse stakeholders.
- Bonus: Experience with Docker/Kubernetes machine learning frameworks (Keras PyTorch scikit-learn) and interest in plant breeding or agricultural innovation.
Additional Information :
What is in it for you
- The opportunity to receive an annual bonus and profit-sharing we celebrate success together!
- Flexible working options where possible to support a healthy work-life balance including the ability to work from up to 2 days per week from home.
- Grow and thrive unlimited access to Learning Edge our online learning platform where you can continuously develop yourself through various training programs and courses.
- Access to our Employee Assistance Program (EAP) offering free advice coaching and support in areas such as career development emotional support and legal or financial advice.
- 25 vacation days 1 vitality day to recharge. From the age of 35 you will receive an extra vacation day every 5 years.
- An attractive pension plan because your future matters to us.
- If you live more than 5 km away you will receive a travel allowance of 0.23 per km up to a maximum of 50 km one way.
Take your chance!
At Syngenta we believe in creating an inclusive and diverse work environment where all employees are valued and given the opportunity to grow. We offer a competitive salary and a comprehensive package of secondary employment benefits.
Apply online today at . For questions you can contact our recruiter Nienke Terluin at .
Remote Work :
No
Employment Type :
Full-time
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