Senior Data Scientist

Company Description

Syngenta is a global leader in agriculture; rooted in science and dedicated to bringing plant potential to life. Each of our 28,000 employees in more than 90 countries work together to solve one of humanity’s most pressing challenges: growing more food with fewer resources. A diverse workforce and an inclusive workplace environment are enablers of our ambition to be the most collaborative and trusted team in agriculture. Our employees reflect the diversity of our customers, the markets where we operate and the communities which we serve. Join us and help shape the future of agriculture.

Job Description

Join our dynamic and innovative global team as a Data Scientist, where you will have the opportunity to empower farmers with cutting-edge, data-driven solutions. As a key player in our multidisciplinary team, you will work closely with Data Scientists, Data Engineers, and MLOps specialists to design and deploy state-of-the-art ML systems. From discovery to deployment, you will drive the roadmap, design, automation, and streamlining of our Machine Learning operations, bringing your expertise in Data Science to solve complex problems and ensuring the implementation of best practices.

• We all have a critical role to play and add value. Here is how this role will help:
• Design, develop, experiment, and evaluate AI/ML models to address Seeds Development challenges
• Build and advance our ML platform in collaboration with talented teams of specialists
• Play a key role in deploying new ML capabilities and services for our product teams
• Become a subject matter expert in ML design and implementation, promoting best practices
• Contribute to a positive and collaborative team culture, focused on technical excellence and innovation.

Qualifications

At our company, we prioritize our people and seek professionals who are passionate, collaborative, and excel in their execution. Leaders are expected to communicate effectively, develop teams and lead by example. Our industry and our function are changing rapidly so we seek team members with a strong desire to develop themselves. You will be a great fit if you have:

A Ph.D. or Master's degree in Computer Science, Machine Learning, Artificial Intelligence, Mathematics, Engineering, or a related quantitative field, with at least 10 years of experience in Deep Learning, Machine Learning, programming, data modeling, evaluation, probability, and high-dimensional datasets

• Experience with cloud computing platforms such as AWS, GCP, or Azure
• Experience with MLFlow, Kubeflow, Sagemaker, Vertex AI, or equivalent
• Experience with machine learning frameworks such as Tensorflow, Pytorch, or Keras
• Proficiency in coding (Python, Java, C#, C/C++) and scripting (Python, R, Matlab)
• In-depth knowledge of feature stores, graph databases, SQL, NoSQL, data lakes, and other data storage technologies
• Expertise in data visualization tools such as Qlik, Spotfire, or Power BI
• Excellent written and verbal communication skills
• A strong ability to collaborate effectively with technical resources in a fast-paced environment
• A problem-solving mindset with the ability to rapidly deliver innovative solutions
• Experience working in cross-functional Agile engineering teams
• Strong overall software development approach. You deliver clean, well-tested code.

Additional Information

• Full Benefit Package (Medical, Dental & Vision) that starts the same day you do
• 401k plan with company match, Profit Sharing & Retirement Savings Contribution 
• Paid Vacation, 9 Paid Holidays, Maternity and Paternity Leave, Education Assistance, Wellness Programs, Corporate Discounts among others
• A culture that promotes work/life balance, celebrates diversity and offers numerous family-oriented events throughout the year

Syngenta is an Equal Opportunity Employer and does not discriminate in recruitment, hiring, training, promotion or any other employment practices for reasons of race, color, religion, gender, national origin, age, sexual orientation, marital or veteran status, disability, or any other legally protected status.

Family and Medical Leave Act (FMLA) 
(http://www.dol.gov/whd/regs/compliance/posters/fmla.htm)

Equal Employment Opportunity Commission's (EEOC)
(http://webapps.dol.gov/elaws/firststep/poster_direct.htm)

Employee Polygraph Protection Act (EPPA)
(http://www.dol.gov/whd/regs/compliance/posters/eppa.htm)

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