ABOUT CONFLUENCE GENETICS

Confluence Genetics develops soybean technologies and varieties that create value from farm-gate to feed, food and fuel end-markets by unlocking the natural genetic diversity of plants. The Company leverages their proprietary CropOS™ machine learning platform with proprietary germplasm data and speed breeding technologies in our Crop Accelerator facility to drastically accelerate and simplify the product development process. This platform allows for cost-effective and more efficient ways to analyze and make improvements in plant genetics. Confluence Genetics brings a unique and holistic approach to our product and platform development, as we span a broader workflow involving trait and seed development, genome editing, and breeding all the way to creating better ingredients and varieties that tap a strong customer demand. More information can be found online at https://confluence.ag/.

POSITION SUMMARY

The Data Scientist II will contribute to the development and application of machine learning and simulation models to support decision-making in crop breeding. This role will work under the guidance of senior scientists and collaborate with data engineers, scientists, and project leaders to enhance Confluence Genetics’ breeding and product development programs.

EDUCATION

• PHD or Master’s degree in machine learning, data science, computer science, or a closely related field with 2–3 years of relevant experience.

EXPERIENCE

• Experience applying machine learning methodologies in at least one domain with clear business or research objectives.
• Familiarity with designing and implementing simulation or optimization models for research or business applications.
• Experience with benchmarking and evaluating model performance.
• Exposure to machine learning packages and libraries such as TensorFlow, H2O.ai, or similar, and familiarity with cloud-based AI platforms like Amazon SageMaker.
• Ability to manage multiple tasks and contribute to complex projects in a collaborative setting.

SOFTWARE/SKILLSET

• Proficiency in Python and familiarity with at least one additional programming language.
• Basic understanding of data engineering, data storage methodologies, and cloud technology platforms like AWS.
• Knowledge of fundamental machine learning, data engineering, and statistical approaches.
• Understanding of scientific concepts, approaches, application, and interpretation.

Our Core Values are a set of common principles we share that are fundamental to our company’s identity. Real. Inspired!

• Real. We show up with honesty, accountability, and purpose. We lead with integrity and speak with candor, knowing that trust and transparency drive performance. We challenge each other respectfully and stay grounded in what matters—our shared mission and one another.
• Inspired! We’re driven by possibility and energized by progress. With open minds and a bold spirit, we embrace change, take smart risks, and push boundaries. We stay curious, creative, and connected—to each other, our partners, and the future we’re building together..