Data Scientist II

Confluence Genetics LLC • Full-time • Saint Louis, Missouri, United States • $96.42k - $127.78k / year • 2d ago

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/.

Our Purpose and Core Values

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..

Department Overview

The CropOS and Discovery Department leads the development of Confluence Genetics' crop design platform, CropOS™ which combines machine learning and big data with advanced breeding methods, genome editing and plant biology to simplify and accelerate the product development process. The team partners with the Product Design & Product Development teams to build a portfolio of offerings (commercial product or platform related) that meet the needs of Confluence Genetics' business units.

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.

You Will:

Support the identification of opportunities for innovation and business improvements through applications of machine learning and simulation.
Develop and implement machine learning prediction and classification models under the guidance of senior team members.
Assist in designing experiments, analyses, pipelines, and workflows to address business and scientific challenges.
Collaborate with internal teams, including scientists from other disciplines, data and software engineers, and project leaders.
Communicate results effectively in written and visual formats to scientists and project stakeholders.
Contribute to maintaining code quality, organization, and automation through writing unit tests and participating in code reviews.
Support the development of scalable engineering solutions for data gathering and integration of structured and unstructured datasets.
Assist in engineering cloud-deployed software solutions to enable data and analytics pipelines.
Participate in improving code quality through automation and code reviews.
Contribute ideas to enhance technology, coding standards, and products.
Perform other duties as assigned.

You Have:

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.

Other

Attention to detail.
Collaborative mindset and ability to work in a team environment.
Ability to work independently on assigned tasks with moderate direction.
Enthusiasm for learning and applying machine learning technologies.
Commitment to personal development and learning new skills.

We have a Total Rewards Package at Confluence Genetics that consists of more than just your paycheck. Total Rewards at Confluence Genetics covers Pay (salary and bonus), Health (employer benefit contributions) and Wealth (investments). Some of the perks include: