Python Programming, Git, Azure, AWS, Cloud computing, Machine learning techniques, Deep Learning, TensorFlow, Docker, Google Cloud Platform (GCP), CUDA/GPU programming, Data Engineering, Statistical modeling, H2O
We are actively seeking an innovative Data Scientist to join the Predictive Breeding Analytics team within our rapidly growing CropOS Department. The successful candidate will be responsible for designing and implementing state-of-the-art machine learning and simulation models to support decision making related to crop breeding. This person will work closely with Benson Hill scientists, data engineers, and project leaders to maximize the impact of Benson Hill’s breeding and product development programs.?
YOU WILL:
(ESSENTIAL DUTIES AND RESPONSIBILITIES)
YOU HAVE:
(COMPETENCIES AND QUALIFICATIONS)
EDUCATION
EXPERIENCE
SOFTWARE/SKILLSET
OTHER
PREFERENCE GIVEN TO APPLICANTS WITH THE FOLLOWING SKILLS
WE HAVE A TOTAL REWARDS PACKAGE AT BENSON HILL THAT CONSISTS OF MORE THAN JUST YOUR PAYCHECK. TOTAL REWARDS AT BENSON HILL COVERS PAY (SALARY AND BONUS), HEALTH (EMPLOYER BENEFIT CONTRIBUTIONS) AND WEALTH (INVESTMENTS). SOME OF THE PERKS INCLUDE:
Benson Hill empowers innovators to develop more healthy, tasty and sustainable food by unlocking the natural genetic diversity of plants. Benson Hill’s CropOS™ platform combines machine learning and big data with advanced breeding techniques and plant biology to drastically accelerate and simplify the product development process. The CropOS platform allows for more efficient product discovery and development for companies.