Improve the quality and yields of crops High-quality seeds ensure better and more risks such as disease and drought and allow farmers to grow food using less land, less

• As a Data Science Summer Intern, you will support Company’s machine learning applications for plant breeding decision making
• You will perform exploratory data science tasks—querying, cleaning, and engineering features from real-world datasets—and build, tune, and evaluate predictive models
• You will use Python packages such as LightGBM, XGBoost, sklearn, and pyspark; and write unit tests with pytest and unittest
• You will also work with SQL and contribute to code that is tested, maintained, and deployed in a cloud-based production environment
• This internship provides the opportunity to apply your analytical and technical skills, collaborate with experienced data scientists, and present your findings to diverse stakeholders
• Query, clean, and preprocess large datasets from diverse sources
• Engineer features and build predictive models using LightGBM, XGBoost, sklearn, and pyspark in Python, as well as SQL
• Tune model hyperparameters and evaluate model performance
• Write unit tests for data science and machine learning code using pytest and unittest
• Collaborate in deploying machine learning code to production cloud environments
• Document and present analysis, findings, and recommendations to technical and non-technical audiences
• Work closely with data scientists, engineers, and stakeholders to understand project requirements
• Participate in team meetings and contribute to project planning

Location: Hybrid Role in Durham/Research Triangle Park, NC or Slater, Iowa

• Completed coursework in data science, statistics, and linear algebra
• Proficient in Python and SQL for data analysis and modeling
• Experience with data cleaning, feature engineering, and model building
• Strong analytical and problem-solving skills
• Ability to communicate technical concepts clearly
• Enthusiasm for learning and applying new technologies

Ability to work independently and as part of a team

• Currently pursuing a Bachelor’s or Master’s degree in Data Science, Computer Science, Statistics, Mathematics, or a related field

Experience working with LightGBM, XGBoost, sklearn, pyspark, and pytest religion, gender, national origin, age, sexual orientation, marital or veteran status,

• Advanced seeds help mitigate

A culture that celebrates diversity & inclusion, promotes professional development, and strives for a work-life balance that supports the team

• Offers flexible work options to support your work and personal needs
• Full Benefit Package (Medical, Dental & Vision) that starts your first day
• 401k plan with company match, Profit Sharing & Retirement Savings
• Paid Vacation, Paid Holidays, Maternity and Paternity Leave, Education

Assistance, Wellness Programs, Corporate Discounts, among other benefits