Data Scientists

Job Title

Data Scientist Intern

Job Location

Chesterfield, MO, Midwest United States, USA

Job Overview

At Bayer, we're visionaries, driven to solve the world's toughest challenges and striving for a world where 'Health for all Hunger for none' is no longer a dream, but a real possibility. As a Data Scientist Intern, you will work collaboratively with interdisciplinary scientists, IT, and engineering professionals to apply modern AI/ML techniques, answer sustainability-related questions, and support the development of sustainability-focused product concepts. This is a valuable opportunity to contribute to innovative ideas and gain experience in AI/ML modeling technology.

Compensation

Competitive

Responsibilities

• Provide technical contributions in a fast-paced team environment to accelerate efforts in developing novel sustainability-focused product concepts using AI/ML techniques.
• Perform statistical analyses, computer programming, predictive modeling, and experimental design independently.
• Build cross-functional relationships and collaborate with the business to effectively network within the local Data Science Community.
• Utilize advanced mathematical models, machine learning algorithms, AI models, operations research techniques, and business acumen to deliver insight, recommendations, and solutions.
• Analyze existing data sets from within the organization and partner organizations.
• Develop impactful reporting on model inputs, outputs, observed outputs, business impact, and key performance indicators.
• Present compelling stories with validated data to peers, managers, and internal customers to drive strategic and operational changes in the business.

Requirements

• Currently pursuing an undergraduate or graduate degree in Computer Science, Mathematics, Physics, Engineering, or other quantitative disciplines.
• Strong background in Machine learning with expertise in tree-based methods, Monte Carlo simulations, stochastic modeling, estimation and prediction, recommender systems, boosting and bagging techniques, Bayesian analysis, deep learning, reinforcement learning, large language models, transformers, and mathematical optimization.
• Experience applying Machine learning/optimization to solve large-scale real-world problems.
• Preferred qualifications: 2 years of experience with R, Python, Java, Scala, or C/C, 1 year of experience with scikit learn and pandas (or equivalent tools), 1 year of experience with querying data languages (e.g., Hive/Pig/SQL) and/or experience with Infrastructure as a Service such as AWS and Google Cloud.
• Creative, proactive, bold, and out-of-box thinking.
• Proven ability to communicate complex qualitative analysis in a clear, precise, and actionable manner.
• Strong organizational, interpersonal, and problem-solving abilities.
• Ability to work in a matrix environment, leading and influencing people at varying levels of responsibility.
• Experience within genetics/the agricultural industry is an asset.

We're excited for you to apply!