Data Science Co-Op

Key Skills

Aartificial intelligence, Data science techniques, Deep Learning, Java Programming, Large scale data processing, Machine learning techniques, Python Programming, R Programming, SQL

Job Description

The primary responsibilities of this role, Data Science Co-Op, are to: 

• Perform research to advance the science and technology of data science;

• Familiarize large scale data query tools, and cloud computing infrastructures;
• Build, test and validate prescriptive/predictive models through iterative process;
• Evaluate the model performance with solid metrics;
• Write detailed documentation;
• Understand the key domain breeding process;
• Present project results to leadership team and partners;
• Work closely with data scientist in Breeding Analytics team, other stakeholders, and breeders in any/all regions.

 WHO YOU ARE

• Your success will be driven by your demonstration of our LIFE values. More specifically related to this position, Bayer seeks an incumbent who possesses the following:

 Required Qualifications:

• Currently in the process of obtaining, a degree such as Ph.D., Masters, or Bachelors with relevant research experience in Computer Science; Operations Research, Statistics, Mathematics or related field;

• Must obtain work authorization at the time of hire and maintain ongoing work authorization during employment.

 Preferred Qualifications:

• Experience in machine learning, artificial intelligence (AI), computer vision, optimization, computer science, statistics, applied mathematics, or data science;
• Experience solving analytical problems using quantitative approaches;
• Ability to manipulate and analyze complex, large scale, high-dimensionality data from varying sources;
• Experience in utilizing theoretical and empirical research to solve problems;
• Understanding of statistics and experience applying statistical concepts to real-world data;
• Ability to communicate complex research in a clear, precise, and actionable manner;
• Fluent in Python and/or R programming language;
• Experience building systems based on machine learning and/or deep learning methods;
• Strong analytical and quantitative problem-solving ability.