Bayer is a global enterprise with core competencies in the Life Science fields of health care and agriculture. Its products and services are designed to benefit people and improve their quality of life. At Bayer you have the opportunity to be part of a culture where we value the passion of our employees to innovate and give them the power to change.

Sr. Data Scientist

Your tasks and responsibilities

The primary responsibilities of this role, Sr. Data Scientist, are to: 

  • Providing technical contributions in a fast-paced team environment to accelerate our efforts on building an analytics-driven product pipeline;
  • Assesses needs and recommends experiments and projects, suggests new algorithmic development, drive tactical decisions about approaches and needed data;
  • Using advanced mathematical models, machine learning algorithms, operations research techniques, and strong business acumen to deliver insight, recommendations, and solutions;
  • Demonstrate full autonomy in developing relationships for effective cross-functional collaboration throughout multiple organizations and partner on work stream initiatives for Data Science Community;
  • Developing sustainable, consumable, accurate, and impactful reporting on model inputs, model outputs, observed outputs, business impact, and key performance indicators;
  • Present compelling, validated stories to all levels of organization including peers, senior management, and internal customers to drive both strategic and operational changes in business.
  • Demonstrates sufficient business domain knowledge to determine data analytics approach and use the appropriate data sets and variables to solve them;
  • Develops analytics models and scalable analytical solutions (information products) that generate insights to drive a competitive advantage;
  • Participates in strategic evaluations of new technologies, methodologies to support decision making processes;
  • Work within the analytics community to curate structured and unstructured data from disparate sources, cleanse and validate the data to ensure accuracy, completeness, and uniformity;
  • Successful at leading projects with high degree of complexity;
  • Contribute to ongoing data science efforts, utilize available data sets and data science best practices to identify business risks and opportunities;
  • Develop stories and visualization to effectively communicate qualitative analytical insights in clear, precise and actionable manner;
  • Demonstrates ability to deliver presentations to broad audiences across functions;
  • Independently conceives, plans, and conducts investigations which can have significant influence on technological developments;
  • Seeks and builds collaborations on project and work stream initiatives for the Data Science Community;
  • Partners with the business and functions, data stewards, project/program managers and other scientific, engineering or IT teams to transform data into actionable knowledge and recommendations that can be used to make sound organizational decisions.

 

 

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:

 

  • Must have one of the following:
    • Bachelor’s degree with 8+ years of relevant experience, or,
    • `Master Degree with 6+ years of relevant experience, or;
    • PhD with 2+ years of experience;
  • Educational preparation or applied experience in at least one of the following areas:
    • Machine Learning
    • Electrical/Industrial Engineering
    • Operation Research
    • Statistical Genetics
    • Statistics
    • Biostatistics
    • Bioinformatics
    • Genomics
    • Computational Biology
    • Applied Mathematics
    • Computer Science
    • Other related quantitative discipline
  • Strong proficiency in computational skills; skilled at the intermediate level building data models using R, Python or other statistical and/or mathematical programming packages;
  • Ability to demonstrate advanced professional competencies in linear modeling, scientific modeling, and development and application of increased domain knowledge; proficiency in standard suite and/or
    modeling theories;
  • Intermediate proficiency in machine learning algorithms and concepts;
  • Extensive experience in successful delivery of valuable analysis through application of domain knowledge; evidence of strong business acumen;
  • Ability to manage a larger more diverse and complex project/program;
  • Strong communication competencies to include presentations and delivery of complex quantitative analyses in a clear, concise and actionable manner to broad audiences and key stakeholders across multiple functions;
  • Demonstrated ability to deliver presentations to broad audiences across functions;
  • Recognized as an authority in multiple areas; provides a high degree of leadership on projects, prioritizes resources, sets strategy and guides others.

 

Preferred Qualifications:

  • Experience with the Climate Corporation data ecosystem.

Your application

Bayer offers a wide variety of competitive compensation and benefits programs. If you meet the requirements of this unique opportunity, and you have the "Passion to Innovate" and the "Power to Change", we encourage you to apply now. Job postings will remain open for a minimum of ten business days and are subject to immediate closure thereafter without additional notice. To all recruitment agencies: Bayer does not accept unsolicited third party resumes.

Bayer is an Equal Opportunity Employer/Disabled/Veterans

 

Bayer is committed to providing access and reasonable accommodations in its application process for individuals with disabilities and encourages applicants with disabilities to request any needed accommodation(s) using the contact information below.

 

Country: United States
Location: MO-Chesterfield
Functional Area: [sap_fa_35]
Entry Level: 5