- Valid for 14 daysuntil: 29 May 2021
- Remote recruitment
- Remote work
- contract of employment
- senior specialist (Senior)
Technologies we use
About the project
The individual works collaboratively with interdisciplinary scientists, IT and engineering professionals across the organization to solve critical problems and answer important questions that drive key decisions for our business.
Fosters new game changing ideas to produce sophisticated, intelligent optimization solutions and predictive models.
Works on a team as an individual contributor with other Data Scientists.
May lead multi-discipline project teams of large scope which may require assigning and coordinating the work of others.
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
Bachelors degree with 8+ years of experience or Masters degree with 6+ years of experience or PhD with 3+ 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 or 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
What we offer
Hybrid working style
Full time employment contract
Wide range of development opportunities
Attractive benefits package
Good working conditions and comfortable working environment
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
Bayer is an Equal Opportunity Employer. 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).
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.