Job Description
- Work on digital transformation, innovation projects and cutting-edge data-driven solutions within global decision science CoE.
- Apply advanced analytics skills to turn data into a competitive advantage and help business
- stakeholders make more informed data-driven decisions.
- Analyze and develop mathematical optimization, simulation, AI, and machine learning solutions from experimentation to end-to-end productive solution.
- Analyze and present complex ideas, data, and insights effectively to diverse stakeholders.
- Develop strategies to identify new opportunities, expand existing analytical methods, provide insights, and build practical solutions to diverse use-cases for end-to-end connected and autonomous supply chain.
- Manage and drive data science initiatives including steering of external partners & experts to deliver business goals.
- Build cross-functional relationships to collaboratively partner with the business and effectively network within the Data Science Community. Readily collaborates with subject
- matter experts, business stakeholders, and other Data Scientists.
We would expect from you:
- Master’s degree in Operations Research, Industrial Engineering, Computer Science,
- Management Science, or other related quantitative discipline from a reputed University. PhD would be preferable.
- Minimum 1+ years relevant experience delivering analytics solutions to complex business problems for PhD applicants, 3+ years for Master applicants.
- Domain knowledge of Supply Chain management and quantitative modeling (e.g. multi- echelon inventory optimization, network design, tactical planning, causal forecasting etc.).
- Theoretical and practical experience in optimization and simulation model development related to supply chain & manufacturing is a requirement, including experience with commercial optimization solvers (ex. CPLEX, Gurobi), commercial SC optimization software (ex. AIMMS, LLamasoft) and simulation software (e.g. Anylogic, Arena)
- Expertise in programming (e.g. Python, Java), relational (e.g. SQL, PostgreSQL), graph database (e.g. Neo4j, Tigergraph) and machine learning (e.g. Python, R, Scikit)
- Business acumen and experience in supply chain decision making e.g. network design, inventory optimization, operational planning & scheduling, demand forecasting and process diagnostics using machine learning and operation research methods.
- Experience in demand & supply planning algorithm implementation with advanced planning systems e.g. Blue Yonder / JDA, o9, OMP, Kinaxis, SAP APO and SAP IBP is a major plus.
- Excellent problem-solving, interpersonal, and communication skills combined with business attitude and the ability to rapidly learn new problems
- Ability to work in a matrix environment and influence people at varying levels of responsibility
In the exchange we will offer you:
- A flexible hybrid work model
- Career development, 360° Feedback & Mentoring programme
- Wide access to professional development tools, trainings, & conferences
- Competitive salary, annual bonus & top performers awards
- VIP Medical Care Package (including Dental & Mental health)
- Pension plan
- Holiday allowance (“Wczasy pod grusz?”)
- Life & Travel Insurance
- Co-financed sport card with unlimited usage
- Meals Subsidy in Office
- Home Office Setup & Maintenance allowance
- New & exciting open office space coming in Spring ‘22
Our inclusive culture at Bayer:
Bayer is an equal opportunity employer. We care about inclusion in terms of gender, age, race, skin color, nationality, religion, marital status, sexual orientation, background, physical or mental disabilities and on every other grounds. Applying for our position, we assure you that we will assess your application solely on the basis of your competencies.
YOUR APPLICATION
Bayer welcomes applications from all individuals, regardless of race, national origin, gender, age, physical characteristics, social origin, disability, union membership, religion, family status, pregnancy, sexual orientation, gender identity, gender expression or any unlawful criterion under applicable law. We are committed to treating all applicants fairly and avoiding discrimination.
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.
Bayer offers the possibility of working in a hybrid model. We know how important work-life balance is, so our employees can work from home, from the office or combine both work environments. The possibilities of using the hybrid model are each time discussed with the manager.
Company Info.
Bayer
Bayer AG is a German multinational pharmaceutical and life sciences company and one of the largest pharmaceutical companies in the world. Headquartered in Leverkusen, Bayer's areas of business include pharmaceuticals; consumer healthcare products, agricultural chemicals, seeds and biotechnology products. The company is a component of the Euro Stoxx 50 stock market index.