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. We’re doing it with energy, curiosity and sheer dedication, always learning from unique perspectives of those around us, expanding our thinking, growing our capabilities and redefining ‘impossible’. There are so many reasons to join us. If you’re hungry to build a varied and meaningful career in a community of brilliant and diverse minds to make a real difference, there’s only one choice.

Decision Science Analyst - Finance 

POSITION PURPOSE:

Do you thrive at the intersection of data, machine learning, and financial decision-making? CS Finance is seeking a Senior Decision Science Analyst to help transform Finance through predictive and decision science. You will leverage SQL, Python, and advanced statistical and machine learning methods to automate processes, build predictive models, and deliver data-driven insights that influence decision making. You will partner closely with cross-functional stakeholders including IT, lead experimentation and model evaluation, and turn complex data into meaningful business impact.

ROLE AND RESPONSIBILITIES:

• Translate finance and business needs into well-defined decision science problems by framing hypotheses, success metrics, and evaluation approaches; communicate progress and outcomes clearly to stakeholders
• Partner closely with Finance stakeholders, product teams, and IT data engineering and data science to drive adoption of high-impact, production-grade analytical solutions
• Design, develop, and evaluate predictive and statistical solutions that improve financial planning, forecasting, and decision-making across the enterprise.
• Champion analytical rigor and structured problem-solving through clear storytelling, stakeholder workshops, and thoughtful articulation of insights, risks, and trade-offs
• Classical ML models (classification, regression, forecasting, clustering), feature pipelines, and explainability (e.g., SHAP
• RAG pipelines and vector search for knowledge use cases
• Implement production-ready Python code with high-quality engineering standards: Git-based workflows, code reviews, automated tests, documentation, and reproducibility.
• Bring various elements of demand and supply vectors ( Market, Commodity prices, Weather, historical data, Product competition, Supply side dynamics, AI prices) into financial models
• Provide an outside in view of Financial forecasting using various data and decision science modelling to challenge and provide a reference for traditional financial forecasting process.

WHO YOU ARE:

• Master’s degree with 3+ years of experience in decision science, data science, or advanced analytics delivering production-grade solutions
• Strong foundation in statistical modeling, machine learning, and forecasting, with experience evaluating model performance and business impact.
• Ability to develop financial acumen, understand financial statements and planning processes, and apply advanced analytics to finance use cases.
• Experience working with modern data platforms and scalable analytical environments.
• Proven problem-solving skills in ambiguous settings, with a track record of turning complex data into actionable insights.
• Effective communicator who can translate technical results into clear business implications for Finance stakeholders.
• Commitment to high-quality engineering practices, documentation, and responsible data use.
• Fluent in English (written and spoken); additional languages are a plus

VACC BEHAVIOURS:

• Visionary:

I create the vision together with the team to deliver holistic impact

• Catalyst:

I break silos to connect people

• Architect:

I put the customer at the center of our work

• Coach:

I assist the team applying a new approach to work