Data Scientist

Are you passionate about turning data into actionable insights that transform planning performance and business outcomes?

Be part of a collaborative, innovative, and solution-oriented team where together we can achieve greatness and make a real impact. Your potential is our inspiration.

Where You'll Make a Difference

• Develop and enhance forecasting, predictive analytics, and decision-support solutions that improve planning performance and business outcomes.
• Analyze demand patterns, seasonality, market trends, and key business drivers to generate actionable insights.
• Drive forecast accuracy improvements by identifying sources of bias and recommending process enhancements.
• Design, develop, and maintain dashboards, key performance indicators, and analytical tools that support data-driven decision making.
• Partner with Demand Planning, Commercial, Supply Planning, Information Technology, and external stakeholders to translate business challenges into analytical solutions.
• Prepare, validate, and analyze large, complex datasets to support forecasting, scenario planning, and performance management activities.
• Develop, test, deploy, and maintain statistical and machine learning models that address business needs and improve planning capabilities.
• Support end-to-end project delivery, including discovery, design, development, testing, deployment, adoption, and knowledge transfer.
• Evaluate emerging technologies, analytical methodologies, and automation opportunities that can drive continuous improvement and long-term business value.

What Makes You the Right Fit

• Bachelor's or Master's degree in Data Science, Statistics, Mathematics, Operations Research, Supply Chain, Industrial Engineering, Computer Science, or a related field.
• Experience in Data Science, Advanced Analytics, Forecasting, Demand Planning, Supply Chain Analytics, or a related discipline.
• Proven experience delivering analytical solutions that generate measurable business value.
• Strong understanding of statistical analysis, forecasting methodologies, and predictive modeling techniques.
• Experience developing and implementing machine learning models in a business environment.
• Proficiency in Python and/or R for data analysis, modeling, and automation.
• Strong knowledge of Structured Query Language (SQL), data management, and data preparation practices.
• Experience using data visualization and reporting tools to communicate insights effectively.
• Excellent communication and stakeholder management skills with the ability to explain complex concepts to technical and non-technical audiences.

How Would You Stand Out?

• Experience supporting Sales and Operations Planning (S&OP) or Integrated Business Planning processes.
• Knowledge of demand forecasting platforms, supply chain planning systems, or advanced analytics technologies.
• Demonstrated continuous improvement mindset with a passion for innovation, automation, and capability building.

Why Choose Us?

• Opportunity to work on high-impact global initiatives that shape planning and decision-making capabilities.
• Exposure to cross-functional teams and senior business stakeholders across multiple regions.
• Collaborative and inclusive work environment that values innovation and diverse perspectives.
• Continuous learning and professional development opportunities.
• Access to advanced technologies, analytical tools, and digital transformation initiatives.
• Competitive rewards package and flexible work arrangements based on local policies.

We are a global leader in taste, scent, and nutrition, offering our customers a broader range of natural solutions and accelerating our growth strategy. At IFF, we believe that your uniqueness unleashes our potential. We value the diverse mosaic of the ethnicity, national origin, race, age, sex, or veteran status. We strive for an inclusive workplace that allows each of our colleagues to bring their authentic self to work regardless of their religion, gender identity & expression, sexual orientation, or disability.

Visit IFF.com/careers/workplace-diversity-and-inclusion to learn more