Senior Data Scientist – Forecast Engine Utility Innovation

Key Skills

Aartificial intelligence, Agile methodologies, Algorithms, KPIs, Machine learning techniques, Object-Oriented programming (OO languages)

Job Description

Forecast engine utility (FEU) is Unilever’s inhouse AI/ML based demand & promotion forecasting solution. Senior Data Scientist (Innovation) role under FEU will be responsible for research and development of state of art large scale demand forecasting and promotion planning algorithms. Objective of this role is to improving forecast KPIs globally via scalable ML/AI methods. Key Responsibility of this role will be to develop innovative machine learning solutions for large scale demand forecasting solutions. These innovative ML models will have potential to scale across all Unilever market (100+ countries).

Who You Are and What You'll Do

• Execute data science innovation topics for Forecast Engine Utility and Integrated Business operations to deliver global forecast KPIs
• Research and develop algorithms/Model to improve large scale demand forecasting problem (+billions of timeseries). Build, maintain, and improve new and existing suite of algorithms and their underlying systems.
• Create technical design; innovative problem solving, Document and Develop technical solutions aligned with business objectives; identify gaps between the current and desired end-states
• Analyzing the AI/ML algorithms that could be used to solve a given problem and ranking them by their success probability.
• Engaging in strategic discussions to identify problems while measuring and improving the quality of workflows. Identify and implement opportunities to improve tooling and implementation of scalable solutions
• Actively contribute to and re-use UL DS community best practices.
• Contribute to the AI innovation and build thought leadership via publications/patents and presence in industry/academic conference. Further, actively contribute towards establish innovation team as thought leader in demand forecasting within the CPG industry.
• Working in an agile environment with globally distributed teams.
• Mentor and supervise team member across the organization.
• Write efficient and well-organized ML based software to ship products in an iterative, continual-release environment.
• Engaging in strategic discussions to identify problems while measuring and improving the quality of workflows. Identify and implement opportunities to improve tooling and implementation of scalable solutions
• Working in an agile environment with globally distributed teams.

What You Need to Succeed

• 5+ years of relevant experience with skills in Time Series models, Machine Learning, and strong hold of object-oriented programming with large data.
• Experience in enterprise level ML product development is required.
• Bachelor's Degree required

Pay: The pay range for this position is $96,000 - $143,00. Unilever takes into consideration a wide range of factors that are utilized in making compensation decisions including, but not limited to, skill sets, experience and training, licensure and certifications, qualifications and education, and other business and organizational needs. Bonus: This position is bonus eligible. Long-Term Incentive (LTI): This position is LTI eligible. Benefits: Unilever employees are eligible to participate in our benefits plan. Should the employee choose to participate, they can choose from a range of benefits to include, but is not limited to, health insurance (including prescription drug, dental, and vision coverage), retirement savings benefits, life insurance and disability benefits, parental leave, sick leave, paid vacation and holidays, as well as access to numerous voluntary benefits. Any coverages for health insurance and retirement benefits will be in accordance with the terms and conditions of the applicable plans and associated governing plan documents