Operational Research Specialist / Data Scientist

Job content

Making a difference. That’s what a career at AGCO is all about. At AGCO you have a voice and the opportunity to impact our long-term success, as well as your own

AGCO is a global leader focused on the design, manufacture and distribution of agricultural machinery and infrastructure. AGCO supports more productive farming through a full line of tractors, combines, hay tools, sprayers, forage equipment, tillage, implements, grain storage and protein production systems, as well as related replacement parts. AGCO products are sold through five core brands, Challenger®, Fendt®, GSI®, Massey Ferguson® and Valtra® and are distributed globally through 3,150 independent dealers and distributors in more than 140 countries worldwide. Our diverse product line, global reach and technological solutions help our customers not only survive today’s changing landscape, but to also prosper. Visit www.AGCOcorp.com for more information.

Operational Research Specialist / Data Scientist

Stoneleigh

An opportunity has arisen to join the Supply Chain team. This position will report into the Director, Supply Chain, Parts EME.

Our Supply Chain team is looking for an enthusiastic operational research/data scientist professional with a strong mathematical background. The successful candidate should be capable of undertaking independent investigation and develop techniques for process improvement. The successful candidate will also have experience in understanding business needs and translating them into an operation research hypothesis/data-science problem.

This role is responsible for the end-to-end implementation of analytical use cases to support EME and Global initiatives with data driven insights.

Job Description

• Develop a solid understanding of the business and the different supply chain teams in order to be able to form and solve relevant analytical problems

• Collaborate closely with business stakeholders for gathering of business requirements and translating them into analytical problems that can be resolved by leveraging statistics, machine learning, time series forecasting, operational research and business analysis. One of the projects will be our Forecast Method Selection process. The project aim will be to replace our current forecast-method (FMS) selection process which seeks to minimize variance (MAPE) with a new custom approach which will assign the right forecast method based on the optimal balance among inventory and fill rate

• Utilize programming (Python, SQL etc.) to analyze big data hosted in multiple systems and build advanced statistical models and analytical tools to create/improve business processes. Starting with our global RDSL (Recommended Dealer Stocking List) initiative which is a new data driven metric. The project aims to optimize our stocking recommendations to dealers to improve the quality and consistency of RDSLs through statistical analysis of parts with similar attributes

• Build & deploy production scale models on large-scale datasets using advanced analytics techniques for Supply Chain concepts

• Promote utilization of Operational Research tools and techniques within the wider Supply Chain team

• End-to-end use case implementation (data preparation, data exploration, statistical analysis, time series analysis, model deployment, data visualization).

• Presentation of analytical results to stakeholders and actionable recommendations to business

• Identification of value generating analytical use cases and feasibility studies/proof of concept implementations

• Development of best practices and acting as an ambassador for data and insight driven culture within Aftersales

Qualifications

• Master’s degree in a quantitative field such as Statistics, Data Science, Applied Mathematics, Physics, Engineering, Computer Science, or Operational Research. PhD preferred.

• Relevant working experience in an analytical/data science role working with big data (data extraction, processing and analysis, statistical modeling, visualization)

• Practical experience with data querying language SQL and Python programming

• Practical experience in applying multivariate statistical methods, machine learning models, time series forecasting

• Solid experience in using Tableau

• Proven ability to convey rigorous technical concepts and considerations to non-experts

• Team player able to collaborate within an international team with strong business focus

• Excellent communication and presentation skills in English

We offer the following benefits:

· Basic salary: Competitive

· A company performance / Individual performance related bonus (10%)

· Defined Contribution Pension Scheme (The company contributes up to 10% for a 5% employee contributions)

· Life assurance and critical illness cover for Pension members

· 26 days holidays + statutory holidays

· Holiday trading

· Retail discount portal

· Childcare vouchers

· Confidential Employee Assistance Programme for employees and their immediate family

· On-site parking

· On-site restaurant

Employee development and growth is part of our company culture. If you are looking for an opportunity to work in an inspiring multinational environment for a leading global player of agricultural solutions, we look forward to receiving your application!