We are looking for an experienced SAS Data Scientist to work with an international client in the financial sector. This role is to support our Client in optimizing their demand planning and product sales strategies. The position involves overseeing monthly forecasting processes, ensuring the integration of diverse data sources, and maintaining high accuracy to inform decision-making. The candidate will work closely with market demand planners, employing advanced statistical and machine learning methods in SAS to refine forecasts, and will present insights to senior leadership, driving continuous improvement and sharing best practices across teams.
If you have experience working with SAS and are ready for new challenges, apply now
Responsibilities
- Oversee monthly forecasting, ensuring accuracy and integration of various data sources
- Generate and review reports to improve and validate forecasting methods
- Collaborate with market demand planners to refine and adopt statistical forecasts
- Conduct experiments to enhance forecast accuracy and stability
- Present forecasting strategies and results to senior leadership with confidence
- Drive continuous improvement in forecasting techniques, including statistical and machine learning methods
- Share best practices and innovations through workshops with regional forecasting teams
- Monitor key forecasting metrics and demand trends, adjusting models as needed
- Provide on-demand analysis to support client management and demand planning
Skills - Must have
- Proficient in time series forecasting techniques & predictive modelling.
- Ability to efficiently gather information and generate analysis to support successful supply chain management and business success.
- Well Versed with SAS Viya (SAS Studio, SAS Model Studio, SAS Environment Manager, SAS Visual Analytics etc.), including ability to write 4GL Macros, use DATA steps, and PROC steps for data preparation and statistical modelling (e.g. PROC FOREST, PROC FORECAST, PROC HPFDIAGNOSE, PROC ESM, PROC REG, PROC ARIMA, PROC LOESS, PROC HPFRECONCILE, PROC SQL, PROC EXPAND, PROC FREQ, PROC MEANS, PROC UNIVARIATE etc)
- Proficient with SQL (CTAS)
- Proficient with Excel (Conditional Statements, Logical Operators, Lookup & Reference Functions, Text Functions, Date & Time Functions, Conditional Formatting, Data Validations, Pivot Tables, Visualizations etc.) and Git (branch, checkout, fetch, add, status, commit, push, merge, pull request creation & feature branch creation on Git provider UI, merge conflict resolution)
- Presentation skills - i.e. ability to describe complex analytical problems to business audience
Skills - Nice to have
- Understanding of Supply chain, Demand Planning & Inventory Controlling process.
- Linux commands (process and file management commands), Power BI and R
We offer
- Fully Remote work with a global team.
- Long-term B2B Contract with competitive terms.
- Work on cutting-edge projects in a dynamic and collaborative environment.