September 17, 2024
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Amsterdam, North Holland, Netherlands, Remote
September 17, 2024
Apply NowJob description
Skill Farm Experts Are Invited to Apply for the Following Role:
Responsibilities:
Research, design, build, deploy, and validate new and existing machine learning models and predictive analytics for advanced forecasting in supply chain demand planning that will drive our customers growth from insights that are allow for better decision making
Apply a variety of machine learning techniques (clustering, regression, neural nets, time series, optimizations etc.) to their real-world advantages/drawbacks for insights internally and externally
Collaborate with solution architects, business operations specialists, engineers, data scientists, product managers, and internal/external business teams to make sure the models are aligned with business objectives and customer needs
Develop machine learning models for segmentation and optimization
Provide visualization of complex data sets that includes mathematical models, algorithms, and robust analytics
Produce recommendations and use statistical techniques that answer key product questions
Provide on-going support for development of demand planning forecasting and predictive analysis.
Be a storyteller to explain the Òwhy and how'Ó of your data driven recommendations to cross-functional teams and customers
Guide junior data scientists and oversee their activities to ensure proper alignment/execution of their activities, and maintain high coding standards and best practices within organization
Skills:
Experience: 5+ years of data science and data analytics experience.
5+ years' experience in supply chain planning analysis that specialize in: Demand Planning, Predictive Analysis, Demand Forecasting, Supply Planning, Inventory Market Optimization, Store Segmentation, Market Mix Optimization, New Product Planning, or similar.
Experience in building scalable ML frameworks for demand sensing including identifying and collecting relevant input data, feature engineering, tuning, and testing.
Experience developing experimental and analytics plans for data modeling processes with the ability to accurately determine and resolve problems
Experience gathering data requirements for statistical predictive analytics research that drives market research, product innovation, and implementation in a supply chain space
Strong presentation and communications skills with ability to communicate complex analytical or technical concepts to audiences with limited analytical or technical background
Experience in time series forecasting in scale using heuristic based hierarchical best-fit models using algorithms like exponential smoothing, ARIMA, prophet and custom parameter tuning
Responsibilities:
Research, design, build, deploy, and validate new and existing machine learning models and predictive analytics for advanced forecasting in supply chain demand planning that will drive our customers growth from insights that are allow for better decision making
Apply a variety of machine learning techniques (clustering, regression, neural nets, time series, optimizations etc.) to their real-world advantages/drawbacks for insights internally and externally
Collaborate with solution architects, business operations specialists, engineers, data scientists, product managers, and internal/external business teams to make sure the models are aligned with business objectives and customer needs
Develop machine learning models for segmentation and optimization
Provide visualization of complex data sets that includes mathematical models, algorithms, and robust analytics
Produce recommendations and use statistical techniques that answer key product questions
Provide on-going support for development of demand planning forecasting and predictive analysis.
Be a storyteller to explain the Òwhy and how'Ó of your data driven recommendations to cross-functional teams and customers
Guide junior data scientists and oversee their activities to ensure proper alignment/execution of their activities, and maintain high coding standards and best practices within organization
Skills:
Experience: 5+ years of data science and data analytics experience.
5+ years' experience in supply chain planning analysis that specialize in: Demand Planning, Predictive Analysis, Demand Forecasting, Supply Planning, Inventory Market Optimization, Store Segmentation, Market Mix Optimization, New Product Planning, or similar.
Experience in building scalable ML frameworks for demand sensing including identifying and collecting relevant input data, feature engineering, tuning, and testing.
Experience developing experimental and analytics plans for data modeling processes with the ability to accurately determine and resolve problems
Experience gathering data requirements for statistical predictive analytics research that drives market research, product innovation, and implementation in a supply chain space
Strong presentation and communications skills with ability to communicate complex analytical or technical concepts to audiences with limited analytical or technical background
Experience in time series forecasting in scale using heuristic based hierarchical best-fit models using algorithms like exponential smoothing, ARIMA, prophet and custom parameter tuning
