Senior Data Scientist Workforce Optimization (m/f/d)
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The role
Translate complex business problems into actionable data science solutions through collaboration with technical and business stakeholders.
Design, develop, and test models for time series forecasting, capacity optimization, and time-based planning.
Balance service levels with resource efficiency across tactical (weeks to months) and strategic (quarterly to annual) horizons.
Stay abreast of the latest forecasting and optimization techniques, applying classical or greedy methods when appropriate.
Work with stakeholders, MLOps engineers, and software teams to deploy end-to-end solutions and continuously improve models.
Deliver production-ready models and data-driven insights that influence decision-making and long-term outcomes.
Design, develop, and test models for time series forecasting, capacity optimization, and time-based planning.
Balance service levels with resource efficiency across tactical (weeks to months) and strategic (quarterly to annual) horizons.
Stay abreast of the latest forecasting and optimization techniques, applying classical or greedy methods when appropriate.
Work with stakeholders, MLOps engineers, and software teams to deploy end-to-end solutions and continuously improve models.
Deliver production-ready models and data-driven insights that influence decision-making and long-term outcomes.
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