| Bedrijf | TeslaBekijk meer |
 Adres | Amsterdam, Noord-Holland |
 Vorm van werk | Full-time |
| Categorie | Onderzoek |
Functieomschrijving
- Develop models / tools to compute warehousesize based on data inputs like sales/inventory forecast, warehouse layoutdesign, storage method, etc. And measure space utilization.
- Develop models / tools for warehouse resourcesplanning, including but not limited to, labor, packaging material, equipment,etc
- Develop models / tools to forecast inventorylevel, inbound / outbound order volume based on parameters like demand forecast,lead time, historical repair rate, part quality, distribution model, servicenetwork expansion, etc.
- Innovation in inventory modelling, startingfrom single node inventory optimization to multi echelon (several nodes)inventory optimization. Develop solutions on inventory forecasting techniquesto provide the business with a forward looking view of inventory, in line withour demand and supply planning teams.
- Support with warehouse launch/moves/closures tooptimize the distribution network while performing regular capacity planninganalyses based on upcoming build plans.
- Develop, track, and own reporting metrics toroot cause gaps across the Supply Chain, then project manage cross-functionallyacross the Service and Supply Chain organization to close them out.
- Investigate and explore opportunities tooptimize, scale, and automate processes using data-driven solutions andapplications.
- Translate quantitative research and analysisinto actionable insights, prepare visualizations, and present findings withinfluential storytelling.
- Develop decision support systems, tools, andmodels that are scalable and reproducible to assist in planned growth anddecision making for distribution network capabilities.
- Simulate and conduct sensitivity analysis tostress test existing network and future models to identify operationalbottlenecks and risks.
- Formulate and analyze what-if scenarios, designand evaluate experiments, alternate and conceptual models.
- Champion the use of Operations Research andData Science concepts, techniques, and best practices.
Verzoek
- Degree in Data Sciences, Data Engineering, ComputerScience, Industrial Engineering, Systems Engineering, Supply Chain orOperations Research fields or relevant experience
- 5+ years of experience in data analytics, supplychain operations, logistics, E-commerce, or manufacturing.
- Programming skills with at least oneobject-oriented language (e.g. Java) and one scripting language (e.g. Python).
- Experience with statistical software (R), databaselanguages (SQL), simulation tools (ARENA, AnyLogic, FlexSim), datavisualization tools (e.g., Tableau, Power BI, d3.js), predictive modeling/ MLtools (Scikit Learn, R) and solvers (Gurobi, CPLEX, or Xpress).
- Proficient in concepts of Operations Researchand Data Science like mathematical programming (LP, Non-LP, MIP), QueuingTheory, Simulation, Long Term Forecasting, Anomaly Detection, Clustering, etc.
- Experience in creating end to end ETL pipelineis a plus.
- Knowledgeable in modeling heuristics, bestpractices, and effective solutions from within the industry or derived fromother industries.
- Highly proficient in automation and supplychain analytics. Strong analytical, problem-solving, and conceptual skillsincluding the ability to express complex technical concepts in business terms.
- Ability to thrive in a fast-moving andconstantly evolving high growth environment.
- Comfortable in an environment withunstructured, incomplete, and ambiguous data.
- Excellent written and verbal communication, andcomfortable communicating with Senior Management
Refer code: 894478. Tesla - De vorige dag - 2024-02-03 07:08
