.**Operations Research Data Scientis Job Description****Required Technologies**:**-Python****-numpy****-SciPy****-Scikit learn****-pandas****-Matplotlib****-amazon****-data****-Data Science****-Scala****Description**The Intelligence Unit of the Business Operations team seeks a Data Scientist with strong analytical and communication skills to join our team. We develop algorithms that involve learning from core systems, such as HCM, ERP, ATS, CRM, internal products, and Staffing Systems, in order to generate and improve existing data models.8+ years of experience working in the Data Science field with Optimization and TimeSeries Forecasting problems, preferably leading customer discovery and requirementsdiscussions, and building/deploying ML models to production.- Demonstrated expertise in the areas of Operations Research, Greedy Heuristics, and Combinatorial Optimization techniques related to Integer Programming and Mixed Integer Programming, and the ability to prototype and solve "knapsack" problems effectively.- Experience with optimization libraries such as Gurobi, Pyomo, Pulp, or Cplex.- Proficient in Python/Scala and SQL, demonstrating best practices for data coding to ensure consistency and readiness for production deployment.- Demonstrated expertise in using commercial and open source solvers, time series analysis, and forecasting techniques.- Statistics and Applied Math, Computer Science, Operations Research (OR).- English Proficiency- Data-focused applied mathematics (statistical analysis)Preferred Qualifications:- Python tools for Data analysis (NumPy / SciPy / scikit-learn / pandas / matplotlib).- Proficient with Amazon SageMaker and Retrieval Augmented Generation.- Familiarity with TV/Linear Advertising space, Ad Campaign Managers (Hulu, Facebook, Google, etc), Media Planning, Publishing/M&E domain, measurement providers and alternative currencies in linear and addressable (e.G. Nielsen, Commscore, iSpot, Samba, EDO, Wideorbit, Mediaocean, etc).- Experience in Media Mix Modeling (MMM) and Targeted Advertising.- Ability to harness machine learning algorithms, particularly in targeting specific audiences, enhancing the impact of advertising campaigns.- Prior experience working with Supply Chain, especially in translating optimization and scheduling algorithms into tangible actions for creating, distributing, and placing ads.- Data Visualization: Provide insights: and show patterns, trends, or correlations in a singl plot. The ability to produce dynamic and interactive data visualizations is a plus.IMPORTANT!**Scorecard / Elements evaluated****Operations Research**- Must-Have:_- Combinatorial Optimization- Greedy Heuristics- Mixed Integer Programming- Commercial & Open Source Solvers- Nice-to-Have:- Cardinality Algorithms (e.G
