Jobs · Pennsylvania

Data Scientist

Turnberry Solutions · Philadelphia, PA · 3 days ago
HybridContract
Duration: 2+ Months Location: PA-Philadelphia, Hybrid 3-4 days onsite Overview: Every Turnberry consultant belongs to a practice, an internal group of consultants and leaders with shared experience and expertise. Each of these practices aligns to one of the core services Turnberry offers to clients. As a Data Scientist, you will join Turnberry's Data Strategy and Intelligence practice and service. This service provides insights into company data, advanced analytics solutions, robust data governance, and tailored solutions for specific data challenges. Responsibilities Forecasting - Data ScienceDevelop and deploy time-series forecasting and machine learning models to improve demand planning across products, regions, and business segmentsBuild ML solutions for demand sensing, anomaly detection, predictive analytics, and forecast improvementPerform feature engineering, model development, validation, and statistical analysis using large-scale supply chain dataDesign and implement end-to-end data science pipelines, from data preparation through deployment, monitoring, and continuous improvementEvaluate model performance using accuracy, bias, SMAPE, forecast attainment, and other relevant metricsCollaborate with multiple teams to productionize and scale data science solutionsInventory Optimization - MEIO Model Development and OwnershipLead the end-to-end development and ownership of Multi-Echelon Inventory Optimization (MEIO) models across retail stores, distribution centers, hubs, and customer-facing nodesTranslate business requirements, inventory policies, service objectives, and operational constraints into mathematical optimization models and scalable decision-support solutionsDesign and maintain model objectives, assumptions, constraints, and optimization logic to balance service, inventory, safety stock, leadtime variability, capacity, and costOwn model lifecycle management, including design, development, validation, deployment, monitoring, and recalibration as business conditions evolvePartner with business stakeholders to align model outputs with planning strategies, inventory policies, and service objectivesOptimization and Solver EngineeringDevelop mathematical optimization models using Gurobi or comparable commercial solversApply techniques including linear programming, mixed-integer programming, scenario analysis, and uncertainty-aware optimizationImprove model performance through reformulation, decomposition, heuristics, and solver parameter tuningEstablish practices for reproducible testing, scenario analysis, benchmarking, and validation to ensure optimization recommendations are practical and implementableData, Operationalization, and AdoptionDevelop and maintain SQL-based ETL processes and data pipelines supporting optimization models, scenario analysis, and production deploymentPartner with data engineering teams to ensure the quality, availability, and integrity of model inputs, including demand variability, lead times, network structure, service policies, and operational constraintsEstablish governance, monitoring, and documentation to ensure model outputs are accurate, explainable, auditable, and production-readySupport algorithmic planning and predictive scenario analysis using supply chain planning systems and advanced analytics toolsDrive adoption through user training, workshops, documentation, and ongoing support for planners and other stakeholders Qualifications 6+ years of experience in Operations Research, supply chain optimization, data science and forecasting, including direct ownership of MEIO or comparable inventory optimization solutions and demand forecasting modelsDemonstrated ability to translate business requirements, planning policies, and operational constraints into mathematical optimization and analytical solutionsExperience developing and deploying optimization models using Gurobi preferred, or comparable commercial solversStrong understanding of multi-echelon inventory optimization, including safety stock, service levels, demand and lead-time variability, replenishment policies, and network topologyStrong foundation in data science and forecasting, including time-series and ML-based forecasting techniques Experience applying machine learning and predictive analytics to real-world supply chain problemsExperience with stochastic optimization, robust optimization, scenario planning, or simulationProficiency in Python and optimization frameworks such as gurobipy, Pyomo and similar OR Tools, with strong software development practicesAdvanced SQL skills, including ETL, data transformation, and development of model-ready datasetsExperience with commercial MEIO platforms or comparable in-house optimization solutionsStrong understanding of supply chain planning, inventory management, and S&OP processesHave a combination of Data Science (model prediction) and Operation Research (optimization, how can we do better with what we have)Strong technical expertise in mathematical optimization, solver tuning, model validation, and forecastingStrong data science skills, including time-series forecasting, machine learning, feature engineering, and model evaluationAbility to connect data, models, business processes, and operational outcomes to develop scalable solutionsStrong leadership and communication skills, with the ability to influence stakeholders and explain technical concepts to diverse audiencesAbility to operationalize solutions through governance, monitoring, documentation, and user adoptionStrong project management and problem-solving skills with the ability to manage complex, cross-functional initiatives Preferred Qualifications Industry experience in consumer goods, retail, manufacturing, or distribution networks with complex demand, inventory, service, and lead-time requirements The salary range for this role is $110,000 to $155,000 or the hourly equivalent. Pay is based on several factors including but not limited to education, work experience, certifications, etc. In addition to your salary, Turnberry Solutions offers benefits such as a comprehensive healthcare package (medical, dental, vision), disability and group term life insurance, health and flexible spending accounts, a utilization bonus, 401(k) with match, flexible time off for salaried employees, parental leave for salaried employees, and flexible work arrangements (all benefits are subject to eligibility requirements). No matter where or when you begin a career with Turnberry, you'll find a far-reaching choice of benefits and incentives. At Turnberry, we are committed to creating a positive and connected work environment for all and are fully invested in and focused on hiring and growing a diverse team of high performers. We believe that uniqueness in ideas, experiences, and backgrounds make us a better Turnberry: Turnberry is an Equal Employment Opportunity employer, and recruits, employs, trains, compensates, and promotes regardless of age, ancestry, family medical or genetic information, gender identity and expression, marital, military, or veteran status; national and ethnic origin; physical or mental disability; political affiliation; pregnancy; race; religion; sex; sexual orientation; and any other protected characteristics. Americans With Disabilities Act (ADA) Turnberry will provide reasonable accommodation with our application process upon request as required to comply with applicable laws. If you have a disability and require accommodation assistance in this application process, please send an email to our Human Resources department at turnberryhr@turnberrysolutions.com.

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