Data Scientist
TEKsystems
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Benefits offered by this job
Job summary
TEKsystems is seeking a Contract to Hire Data Science & Operations Research Scientist – Supply Chain Planning COE in Philadelphia, PA. The role blends forecasting, optimization, and analytics to improve demand planning and inventory strategies.
You will develop time-series models, MEIO solutions, and optimization workflows using Python, SQL, and Gurobi, collaborating with data engineers and business partners. This hybrid role is based in Philadelphia.
Qualifications
- 6+ years of experience in Operations Research, supply chain optimization, data science and forecasting.
- Direct ownership of MEIO or similar inventory optimization and demand forecasting models.
- Experience developing and deploying optimization models using Gurobi or comparable solvers.
- Strong understanding of multi-echelon inventory optimization, safety stock and service levels.
- Foundations in time-series forecasting and ML techniques (ARIMA, Prophet, XGBoost).
- Experience applying ML to real-world supply chain problems and optimization.
- Proficiency in Python and optimization frameworks with solid software practices.
- Advanced SQL skills to build ETL and model-ready datasets.
Responsibilities
- Forecasting - Develop and deploy time-series forecasting and ML models to improve demand planning across products, regions, and segments.
- Inventory optimization - Lead MEIO model development across stores, DCs, hubs, and customers.
- Optimization & solver engineering - Build optimization models using Gurobi and tuning.
- Data, operationalization & adoption - Develop SQL-based ETL pipelines and partner with data engineering for inputs and governance.
- Governance - Establish monitoring and documentation for production-ready model outputs.
- Collaboration - Work with stakeholders to align model outputs with planning strategies and service objectives.
Skills
Tools
Job description
Data Science, SQL, Python
Needs a combination of Data Science (model prediction) and Operation Research (optimization, how can we do better with what we have).
Develop and deploy time-series forecasting and machine learning models to improve demand planning across products, regions, and business segments.
Develop and maintain SQL-based ETL processes and data pipelines supporting optimization models, scenario analysis, and production deployment.
Partner 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 constraints.
Establish governance, monitoring, and documentation to ensure model outputs are accurate, explainable, auditable, and production-ready. Contact Supplier
Contractor, Data Science and Ops Research Scientist - Supply Chain Planning COE
Develop and deploy time-series forecasting and machine learning models to improve demand planning across products, regions, and business segments.
Build ML solutions for demand sensing, anomaly detection, predictive analytics, and forecast improvement.
Perform feature engineering, model development, validation, and statistical analysis using large-scale supply chain data.
Design and implement end-to-end data science pipelines, from data preparation through deployment, monitoring, and continuous improvement.
Evaluate model performance using accuracy, bias, SMAPE, forecast attainment, and other relevant metrics.
Collaborate with multiple teams to productionize and scale data science solutions.
Lead the end-to-end development and ownership of Multi-Echelon Inventory Optimization (MEIO) models across retail stores, distribution centers, hubs, and customer-facing nodes.
Translate business requirements, inventory policies, service objectives, and operational constraints into mathematical optimization models and scalable decision-support solutions.
Design and maintain model objectives, assumptions, constraints, and optimization logic to balance service, inventory, safety stock, leadtime variability, capacity and cost.
Own model lifecycle management, including design, development, validation, deployment, monitoring, and recalibration as business conditions evolve.
Partner with business stakeholders to align model outputs with planning strategies, inventory policies, and service objectives.
Develop mathematical optimization models using Gurobi or comparable commercial solvers.
Apply techniques including linear programming, mixed-integer programming, scenario analysis, and uncertainty-aware optimization.
Improve model performance through reformulation, decomposition, heuristics, and solver parameter tuning.
Establish practices for reproducible testing, scenario analysis, benchmarking, and validation to ensure optimization recommendations are practical and implementable.
Develop and maintain SQL-based ETL processes and data pipelines supporting optimization models, scenario analysis, and production deployment.
Partner 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 constraints.
Establish governance, monitoring, and documentation to ensure model outputs are accurate, explainable, auditable, and production-ready.
Support algorithmic planning and predictive scenario analysis using supply chain planning systems and advanced analytics tools.
Drive adoption through user training, workshops, documentation, and ongoing support for planners and other stakeholders.
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 models.
Demonstrated ability to translate business requirements, planning policies, and operational constraints into mathematical optimization and analytical solutions.
Experience developing and deploying optimization models using Gurobi preferred, or comparable commercial solvers.
Strong understanding of multi-echelon inventory optimization, including safety stock, service levels, demand and lead-time variability, replenishment policies, and network topology.
Strong foundation in data science and forecasting, including time-series and ML-based forecasting techniques such as ARIMA, Prophet and XGBoost.
Experience applying machine learning and predictive analytics to real-world supply chain problems.
Experience with stochastic optimization, robust optimization, scenario planning, or simulation.
Proficiency in Python and optimization frameworks such as gurobipy, Pyomo and similar OR Tools, with strong software development practices.
Advanced SQL skills, including ETL, data transformation, and development of model-ready datasets.
Experience with commercial MEIO platforms or comparable in-house optimization solutions.
Strong understanding of supply chain planning, inventory management, and S&OP processes.
Strong technical expertise in mathematical optimization, solver tuning, model validation, and forecasting.
Strong data science skills, including time-series forecasting, machine learning, feature engineering, and model evaluation.
Ability to connect data, models, business processes, and operational outcomes to develop scalable solutions.
Strong leadership and communication skills, with the ability to influence stakeholders and explain technical concepts to diverse audiences.
Ability to operationalize solutions through governance, monitoring, documentation, and user adoption.
Strong project management and problem-solving skills with the ability to manage complex, cross-functional initiatives.
Industry experience in consumer goods, retail, manufacturing, or distribution networks with complex demand, inventory, service, and lead-time requirements preferred.
This is a Contract to Hire position based out of Philadelphia, PA.
The pay range for this position is $70.00 - $75.00/hr.
Individual compensation offered for this position within this range will depend on many factors, including qualifications, skills, relevant experience, job knowledge, geographic location, internal equity, and other pertinent job-related factors.
Eligibility requirements apply to some benefits and may depend on your jobclassification and length of employment. Benefits are subject to change and may besubject to specific elections, plan, or program terms. If eligible, the benefitsavailable for this temporary role may include the following:Medical, dental & visionCritical Illness, Accident, and Hospital401(k) Retirement Plan Pre-tax and Roth post-tax contributions availableLife Insurance (Voluntary Life & AD&D for the employee and dependents)Short and long-term disabilityHealth Spending Account (HSA)Transportation benefitsEmployee Assistance ProgramTime Off/Leave (PTO, Vacation or Sick Leave)
This is a Contract to Hire position based out of Philadelphia, PA.
This position is anticipated to close on Oct 21, 2026.
This is a hybrid position in Philadelphia,PA.
We're partners in transformation. We help clients activate ideas and solutions to take advantage of a new world of opportunity. We are a team of 80,000 strong, working with over 6,000 clients, including 80% of the Fortune 500, across North America, Europe and Asia. As an industry leader in Full-Stack Technology Services, Talent Services, and real-world application, we work with progressive leaders to drive change. That's the power of true partnership. TEKsystems is an Allegis Group company.
The company is an equal opportunity employer and will consider all applications without regards to race, sex, age, color, religion, national origin, veteran status, disability, sexual orientation, gender identity, genetic information or any characteristic protected by law.
Were a leading provider of business and technology services. We accelerate business transformation for our customers. Our expertise in strategy, design, execution and operations unlocks business value through a range of solutions. Were a team of 80,000 strong, working with over 6,000 customers, including 80% of the Fortune 500 across North America, Europe and Asia, who partner with us for our scale, full-stack capabilities and speed. Were strategic thinkers, hands-on collaborators, helping customers capitalize on change and master the momentum of technology. Were building tomorrow by delivering business outcomes and making positive impacts in our global communities. TEKsystems and TEKsystems Global Services are Allegis Group companies. Learn more at TEKsystems.com.
The company is an equal opportunity employer and will consider all applications without regard to race, sex, age, color, religion, national origin, veteran status, disability, sexual orientation, gender identity, genetic information or any characteristic protected by law.
San Francisco Fair Chance Ordinance: Pursuant to the San Francisco Fair Chance Ordinance, for all positions located in the city and county of San Francisco, we will consider for employment qualified applicants with arrest and conviction records.
Massachusetts Lie Detector: It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability.
Use of Artificial Intelligence (AI): We may use Artificial Intelligence (AI) to support parts of our hiring process, including sourcing, screening, and evaluating candidates. AI helps assess applications and qualifications, but final decisions are made by our hiring team. By applying, you acknowledge and agree that your application may be reviewed using AI tools.
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