Data Scientist

Pyramid Consulting, Inc

Philadelphia (Philadelphia County)

Hybrid

USD 96,000 - 103,000

Full time

4 days ago
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Benefits offered by this job

Health insurance
401(k) plan
Paid sick leave

Job summary

Pyramid Consulting, Inc. is seeking a Data Scientist for a 06+ month contract in Philadelphia, hybrid work arrangement. The role focuses on developing optimization models, forecasting, and MEIO solutions to improve demand planning and inventory management.

You will implement SQL-based ETL, build time-series and machine learning models, and ensure data quality for production systems. Strong background in optimization and analytics, with experience in consumer goods or distribution networks, is

Qualifications

  • 6+ years of experience in Operations Research, supply chain optimization, data science, and forecasting, including ownership of MEIO or similar inventory optimization solutions.
  • Experience with stochastic optimization, robust optimization, scenario planning, or simulation.
  • Industry experience in consumer goods, retail, manufacturing, or distribution networks.

Responsibilities

  • Develop and maintain SQL-based ETL processes and data pipelines to support optimization models and scenario analysis.
  • Create and deploy time-series forecasting and machine learning models to enhance demand planning.
  • Lead the development and ownership of MEIO models, translating business requirements into scalable decision-support solutions.
  • Collaborate with data engineering teams to ensure data quality and integrity for model inputs.
  • Establish governance and monitoring practices to ensure model outputs are accurate and production-ready.
  • Drive the operationalization of solutions through user training and ongoing support.

Skills

Stochastic optimization
Forecasting
MEIO optimization
Time-series analysis
Machine learning
ETL

Tools

Python
Gurobi
Pyomo
SQL

Job description

Immediate need for a talented Data Scientist. This is a 06+months contract opportunity with long-term potential and is located in Philadelphia, PA(Hybrid).

Job ID:26-32419

Pay Range: $70 - $75/hour. Employee benefits include, but are not limited to, health insurance (medical, dental, vision), 401(k) plan, and paid sick leave (depending on work location).

Key Responsibilities:

  • Develop and maintain SQL-based ETL processes and data pipelines to support optimization models and scenario analysis.
  • Create and deploy time-series forecasting and machine learning models to enhance demand planning.
  • Lead the development and ownership of Multi-Echelon Inventory Optimization (MEIO) models, translating business requirements into scalable decision-support solutions.
  • Collaborate with data engineering teams to ensure data quality and integrity for model inputs.
  • Establish governance and monitoring practices to ensure model outputs are accurate and production-ready.
  • Drive the operationalization of solutions through user training and ongoing support.

Key Requirements and Technology Experience:

  • Experience with stochastic optimization, robust optimization, scenario planning, or simulation.
  • Industry experience in consumer goods, retail, manufacturing, or distribution networks.
  • 6+ years of experience in Operations Research, supply chain optimization, data science, and forecasting, including direct ownership of MEIO or comparable inventory optimization solutions.
  • Strong understanding of multi-echelon inventory optimization and safety stock principles.
  • Proficiency in Python and optimization frameworks such as gurobipy and Pyomo.
  • Advanced SQL skills, including ETL and data transformation.
  • Experience with Gurobi or comparable commercial solvers is preferred.
  • Strong foundation in data science and forecasting techniques, including time-series and machine learning methods.

Our client is a leading Telecommunications Industry, and we are currently interviewing to fill this and other similar contract positions.

Pyramid Consulting, Inc. provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws.

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