Bachelor's or Master's degree in Industrial Engineering, Operations Research, Analytics, or a related field
Proficiency in SQL, Python, R, MATLAB, Tableau, TensorFlow, and Keras API
Strong analytical and problem-solving abilities
Experience in operational modeling and data analysis
Familiarity with cross-departmental collaboration
Responsibilities
Collaborate across departments to address operational issues and improve processes
Identify management objectives and define operational system needs
Analyze existing operational systems for efficiency and effectiveness
Gather and validate data requirements for operational improvement
Design and evaluate experimental operational models where necessary
Formulate mathematical models for analyzing operational problems
Perform periodic testing and validation of operational models
Prepare and present analytical reports to management on alternatives and solutions
Benefits
401(k) matching contributions
Comprehensive health insurance including medical, vision, and dental
Paid time off for vacation, sick days, and holidays
Access to on-site amenities such as a gym, pool, and game rooms
Team-building activities to enhance workplace culture
Employee discounts available
Referral bonuses for bringing in new talent
Complimentary coffee and snacks on site
Full Job Description
Job Description
Benefits & Compensation:
401(k) Matching
Health Insurance: Medical, Vision, and Dental
Paid Time Off: Vacation, Sick, and Holidays
On-site Amenities: Gym, Pool, Game Rooms, etc.
Team Building
Employee Discount
Employee Referral
Coffee and Snacks
Job Duties:
Collaborate with other departments to identify operational issues, including marketing processes, purchasing, logistics optimization, and customer satisfaction;
Identify and clarify management objectives and operational system needs;
Observe current operational systems and gather and analyze information regarding each component of the system;
Define data requirements and gather and validate operational information;
Specify manipulative or computational methods to be applied to operational models;
Design, conduct, and evaluate experimental operational models when models cannot be developed from existing data;
Formulate mathematical or simulation models of operational problems, including constants, variables, restrictions, alternatives, conflicting objectives, and numerical parameters;
Perform periodic validation and testing of models to ensure adequacy and reformulate models as necessary;
Study and analyze information regarding alternative courses of action;
Use mathematical modeling to track process improvements;
Prepare reports advising departments and management on the impact of different courses of action to address operational issues;
Collaborate with Market Research Analysts to prepare data analysis reports;
Prepare reports of findings and present results to management of various departments;
Collaborate with management to ensure successful implementation of selected problem solutions.
Requirements:
Field (s) of study required: Industrial Engineering, Operations Research, Analytics, or related fields
Skills: SQL, Python, R, MATLAB, Tableau, TensorFlow, Keras API
