Remote Decision Scientist: Revenue, Pricing & Optimization

Apex Systems; Florida; Remote; USD 102,000 - 116,000; Full time

Benefits offered by this job

Health insurance

Dental insurance

Vision

Life Insurance

Short Term Disability

Hospitalization Coverage

Direct Deposit

Weekly Pay Periods

401k

ESPP

HSA

EAP with counseling

Job summary

Apex Systems, a world-class technology solutions provider, is seeking a Decision Scientist / Operations Research Scientist for a fully remote role in the United States. You will develop decision-science and optimization models addressing revenue management, forecasting, pricing, and resource allocation to drive measurable business value.

Ideal candidates have a Master’s or Ph.D. in Statistics, OR, or a related quantitative field, and experience with Python, R, SAS, or MATLAB.

Qualifications

• Master’s or Ph.D. in Statistics, Operations Research, Industrial Engineering, Mathematics, Machine Learning, Econometrics, or related quantitative field.
• Experience with optimization or decision-science domains: decision analysis, mixed-integer, nonlinear, stochastic optimization, or discrete-event simulation.

Responsibilities

• Develop decision science and optimization models to support business objectives.
• Collaborate with stakeholders to translate business challenges into quantitative solutions.
• Apply data analysis, statistical modeling, and mathematical optimization to revenue management, forecasting, pricing, and allocation problems.
• Present findings clearly to business partners and drive implementation.

Skills

Decision analysis

Optimization

Statistical modeling

Machine learning

Communication with stakeholders

Education

Master’s or Ph.D. in Statistics/OR/Industrial Engineering

Tools

Python

R

SAS

MATLAB

Julia

Job description

Apex Systems, a world-class technology solutions provider, is seeking a Decision Scientist / Operations Research Scientist for a fully remote role in the United States. You will develop decision-science and optimization models addressing revenue management, forecasting, pricing, and resource allocation to drive measurable business value.

Ideal candidates have a Master’s or Ph.D. in Statistics, OR, or a related quantitative field, and experience with Python, R, SAS, or MATLAB.