

TechLink Resources, Inc
Decision Scientist - NO H-1B / NO C2C / NO OPT
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Decision Scientist with a contract length of unspecified duration, offering a competitive pay rate. Key skills include optimization techniques and proficiency in programming languages such as Python, R, and Java. A Master's or Ph.D. in a relevant field is required.
🌎 - Country
United States
💱 - Currency
$ USD
-
💰 - Day rate
680
-
🗓️ - Date
March 10, 2026
🕒 - Duration
Unknown
-
🏝️ - Location
Remote
-
📄 - Contract
Corp-to-Corp (C2C)
-
🔒 - Security
Unknown
-
📍 - Location detailed
United States
-
🧠 - Skills detailed
#Statistics #SAS #R #Python #ML (Machine Learning) #Forecasting #C++ #Matlab #Mathematics #Data Mining #Java
Role description
Decision Scientist
Responsibilities:
• Achieve business goals and objectives—Research and develop decision science models and act as a consultant to all business units within The Company
• Pursue innovation—Conduct research on analytical techniques and translate that research into usable and sustainable solutions for users
• Put your skills to the test—Perform data collection and data mining, and build state-of-the-art decision science algorithms, tools, and systems
• Drive value—Model and analyze revenue management and pricing related issues using various mathematical, statistical, and simulation techniques
• Tell the story—Present science results to business partners and clients
• Support a global and enterprise-wide mission—Identify and apply best practices in the field of advanced analytics for multiple businesses
Basic Qualifications:
• Optimization (at least one topic):
o Decision analysis or multiple criteria decision making
o Mixed-integer optimization
o Nonlinear optimization
o Stochastic optimization
o Discrete-event simulation and stochastic models
• Must exhibit competence in at least one computing topic:
o General computing (Python, Java, C, C++, etc.)
o Statistical computing (R, SAS, etc.)
o Scientific computing (Julia, MATLAB, etc.)
How to Stand Out:
• Proven knowledge of revenue management context, including demand forecasting, resource allocation, and pricing
Education: Master’s or Ph.D. degree in Statistics, Operations Research, Industrial Engineering, Mathematics, Machine Learning, Econometrics, or related field
Preferred Education: Ph.D. degree
Additional Information:
Work Location: 100% Remote
• Can work on either coast but will need to work East Coast work hours due to the team and hiring manager being located in Orlando, FL.
General computing (Python, Java, C, C++, etc.)
o Statistical computing (R, SAS, etc.)
o Scientific computing (Julia, MATLAB, etc.)
Decision Scientist
Responsibilities:
• Achieve business goals and objectives—Research and develop decision science models and act as a consultant to all business units within The Company
• Pursue innovation—Conduct research on analytical techniques and translate that research into usable and sustainable solutions for users
• Put your skills to the test—Perform data collection and data mining, and build state-of-the-art decision science algorithms, tools, and systems
• Drive value—Model and analyze revenue management and pricing related issues using various mathematical, statistical, and simulation techniques
• Tell the story—Present science results to business partners and clients
• Support a global and enterprise-wide mission—Identify and apply best practices in the field of advanced analytics for multiple businesses
Basic Qualifications:
• Optimization (at least one topic):
o Decision analysis or multiple criteria decision making
o Mixed-integer optimization
o Nonlinear optimization
o Stochastic optimization
o Discrete-event simulation and stochastic models
• Must exhibit competence in at least one computing topic:
o General computing (Python, Java, C, C++, etc.)
o Statistical computing (R, SAS, etc.)
o Scientific computing (Julia, MATLAB, etc.)
How to Stand Out:
• Proven knowledge of revenue management context, including demand forecasting, resource allocation, and pricing
Education: Master’s or Ph.D. degree in Statistics, Operations Research, Industrial Engineering, Mathematics, Machine Learning, Econometrics, or related field
Preferred Education: Ph.D. degree
Additional Information:
Work Location: 100% Remote
• Can work on either coast but will need to work East Coast work hours due to the team and hiring manager being located in Orlando, FL.
General computing (Python, Java, C, C++, etc.)
o Statistical computing (R, SAS, etc.)
o Scientific computing (Julia, MATLAB, etc.)





