Associate Data Scientist - PRM
The Associate Data Scientist in Pricing & Revenue Management at Confidential Client applies advanced quantitative methods, including operations research and machine learning, to develop and deploy models that optimize pricing and revenue strategies. This role involves collaborating with cross-functional teams to automate processes, generate actionable insights, and continuously improve analytical tools and systems in a hybrid remote work environment.
About Careertakes
👉 Important disclosure: Careertakes is a third-party recruiting platform supporting this hiring process. If selected, you will be employed directly by our client, Airlines and Aviation.
Applicants for this role may also receive access to additional matched opportunities through the Careertakes platform.
What You’ll Do
The Associate Data Scientist — Pricing & Revenue Management (PRM) will partner with PRM stakeholders to design, build, and deploy quantitative solutions that improve pricing, yield, and ancillary revenue decisions. You will work across data engineering, statistical modeling, operations research, and product-focused deployment to turn insights into automated systems or analyst-facing tools.
- Design and deliver advanced quantitative analyses and predictive/optimization models using operations research, statistics, and machine learning
- Build and maintain data pipelines, clean datasets, and prepare model inputs using Python, SQL, and modern data engineering practices
- Deploy models and automated solutions to production or structured analyst workflows
- Collaborate closely with pricing, yield management, and ancillary teams to translate business problems into analytic solutions
- Present model results, recommendations, and tradeoffs to stakeholders and senior leadership
- Develop testable hypotheses, run experiments or backtests, and interpret results rigorously
- Create and maintain code standards, participate in code reviews, and document models and workflows
- Mentor junior team members and contribute to continuous improvement of processes and tools
Qualifications
- Bachelor’s degree (required) in Economics, Computer Science, Statistics, Mathematics, Engineering, or a related field; Master’s preferred
- 0–2 years of relevant professional experience (entry-level to early career)
- Professional experience with SQL and Python; experience with R is a plus
- Experience applying statistical analysis in a professional setting
- Experience or familiarity with airline pricing, revenue management, revenue analytics, or related domains is preferred
Knowledge, Skills & Abilities
- Strong quantitative and analytical skills; comfortable building and validating statistical or optimization models
- Working knowledge of operations research, statistical modeling, and machine learning techniques
- Ability to convert economic/pricing concepts into analytical code and model features
- Clear written and verbal communication; able to summarize technical approaches for non-technical stakeholders
- Attention to detail for reporting and reproducibility
- Collaborative approach to working across teams and functions
Compensation & Benefits
- Salary range (Colorado posting): $62,000 - $86,366 per year
- Benefits may include medical, dental, vision, 401(k), paid time off, and travel privileges, depending on role and eligibility
- Note: This posting includes a salary range to comply with applicable pay transparency laws. The final offer will consider experience, skills, and local regulations.
Work Environment & Additional Info
- Typical office environment; hybrid schedule may be available for eligible headquarters roles in Denver, CO. Remote work options may be available depending on team needs.
- Equipment operated: standard office computer equipment
- Supervision: general direction; incumbent typically works with autonomy on day-to-day tasks
- This job description is illustrative and not exhaustive. Duties and expectations may change.
Colorado applicants: you may redact or remove age-identifying information (age, date of birth, or dates of school attendance/graduation) from materials you submit without penalty.
Equal Opportunity & Hiring Transparency
Careertakes and our client are Equal Opportunity Employers committed to building a diverse and inclusive workforce. We prohibit discrimination or harassment of any kind. To support a fair and efficient hiring process, AI tools may be used to assist with application review or resume screening. These tools do not replace human decision-making. Final hiring decisions are made by people.
If you have questions about how your data is used, please contact us directly.
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