Remote Associate Data Scientist – Pricing & Revenue Optimization – arenaflex

About arenaflex – Pioneering the Future of Air Travel

arenaflex is a leading airline that connects millions of passengers across the United States and beyond. With a commitment to safety, sustainability, and innovative technology, arenaflex continuously re‑imagines how people fly. Our data‑driven culture empowers teams to turn complex challenges into actionable insights, delivering better pricing, smoother operations, and an exceptional customer experience. As we expand our remote workforce, we are looking for bright, analytical minds to join our Pricing & Revenue Management (PRM) team and help shape the next generation of airline economics.

Position Overview – Associate Data Scientist (Remote)

As an Associate Data Scientist on the PRM team, you will blend statistical research, machine learning, and product thinking to solve high‑impact business problems. You will work closely with pricing analysts, revenue managers, product owners, and engineering partners to design, build, and deploy models that drive revenue growth and operational efficiency. This role offers a direct line of sight to the results of your work, a collaborative environment that encourages innovative thinking, and the flexibility to work from anywhere in the United States while staying connected to our Denver headquarters.

Key Responsibilities

• Model Development & Deployment: Design, implement, and communicate advanced quantitative analyses and predictive models using statistical research, machine learning, and product management techniques to influence pricing and revenue decisions.
• Data Engineering: Apply data‑wrangling and pipeline‑building skills to clean raw data, create robust data streams, and ensure models run reliably in production environments.
• Cross‑Functional Collaboration: Partner with pricing, revenue, product, and engineering teams to deeply understand business problems, refine existing models, and develop new analytical solutions.
• Stakeholder Communication: Present findings and model outcomes to senior leadership, translating complex technical concepts into clear business recommendations.
• Programming & Code Quality: Write production‑grade code in Python, SQL, or other relevant languages; maintain coding standards, participate in code reviews, and document workflows, models, and scripts.
• Experimentation & Insight Generation: Formulate hypotheses, run experiments, and interpret results to uncover actionable insights and identify opportunities for automation.
• Mentorship & Team Development: Coach junior analysts and collaborate with peers to foster a culture of continuous learning and knowledge sharing.
• Documentation & Reporting: Produce clear documentation of analytical processes, model assumptions, and performance metrics for auditability and future reference.

Essential Qualifications

• Bachelor’s degree in Finance, Computer Science, Statistics, Mathematics, Engineering, or a related quantitative discipline.
• 0–2 years of professional experience applying statistical analysis or machine‑learning techniques to real‑world problems.
• Proficiency in Python and SQL; familiarity with R or other analytical languages is a plus.
• Hands‑on experience with data manipulation, exploratory analysis, and building predictive models (e.g., regression, classification, time‑series forecasting).
• Strong quantitative and analytical abilities, with a demonstrated capacity to translate business questions into data‑driven solutions.
• Excellent written and verbal communication skills, capable of presenting technical findings to non‑technical audiences.
• Ability to work both independently and collaboratively in a fast‑paced, remote environment.

Preferred Qualifications

• Master’s degree in a quantitative field such as Data Science, Applied Mathematics, or Operations Research.
• Experience in airline pricing, revenue management, or a related transportation industry.
• Familiarity with cloud platforms (AWS, GCP, Azure) and containerization technologies (Docker, Kubernetes).
• Exposure to big‑data tools (Spark, Hadoop) and modern data‑pipeline frameworks (Airflow, dbt).
• Knowledge of A/B testing frameworks and experimental design.
• Prior involvement in end‑to‑end model deployment, monitoring, and maintenance.

Core Skills & Competencies

• Statistical & Machine‑Learning Expertise: Ability to select appropriate algorithms, tune hyper‑parameters, and evaluate model performance.
• Data Engineering Acumen: Skill in building scalable data pipelines, ensuring data quality, and handling large datasets.
• Product Mindset: Understanding of how analytical solutions translate into product features and business impact.
• Problem‑Solving Orientation: Proactive in identifying gaps, proposing innovative approaches, and iterating quickly.
• Collaboration & Influence: Comfortable partnering with diverse stakeholders and influencing decisions through data‑driven storytelling.
• Adaptability: Thrive in a dynamic environment where priorities shift and new challenges emerge regularly.

Career Growth & Learning Opportunities

arenaflex invests heavily in the professional development of its employees. As an Associate Data Scientist, you will have access to:

• Mentorship from senior data scientists and revenue experts.
• Sponsored certifications (e.g., AWS Certified Machine Learning, Google Cloud Professional Data Engineer).
• Internal learning portals, workshops, and hackathons focused on advanced analytics and AI.
• Clear promotion pathways to Senior Data Scientist, Analytics Lead, or Product Manager roles within the PRM organization.
• Opportunities to work on cross‑functional projects that influence company‑wide strategy, giving you a broad view of the airline business.

Compensation, Perks & Benefits

arenaflex offers a competitive hourly rate ranging from $20 to $30, commensurate with experience and skill level. In addition to base compensation, you will enjoy a comprehensive benefits package that includes:

• Health, dental, and vision insurance with multiple plan options.
• 401(k) retirement plan with company match.
• Generous paid time off, holidays, and flexible vacation policy.
• Remote‑work stipend covering home‑office equipment, high‑speed internet, and coworking‑space access.
• Employee assistance program, wellness resources, and mental‑health support.
• Travel perks such as discounted airline tickets for you and eligible family members.
• Continuous learning budget for courses, conferences, and professional memberships.

Work Environment & Culture at arenaflex

Whether you choose to work from our Denver headquarters or from any location across the United States, you will be part of a culture that values:

• Innovation: We encourage experimentation and reward ideas that improve efficiency and customer experience.
• Inclusivity: A diverse workforce where every voice is heard and respected.
• Collaboration: Regular virtual coffee chats, cross‑team syncs, and an open‑door leadership philosophy.
• Work‑Life Balance: Flexible schedules, remote‑first policies, and a supportive environment for personal commitments.
• Safety & Sustainability: Commitment to environmentally responsible operations and industry‑leading safety standards.

Our office in Denver is a modern, climate‑controlled space equipped with collaborative zones, quiet focus rooms, and a vibrant break area. For remote employees, we provide a robust digital infrastructure, including secure VPN access, collaboration tools (Slack, Teams, Confluence), and regular virtual team‑building events.

How to Apply

If you are passionate about turning data into strategic advantage and want to grow your career within a forward‑thinking airline, we want to hear from you. Click the link below to submit your application, attach your resume, and share a brief cover letter outlining why you are the perfect fit for this role at arenaflex.

Apply Job!

Join arenaflex – Where Data Takes Flight

At arenaflex, your analytical expertise will directly influence the way millions of travelers experience air travel. Join a team that values curiosity, rigor, and impact. Apply today and help us chart the future of pricing and revenue management.