FLYR logo

Principal Data Scientist - FLYR

View Company Profile
Job Title
Principal Data Scientist
Job Location
San Francisco, California
Job Description

Our Vision

FLYR is focused on the relentless application of advanced and intuitive technologies that help transportation leaders unlock their ultimate potential.

FLYR is a technology company that is purpose-built for the travel industry. Leveraging deep learning, an advanced form of AI, FLYR is helping airlines, cargo, and hospitality businesses around the globe elevate their results. With FLYR, businesses are able to improve revenue performance and modernize the e-commerce experience through accurate forecasting, automation, and analytics.

Flight Itinerary (About The Role)

FLYR is on a mission to build the modern AI-enabled operating system for airlines. An important part of this mission is to develop a context-aware and data-driven revenue optimization system. 

In this role, you will work on neural network based pricing and forecasting models to improve the performance of FLYR’s revenue management product. Airline revenue management is a complex field with many legacy applications and is in much need of disruption. Successful outcomes will make a significant contribution to the state-of-the-art and empower airlines around the world to better compete.

We are a customer-centric and product-focused data science organization. We value ownership, technical excellence, bias towards action and delivering results to our customers. We are looking for highly passionate and capable team mates who are force multipliers.

This position is located in the U.S. and the ideal candidate will be able to join us in our San Francisco office.

Come onboard and lead FLYR to new heights with us!

What Your Journey Will Look Like (Responsibilities)

  • Work with product and data science management to develop key results for given product objectives.
  • Work with other technical product owners, lead data scientists and data science managers to develop technical solutions.
  • Act as a technical lead on projects aiming to improve performance of core pricing models and deliver results.
  • Own and actively contribute to the design and development of internal pricing, forecasting and optimization libraries.
  • Define and maintain science and engineering best practices in the form of processes.
  • Lead code reviews to identify issues, root causes and solutions.

What To Pack For This Trip (Qualifications)

  • Demonstrated ownership, bias for action and detail orientation through past experience.
  • Demonstrated ability to communicate technical work to technical and non-technical audiences.
  • Demonstrated ability to distill complex technical requirements down to modular, robust and maintainable systems designs.
  • In-depth understanding of machine learning and artificial neural networks.
  • 5+ Years experience as a Machine Learning Scientist, Data Scientist, or equivalent building decision or prediction systems at industrial scale.
  • 2+ Years experience in applying artificial neural networks to prediction/regression problems at industrial scale.
  • Demonstrated ability to iteratively improve artificial neural network models through methodical experimentation.
  • Strong software engineering skills and demonstrated ability to build enterprise-grade ML applications.
  • Demonstrated ability to step into a sophisticated technology stack and develop an understanding of its inner workings.
  • Demonstrated ability to develop a solid understanding of the business domain and its relation to model/system performance.
  • Strong data analysis skills and willingness to dive deep into data to identify root causes and drivers.
  • Demonstrated ability to provide guidance to junior engineers and scientists in technical areas.

Optional Carry-On (Preferred Qualifications)

  • Exposure to time-series analysis and forecasting.
  • Exposure to pricing algorithms and revenue management.
  • Experience working with Google Cloud Platform and Vertex AI.

First-Class Amenities

  • Equity in Series C startup with high growth potential
  • Comprehensive healthcare plans (Choice of PPO & HMO available)
  • Generous PTO policy and flexible working arrangements
  • 401K with company match
  • Free breakfast/Lunch (in-office) 
  • 100% paid Parental Leave for 12 weeks
  • Annual educational fund


Compensation: The salary range for this role is commensurate with experience and is as follows:
$192,000$269,000 USD

Our Commitment to Equality

Here at FLYR, we’re committed to growing with intention, having our teams better reflect the world around us. We strive to create an environment of inclusion and even more importantly, belonging, where psychological safety, empathy, and human connection are at the center of our leadership principles. Not only does this enable us to create better products and have a better work environment, it’s good for the bottom line and it’s the right thing to do.
FLYR provides equal employment opportunities to all employees and applicants for employment without regard to race, color, religion, gender identity, sex, sexual orientation, national origin, age, physical or mental disability, genetics, marital or veteran status. In addition to federal law requirements, FLYR complies with applicable state and local laws governing nondiscrimination in employment in every location in which the company operates.

Privacy Policy

All applicants, including those based in California or the EU, are encouraged to review our Privacy and Cookie Policy.

Discover job listings, tech companies, startups, investors, job listings, funding rounds, industries, and tech stacks.

Get EmployblBook a demo call


Get periodic emails about startups and the tech job market

Employbl Newsletter is about helping you find jobs and understand the tech job market. Read previous issues.

FLYR Headquarters Location

San Francisco, CA

View on map

FLYR Company Size

Between 200 - 500 employees

FLYR Founded Year


FLYR Total Amount Raised


FLYR Funding Rounds

View funding details
  • Series C

    $150,000,000 USD

  • Series B

    $22,000,000 USD

  • Series A

    $8,000,000 USD

  • Seed

    $500,000 USD

  • Seed

    $4,842,686 USD

  • Seed

    $1,500,000 USD