Staff Data Scientist, FLYR
+Equity
More information about location
3 days a week in office
Revenue operating system for travel & transport
Open for applications
Revenue operating system for travel & transport
501-1000 employees
Open for applications
+Equity
More information about location
3 days a week in office
501-1000 employees
Company mission
To relentlessly apply advanced and intuitive technologies that help transportation leaders unlock their ultimate potential.
Role
Who you are
- You like building models and understanding the math behind them. You will build models and architectures from scratch based on AI research papers and your own knowledge and experience
- You have built models based on modern Reinforcement Learning and ML techniques. Attention, unsupervised RL, planning, simulation, they all play a role in modern optimal control algorithms. At this level, we expect you to hit the ground running and identify ways of improving our current models for better qualitative behaviors and higher quantitative performance
- You like writing production-ready software in Python to implement your models. At FLYR we believe that the most efficient way to design a model that will work in production is to let the model designers do the implementation and validation. Python (and relevant libraries like Tensorflow and numpy) will be your best ally in that exercise
- You are meticulous about the quality of your code. Code not tested is most likely wrong. You care about your code being correctly implemented and understandable. Unit testing, validation pipelines and monitoring pipelines are all helpful tools to make sure your code is behaving as expected, and you are keen on working on them
- You understand and enjoy the challenges of building algorithmic systems. You have built scalable systems in the past. You can skillfully use SQL for data access and manipulation
- You understand the value and limitations of different technologies, such as Google Cloud Storage, VertexAI, and BigQuery, and can collaborate with engineers on making architectural decisions about scalable systems
- You want to succeed as a team. We hope you enjoy working in a cross-functional team, and understand that everyone from developers and data scientists all the way to customer success play an equally important role in a company
- You take ownership of your work. The team will rely on your expertise and collaboration to solve our algorithm design and implementation problems. This role is suited to someone who likes to work with autonomy within a team of skillful peers
What the job involves
- In this role, you will work on Reinforcement Learning pricing 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
- FLYR already boasts of a first-of-its-kind RL pricing product, which has provided positive outcomes against legacy providers in controlled experiments
- You would play a critical role in defining incremental as well as transformational improvements to the algorithms underlying this product, and help with further product development necessitating this technology
- The work of the data science team is based on end-to-end ownership of models and reproducibility. Model improvements are driven by demonstrability of their impact on our clients in our sophisticated validation framework that mimics CI/CD for software projects
- A bit more about our data science stack, used across our different data science teams, some of which successful candidates will work with:
- Python, Pandas, Polars, SciPy, Scikit-learn, NumPy
- Tensorflow, Dask, dagster and Gurobi to run our models
- Looker for our internal analytics
- Cloud-native technologies and DevOps practices for experimentation and seamless production operations
- Work with product and data science management to develop key results for given product objectives
- Lead technical efforts to improve the performance of deployed models and propose initiatives to shape the long-term scientific vision
- Apply state-of-the-art reinforcement learning techniques to pricing problems
- Own and actively contribute to the design and development of internal machine learning, pricing and optimization libraries
- Establish scalable and efficient practices for data mining, ML model development, validation and inference
- Stay up-to-date on the most recent advances in AI and machine learning
Our take
The airline industry is gargantuan, being responsible for hundreds of billions of revenue per year, and yet in managing their revenue, airline operators have traditionally used relatively simplistic regression models based on few variables. FLYR’s deep learning platform dramatically upgrades airline’s pricing strategy by ingesting a whole host of data provided by the airline to predict demand and revenue, and set the price.
FLYR’s technology takes into account information such as bookings, accounting data, searches, capacity, and even weather and promotions. After proving itself capable of delivering 5%-plus revenue uplifts for airlines, the company began fleshing out its offerings to keep up with the requirements of its large and growing customer base.
FLYR have made a significant number of acquisitions in recent years; including Pace Revenue, a UK-based seller of rate-setting tools for hotels and lodging companies. This activity tunes in to the expectation that the company will bring its sophisticated pricing models to other sectors of the travel industry. FLYR has also gained new partner airlines in JetBlue and Azul, showing that its core offering has not lost any of its traction.
Freddie
Company Specialist at Welcome to the Jungle
Insights
Some candidates hear
back within 2 weeks
Company
Funding (last 2 of 7 rounds)
Aug 2024
$225m
SERIES D
Sep 2021
$150m
SERIES C
Total funding: $390.3m
Company benefits
- Medical, Dental & Vision
- Retirement with company-match to support your investments
- Generous PTO
- A dedicated learning budget to support everyone’s growth
- Home office reimbursements
- Perks include modern offices stocked with snacks and beverages, lunch reimbursements, and social events
Company values
- Navigate Together - Create a culture where everyone is welcome, achievements are celebrated together, and timing is everything.
- Act as an Owner - Never settle for mediocrity or compromise integrity. Understand the big picture and recognize the impact of each contribution.
- Communicate Fearlessly - Be present, offer constructive, timely feedback and ideas. Equip others with the information needed to succeed.
- Embrace Intellectual Curiosity - Experiment, learn and adjust. Make decisions with high conviction and let data lead the way. Fail fast, win faster.
Company HQ
Pico, Santa Monica, CA
Articles
Leadership
Alex Mans
(CEO)Serial entrepreneur who founded successful startups in the Network Security and HealthTech space in Amsterdam before founding FLYR Labs.
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