Mid/Senior Data Scientist
Data
Mid/Senior Data Scientist
Kraków
Type of work
Undetermined
Experience
Mid
Employment Type
Permanent
Operating mode
Office
Tech stack
SQL
Data Science
Python
Job description
Online interview
Our Vision
FLYR Labs is focused on the relentless application of advanced and intuitive technologies that help transportation leaders unlock their ultimate potential.
Starting with airlines, we provide the Cirrus Revenue Operating System™ that reshapes how travel and transportations businesses plan their commercial operation. We displace legacy data, forecasting, pricing, and reporting solutions with a single enterprise SaaS platform that leverages the latest advancements in deep learning, cloud computing, and user experience.
Our hyper-accurate contextual forecasts enable the most effective scheduling, marketing, and leadership decisions while directly managing the pricing for billions of dollars worth of product and revenue.
Our data-driven, the deep-learning-based methodology enables any airline to truly maximize their revenue and accurately forecast outcomes, even under unprecedented conditions such as COVID-19. To achieve this vision, we’re looking for a talented Data Scientist to join our leading-edge, enterprise customer implementation team. This team delights new customers throughout the onboarding process, applying best-in-class AI solutions that revolutionize their revenue operations. The Data Scientist will play a key role in ensuring our customers see rapid time-to-value, applying her or his technical expertise to build, implement and maintain complex and performant models.
What will your destination look like at FLYR?
- Influence the strategic evolution of our real-time predictive models that will revolutionize revenue operations for the transportation industry.
- Deploy and iterate on scalable practices for model evolution, evaluation, and productization.
- Engage directly with customers through presentations, ad hoc touch-points, Q&A, and explanation of model performance and behaviors.
- Own responsibility for highly technical tasks and ensure successful project execution.
- Collaborate closely with FLYR’s Data Platform team to communicate opportunities for tool improvements and to share learnings and best practices.
What can you bring on this trip?
- Bachelor's degree in applicable quantitative disciplines (computer science, engineering, statistics, math, or similar); graduate degree preferred
- Demonstrable experience as a data scientist building and evaluating models in industry or academia
- Expert Python and SQL skills
- Ability to clearly communicate status, blockers, risks and dependencies to FLYR and customer stakeholders
- Intellectually curious and driven to continually learn and expand your skillset
What can we offer you?
- B2B or Regular employment contract
- Flexible working hours
- Hybrid model of work
- Work equipment (macOS, keyboard and mouse)
- Medical care
- Sport card
- Training budget
- Lunches
- Many more!
Our Journey
Founder Alex Mans has built a team with a wide range of experiences in enterprise technology, aviation, and entrepreneurship. We are a dynamic and fast-growing travel tech start-up headquartered in San Francisco with offices in Los Angeles, Dallas, Krakow, and Amsterdam.
Our Progress
In September 2021, FLYR closed a $150M Series C funding round led by leading investment firms WestCap and Silverlake. This funding fuels FLYR’s ambitions and ensures our ability to continue to scale and invest in delivering best-in-class solutions for the transportation industry.
FLYR has drawn seasoned talent from PROS, Amadeus, American Airlines, Delta Airlines, General Electric, and Southwest Airlines to key product and operational roles. While serving the needs of airlines is FLYR’s primary focus, it is extending its technology across other travel and transportation industries through various strategic partnerships across rental cars, events, cargo, rail, and more
Our Commitment to Fairness
At FLYR, we are proud to be an equal opportunity workplace and embrace a commitment to have our teams better reflect the world around us as we scale the business.
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