Data Scientist

San Francisco, CA

Full Time USD 39K - 103K *
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AI-powered total revenue management software with forecast, pricing, and commercial optimization tools for airlines, travel, and transportation. Learn more.

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Our VisionFLYR 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 transportation 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, deep-learning-based methodology enables any airline to truly maximize their revenue and accurately forecast outcomes. To achieve this vision, we’re looking for an experienced 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. This role will play a key role in ensuring our customers see rapid time-to-value, applying her or his technical expertise, business acumen, and intuition for innovation to solve complex, applied data science problems.

What will your destination look like? (Responsibilities)

  •  Act as a thought leader and expert practitioner in our data-science center of excellence.
  • Influence and drive the strategic evolution of our real-time predictive models that will revolutionize revenue operations for the transportation industry. 
  • Develop scalable practices to implement model evolution, evaluation, and productization.
  • Engage with customers to understand their performance drivers and identity opportunities to improve our AI solutions offerings.   
  • Learn our customers’ business needs and apply business acumen to ensure successful delivery on highly-technical projects. 
  • Collaborate closely with FLYR’s Krakow Data Platform team to realize streamlined tools and workflows to deliver best-in-class ML models. 

What can you bring on this trip? (Requirements)

  • Bachelor’s and graduate degrees in applicable quantitative disciplines (computer science, engineering, statistics, math, or similar)
  • 2+ years of professional experience as a data scientist building models with direct commercial applicability
  • Demonstrable track record of technical leadership with measurable results for external customers
  • Expert Python skills and TensorFlow fluency
  • Foundational understanding of statistical and algorithmic principles, such as regression, tree-based methods, and deep learning (including RNN and CNN). Experience applying these in the fields of revenue management and/or network optimization is a plus

In-flight Amenities: (Perks & Benefits)

  • 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)
  • Uber Eats - $30/Monthly (Hybrid Employees)
  • 100% Paid Parental Leave for 12 Weeks
  • $300 Home office set-up stipend (one time)
Our Commitment to EqualityAt 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.

* Salary range is an estimate based on our salary survey at

Tags: Computer Science Deep Learning Engineering Machine Learning ML models Python RNN Statistics TensorFlow

Perks/benefits: 401(k) matching Career development Flex hours Flex vacation Home office stipend Parental leave Startup environment Travel

Region: North America
Country: United States
Job stats:  3  0  0
Category: Data Science Jobs
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