Data Scientist
San Francisco, CA
FLYR
AI-powered total revenue management software with forecast, pricing, and commercial optimization tools for airlines, travel, and transportation. Learn more.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)
* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
Tags: Computer Science Deep Learning Engineering Machine Learning Mathematics 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
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