Data Scientist

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 t technical expertise, business acumen, and intuition for innovation to solve complex, applied data science problems.

• 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. 

• 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

• 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