Staff Data Scientist

Data Science is at the core of all of our products, with a dynamic roadmap and even more ambitious vision. To expand our capabilities and develop new features end-to-end, we are looking for an experienced Staff Data Scientist for a product-focused Data Science team based primarily in San Francisco. Team data scientists will design, prototype, implement, test, and document machine learning and optimization solutions to airline and air cargo problems.

• You will own mission-critical projects to launch new models and capabilities that have an instant meaningful impact for FLYR’s products with major airline brands. 
• You will explore, wrangle, and analyze large airline datasets to inform domain understanding, problem framing, and to perform feature engineering using SQL, Python, and Colab notebooks. 
• You will use agile and scalable practices for model prototyping, enhancement, evaluation, and productization using Python, including Tensorflow and other ML libraries - pushing production code to the FLYR codebase.
• You will own responsibility for highly technical tasks and ensure successful project execution. 
• You will collaborate closely with other talented colleagues, such as delivery-focused Data Science teams and Data & ML Platform Engineers teams to build well-integrated products and to share learnings and best practices.
• You will collaborate in a fast-paced environment with other talented data scientists and engineers to solve ambitious and complex problems in the travel industry.
• You will deliver insight from analysis that provides quantitative support to product feature decision making.
• You will work with managers and domain experts to translate business objectives and requirements into functioning code related to feature engineering and model training/inference.
• You will act as a member of FLYR’s global data science organization, providing technical guidance and advice to other team members, and fostering a culture of collaboration and knowledge-sharing.

• Bachelor's or Master’s degree in applicable quantitative disciplines (computer science, engineering, statistics, math, or similar).
• Expert Python skills and tensorflow fluency. 
• Confidence in wrangling all types of data in SQL.
• Understanding of time-series data  and forecasting.
• 5+ Years of demonstrated experience delivering innovative data science work into commercial product offerings using Machine Learning. 
• Ability to clearly communicate status, blockers, risks and dependencies to the team and internal partners.
• Intellectually curious and driven to continually learn and expand your skill set.
• Interested in hands-on projects for overhauling the airline and travel industry.

• Significant professional experience writing production code for models with direct commercial applicability.
• Advanced understanding of optimization modeling (LP, MIP, DP) and/or Reinforcement Learning such as a PhD or hands-on experience in building optimization/decision systems in production.
• Experience delivering advanced econometric models at scale.
• Direct experience applying these in the fields of revenue management, logistics, supply chain, and/or network optimization is a plus.
• Strong understanding of deep learning methods (including RNN and CNN).
• Demonstrable track record of technical leadership with measurable results for external customers.
• Ability to fully own a project end-to-end, including communication with stakeholders and mentoring and leading peers on your team.
• Foundational understanding of statistical and algorithmic principles relevant to revenue management is also a strong 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)
• UberEats Credit - $20/week for remote, $30/month for hybrid 
• 100% paid Parental Leave for 12 weeks
• Annual educational fund
• $300 home office set-up stipend (one-time)