Staff Data Scientist

Key Skills

Java Programming, Python Programming, C++, C Programming, SQL, Cloud computing, Scala Programming, Machine learning techniques, Data science techniques, MATLAB Programming, PyTorch, TensorFlow, R Programming

Job Description

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.

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 experienced Data Scientists for a new high-performing product-focused Data Science team based primarily in San Francisco. Team data scientists will design, prototype, implement, test, and document production machine learning solutions to airline and transportation problems.

What will your destination look like at FLYR? (Responsibilities)

• 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, Beam, Python, and Colab notebooks. 
• You will use agile and scalable practices for model prototyping, enhancement, evaluation, and productization using standard Python, 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.

What should you pack for this trip? (Qualifications)

• 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.
• 2 - 4 Years of demonstrated experience delivering innovative data science work into commercial product offerings using Machine Learning. 
• Foundational understanding of statistical and algorithmic principles relevant to revenue management and network optimization is preferred.
• 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.

Extra Baggage: (Staff level candidates will also meet these qualifications)

• Significant professional experience (5+ years) as a data scientist or machine learning engineer writing production code for models with direct commercial applicability.
• Demonstrable track record of technical leadership with measurable results for external customers.
• Strong understanding of deep learning methods (including RNN and CNN).
• Direct 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
• Uber Eats - $30 Daily while in office, and $30/Monthly (Hybrid Employees)
• 100% Paid Parental Leave for 12 Weeks
• $300 Home office set-up stipend (one time)

Candidate Selection Process:

• Initial Screen - Active candidate profiles are screened against the criteria listed above
• Introductory Call - A hiring manager at FLYR will reach out for an initial conversation with candidates.
• Skills Challenge - A technical challenge where you get show off your skills!
• Onsite/Virtual Onsite - A series of meetings with the hiring team to finalize our evaluation of candidates, assessing leadership, project management, and technical skills.

Our Journey

Founder and CEO 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 Los Angeles with offices in San Francisco, Dallas, Krakow, and Amsterdam.