Data Scientist/Senior Data Scientist - ML Analytics

Key Skills

Java Programming, Python Programming, SQL, Agile methodologies, Machine learning techniques, Data science techniques, Deep Learning, TensorFlow, Statistics, VR/AR frameworks

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 to join the Machine Learning Analytics team. ML Analytics is a dedicated team of Data Scientists, Data Analysts and ML Engineers responsible for the development of our ML model validation tooling and metrics that enable FLYR to decide where we should invest more time and attention in our algorithms.

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

• Own mission-critical projects to launch new models, model evaluation tools and capabilities that have an instant meaningful impact for FLYR’s products with major airline brands. 
• Explore, wrangle, and analyze large airline datasets to inform domain understanding, problem framing, and perform feature engineering using SQL, Beam, Python, and Colab notebooks. 
• Use Agile methodologies 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.
• Ensure successful project execution and be responsible for highly technical tasks. 
• Collaborate closely with other talented colleagues, such as delivery-focused Data Science teams and Data & ML Platform Engineering teams, to build well-integrated products and to share learning and best practices in a fast-paced environment.
• Deliver insights from analysis that provide quantitative support to product feature decision making.
• Work with managers and domain experts to translate business objectives and requirements into functioning code related to feature engineering and model training/inference.
• 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)

• +2 years of experience as a data scientist working on innovative commercial product offerings using Machine Learning
• Experienced with Python and TensorFlow or similar deep-learning frameworks. 
• Skilled in wrangling all types of data in SQL.
• Understanding of time-series data and forecasting.
• Bachelor's or Master’s degree in applicable quantitative disciplines (computer science, engineering, economics, statistics, math, or similar). 

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 to 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.