Machine Learning Engineer jobs in United States

Job Profile

As a Senior Data Scientist, you have an unparalleled opportunity to use your quantitative skills in statistics, machine learning, operations research, and programming skills in Python and SQL. You will answer high impact open questions for the business team, prototype ML algorithms, productize the algorithm in collaboration with the team. You will be collaborating with Product Managers, Engineers, other Data Scientists/Engineers and Product Analysts to solve many complex problems while having a lot of fun. The team is growing exponentially offering ample opportunity to own additional responsibilities and disrupt the private jet aviation space. This is a unique opportunity for you, as a data scientist to join a strong, and high growth company early in its lifecycle and help us define and realize our vision.

• Defining and evaluating key metrics for fleet network optimization
• Creating forecast models for demand and supply to enable fleet balancing
• Lead, build, and maintain machine learning models that are core to our success as a marketplace for private aviation.
• Performing customer segmentation and analysis based on various features to understand customer behaviors.
• Performing model evaluation and testing to improve accuracy and robustness
• Maintain and update machine learning models to stay ahead of the change
• Summarizing results and building dashboard to present findings to guide other stakeholders to make data driven decisions
• Work with product managers and engineers to turn prototypes into robust, reliable solutions

• Master’s degree in a quantitative field like Math, Statistics or Machine Learning.
• 5+ years experiences of professional industry experience in machine learning (Experience with models and analysis for network optimization and experimentation a plus)
• Good understanding of machine learning algorithms and statistics and ML model development with prototyping
• Proficient in Python and SQL
• Experience with data visualization and cloud computing tools
• Ability to communicate clearly and effectively to cross functional partners of varying technical levels
• Experience with MLOps, worked on platforms such as Sagemaker etc.