Position Summary:

This position is focused on driving innovation in the core business, including but not limited to, predicting operations performance, short-term forecasting, improving dispatching efficacy, simulation and analyzing data from our network of roadside assistance service providers and extensive call-center operations. An ideal candidate would assist stakeholders in understanding and making use of insights gained from statistical analyses and building predictive models. The platform machine learning team is a highly collaborative cross-functional team with Machine Learning engineers, data scientists, software engineers and product management, working together to power the next wave of ML-driven platform enhancements.

Essential Functions:

• Participate in end-to-end data science projects from problem definition and data exploration to result validation and working with engineers to put models in production.
• Communicate research results effectively in written and spoken forms to various audiences including product management, engineering and executives.
• Research and experiment with Agero's extensive datasets to gain new insights and drive innovation.

Possible Projects (within the first 6-12 months):

• Conduct analysis to help optimize the performance of our dispatching operations.
• Predictive modeling of job performance indicators to help improve customer satisfaction.
• Spatial analysis of our service jobs, leveraging weather and other real-time information to assist our operations.
• Develop ETA prediction models, employing data fusion techniques to improve accuracy.

Requirements:

Education/Experience

This position requires 5+ years of equivalent experience. This experience could come from several paths: e.g., a Ph.D. in a technical field (physical science, engineering, mathematics, computer science, operations research, management science), or a Master’s degree in a technical field and 3+ years relevant experience, or a Bachelor’s degree in a technical field and 5+ years relevant experience.

Skills

• Statistics and data exploration, knowledge of EDA best practices
• Advanced SQL experience, experience with Snowflake a plus
• Experience with A/B testing: designing, sizing and post-analysis
• Machine Learning with tabular data: knowledge of modeling with tree-based models like XGBoost
• Strong analytical coding skills in Python, proficient with Python data stack (Pandas, Numpy, Scipy, Matplotlib, PyTorch)
• Good communication skills both in written (technical documents, Python notebooks) and spoken (meetings, presentations) forms
• Willing and able to learn and meet business needs, understanding the underlying context
• Independent, self-organizing, and able to prioritize multiple complex assignments

Nice to Haves

• Experience running jobs on Airflow or similar orchestrators
• Experience with cloud computing (ideally AWS)
• Experience with forecasting methods and libraries (e.g., Prophet)
• Experience with PyMC3 or PyStan is a plus
• Experience with Geospatial data is a plus

Hiring In:

• United States:  AZ, FL, GA, NH, IL, KY, MA, MI, NC, NM, TN, VA, CA
• Canada: Province of Ontario
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