Senior Data Scientist (Platform)

About Agero:

Wherever drivers go, we’re leading the way. Agero’s mission is to rethink the vehicle ownership experience through a powerful combination of passionate people and data-driven technology, strengthening our clients’ relationships with their customers. As the #1 B2B, white-label provider of digital driver assistance services, we’re pushing the industry in a new direction, taking manual processes, and redefining them as digital, transparent, and connected. This includes: an industry-leading dispatch management platform powered by Swoop; comprehensive accident management services; knowledgeable consumer affairs and connected vehicle capabilities; and a growing marketplace of services, discounts and support enabled by a robust partner ecosystem. The company has over 150 million vehicle coverage points in partnership with leading automobile manufacturers, insurance carriers and many others. Managing one of the largest national networks of service providers, Agero responds to approximately 12 million service events annually. Agero, a member company of The Cross Country Group, is headquartered in Medford, Mass., with operations throughout North America. To learn more, visit https://www.agero.com/.

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
• #LI-REMOTE

D, E & I Mission & Culture at Agero:

We are all Change Drivers at Agero. Each day, we speak to thousands of drivers and tow professionals across one of the most diverse countries in the world. Our mission to safeguard drivers on the road, strengthen our clients’ relationships with their drivers, and support the communities we live and work in unites us together as one force driving positive change.

The road to positive change starts inside Agero. In celebrating each other’s differences, we lift each other up and create space for innovation and community. Bringing our whole selves to work powers our commitment, drive, agility, and courage - ensuring we are not only changing the landscape of the driver services industry, we also are making a difference in the lives of our customers with each call, chat, and rescue.

THIS DESCRIPTION IS NOT INTENDED TO BE A COMPLETE STATEMENT OF JOB CONTENT, RATHER TO ACT AS A GUIDE TO THE ESSENTIAL FUNCTIONS PERFORMED. MANAGEMENT RETAINS THE DISCRETION TO ADD TO OR CHANGE THE DUTIES OF THE POSITION AT ANY TIME.

To review Agero's privacy policy click the link: https://www.agero.com/privacy.

***Disclaimer: Agero is committed to creating a diverse and inclusive environment and encourages applications from all qualified candidates. Accommodation is available. Additionally, we offer accommodation for applicants with disabilities in our recruitment processes. If you require accommodation during the recruitment process, please contact [email protected].

***Agero communicates with candidates via text for matters related to submitted applications, questions, and availability for interviews. If you prefer not to receive texts, you can contact Agero's recruiting team directly at [email protected].