Data Scientist Summer Internship
ABOUT AGERO:
Agero is powering the next generation of software-enabled driver safety services and technology, pushing the limits of big data to transform the entire driving experience. The majority of leading vehicle manufacturers and insurance providers use Agero’s roadside assistance, accident management, dispatch, consumer affairs and telematics innovations to strengthen their businesses and create stronger, lasting connections with their customers. Together, we’re making driving smarter and safer for everyone.
ABOUT THE ROLE:
The Data Science and Analytics (DS&A) group at Agero is a central resource for innovative data products, scientific analysis, and actionable insights. We are a collaborative, consultative team that works cross functionally to:
- Support partners throughout the organization in making informed, data driven decisions,
- Unlock the value within our data to create innovative new product offerings, drive efficiency, and improve customer experience, and
- Provide greater access to information and insights through dashboards, data self-service tools, and training.
Agero believes that data is a key asset and a true competitive advantage.
This position is focused on driving innovation in the core business, including forecasting business KPIs, analyzing data from our extensive call-center operations and/or our network of roadside assistance service providers, and helping other groups understand and make use of the insights gained from the analyses in the Data Science and Analytics group.
KEY OUTCOMES:
- Participate in end-to-end data science projects from problem definition and data exploration to result validation and putting the project into production
- Communicate research results effectively in written and spoken forms to various audiences including product management, engineering, executives, and customers
- Research and experiment with Agero's extensive datasets to gain new insights and drive innovation
There are many other projects in the DS&A pipeline which this role may eventually work on, including but not limited to: spatial analysis of our network of Service Providers, leveraging weather and other real-time information to assist our operations, and other analyses to aid new product development and improve existing processes.
REQUIREMENTS:
- This experience could come from several paths: e.g., a Ph.D. in a technical field (physical science, engineering, mathematics, computer science), or a Master’s degree in a technical field
- Machine Learning and Modeling
- Statistics and data exploration
- Strong analytical coding skills (preferably in Python)
- Good communication skills both in written (technical documents, Python notebooks) and spoken (meetings, presentations) forms.
- Willing and able to learn and meet business needs
- Independent, self-organizing, and able to prioritize multiple complex assignments.
NICE TO HAVES:
- Experience with relational databases (preferably PostgreSQL/Snowflake)
- Experience with cloud computing (ideally AWS)
- Experience running jobs in Airflow
- Experience with forecasting methods and libraries (e.g., Prophet)
- Experience with PyMC3