Agero
Senior Data Scientist (Platform)
Agero, Nashville, Tennessee, United States,
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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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
#J-18808-Ljbffr