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Summit Utilities
Join our Growing Team and see why Summit Utilities, Inc was named as one
of the Fastest Growing Denver Area Private Companies 2019 and 2020; Best
Places to Work in Maine 2019, 2020, 2021, 2022 and 2023; and Best Places
to Work in Arkansas 2020 and 2023, Oklahoma 2022 and 2023 and Missouri
2023. Summit was also recently named one of Forbes 2023 Americas Best
Small Employers.
Summit is a growing natural gas utility providing safe, reliable, and
clean burning natural gas service to homes and businesses in Arkansas,
Colorado, Maine, Missouri, Oklahoma, and Texas. Being part of the Summit
team means embracing excellence and innovation, committing to safety
each and every day, and doing all that we can to serve each other, our
customers, and the communities where we live. We aim to bring warmth and
energy to everything we do.
We have an exciting hybrid opportunity for an AI Data Scientist based in
Fort Smith, Little Rock, or Fayetteville, Arkansas.
POSITION SUMMARY
Summit Utilities is seeking a Data Scientist II to develop and deploy
data science solutions that support safe, reliable, and efficient
natural gas utility operations. Data Scientists at this level work with
moderate guidance to build, validate, and communicate statistical,
machine learning, and mathematical optimization model insights across a
range of operational and business use cases, including field operations
optimization, asset health/preventative maintenance and damage
prevention prediction, climate analysis/weather normalization, gas
supply planning, usage forecasting, and customer segmentation modeling.
This role sits within the AI and Digital Assets organization, working
directly with the AI and data engineering team and collaborating with
business partners across Operations, Customer Care, Regulatory, Finance,
and IT. Ideal candidates bring 24 years of applied data science
experience, strong Python and SQL skills, and knowledge of the Microsoft
Fabric ecosystem (or similar). Candidates with strong backgrounds in
statistics, mathematics, operations research, and computer science will
be considered.
PRIMARY DUTIES AND RESPONSIBILITIES
Build, validate, and iterate on mathematical optimization, statistical,
and machine learning models supporting natural gas demand forecasting,
weather normalization and climate analytics, asset health/preventative
maintenance, field operations optimization, and customer
segmentation-type use cases.Perform feature engineering on datasets
including capital and O&M work order data, weather and climate data,
SCADA readings, predictive maintenance and damage information, pipeline
telemetry, billing data, and gas usage.Conduct exploratory data analysis
(EDA) and data profiling to assess data quality and identify patterns in
large, complex datasets.Contribute to end-to-end model development
pipelines within the Microsoft Fabric environment and support
development of our MLOps platform.Develop clear, accurate quantitative
summaries using Python visualization libraries to communicate findings
to business partners.Support data quality checks and validation of model
inputs and outputs to ensure analytical integrity.Collaborate with Data
Engineers to translate analytical requirements into structured data
pipeline needs.Document models, analytical logic, data sources, and
assumptions to support maintainability and cross-team understanding.Stay
current on developments in data science methods, natural gas industry
analytics, and the Microsoft Fabric and Azure ML tooling ecosystem.
EDUCATION AND WORK EXPERIENCE
Bachelors degree in data science, Statistics, Math
Equal employment opportunity, including veterans and individuals with
disabilities.
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