Data Scientist - Senior
Nalley Consulting
Salt Lake City, UT, US
Onsite
2026-06-26
Estimated salary · Salt Lake City
~ $99,400 - $169,800
Low
$75K
Median
$99K
High
$131K
Market in Salt Lake City · BLS OEWS 2025
Estimated net pay
$6,195 - $9,981
/month · 25% withheld
after tax & contributions · on the estimated salary · Single, no dependents
Job description
**Position:** Data Scientist
**LCAT:** Senior
**Location:** Utah ANG, Salt Lake City, Utah / On\-site
**Office:** U.S. Air Force Air Combat Command
**Required clearance:** TS/SCI, ability to pass a polygraph
**Required education:**Master’s degree or bachelor’s degree with at least five (5\) years of related senior\-level experience in data science. Ten (10\) years or relevant data science experience in lieu of degree; at least part of the required experience must be within the past two (2\) years.
**Description:**
This position is contingent upon award of contract. We are seeking a highly skilled and experienced Data Scientist to join our team supporting the Air Force’s Air Combat Command (ACC) Intelligence, Surveillance, and Reconnaissance (ISR) Enterprise program.
As our data scientist, you’ll lead advanced analytic efforts and drive data\-informed decision\-making across the organization. This role involves conducting end\-to\-end data science activities—including data engineering, exploratory analysis, predictive modeling, and statistical analysis—while transforming complex datasets into actionable insights through compelling visual and narrative storytelling.
The ideal candidate will proactively identify and retrieve relevant data from diverse sources, build scalable machine learning (ML) solutions, and develop AI\-driven tools to automate analytical processes and improve operational efficiency.
**Responsibilities*** Perform advanced data analytics, data mining, and statistical analysis to uncover actionable insights.
* Design and develop machine learning models, including recommendation engines and automated scoring systems.
* Build, validate, and deploy high\-quality predictive models and analytical solutions.
* Conduct exploratory data analysis to identify trends, anomalies, and opportunities.
* Integrate and manage large, disparate datasets from multiple structured and unstructured sources.
* Develop