AI and ML Engineer and Data Scientist

Booz Allen Hamilton

Confirmed live today High trust

Quick summary

Work type: On-site
Location: Fayetteville, NC
Salary: $99,000–$225,000 / yr
Employment: Full-time
Posted: 2 days ago
Freshness: Confirmed live today
Nearby: 49 roles within 25 mi

Market check

Salary context

Below market

How this pay compares to similar roles

Similar $201k

This role $162k

$79k most similar roles pay here $283k

This role pays less than 72% of similar roles. Most pay $162,000–$240,109 — the shaded band above. At the midpoint, this role pays about $162k versus about $201k for comparable roles.

Based on 240 similar postings.

Employer

About Booz Allen Hamilton

Booz Allen Hamilton is a management and technology consulting firm that provides analytics, digital, engineering, and cybersecurity solutions primarily to U.S. government agencies and commercial clients. Industry: Management & Technology Consulting

Booz Allen Hamilton currently has 1244 open roles on FindRole.

Listed pay typically runs $86,800–$198,000 across 821 roles with salary data.

Most-posted roles

View all roles at Booz Allen Hamilton

At a glance

TL;DR · AI and ML Engineer and Data Scientist

Role Posting Log in to save

As an AI and ML Engineer and Data Scientist, you will join a team supporting intelligence professionals conducting critical missions for the special operations community. You will work closely with clients to understand their needs, shape modernization efforts, and guide the development of algorithms and systems that turn disparate data points into objective answers. Your daily responsibilities include building predictive data models, performing quantitative analyses, and creating 3D computer models of indoor and outdoor locations using open-source geospatial data. You will utilize Python, ETL processes, and machine learning or deep learning frameworks to develop solutions. The role requires expertise in selecting, training, and tuning algorithms. Preferred technical skills include R, SQL, MapReduce, Hadoop, Hive, EMR, Kafka, Spark, Gurobi, MySQL, and visualization packages like Plotly, Seaborn, or ggplot2. A TS/SCI clearance is required for this position.

Skills

Python Machine Learning Deep Learning ETL SQL R Hadoop Spark Kafka Hive EMR MySQL Gurobi Plotly Seaborn ggplot2 Geospatial Data

What you'll do

Transform complex datasets into actionable information to solve challenges for the special operations community.
Collaborate with clients to identify needs and shape the modernization of support systems.
Guide the team in the development of machine learning algorithms and technical systems.
Integrate disparate data points using various tools and frameworks to provide objective answers for decision-makers.
Build and tune geographic computer models using open-source geospatial data.
Create 3D computer models of both indoor and outdoor locations.
Select, train, evaluate, and tune machine learning or deep learning algorithms.
Develop predictive data models, quantitative analyses, and visualizations of targeted data sources.

What we're looking for

5+ years of experience in data science or machine learning engineer roles.
Experience with Python or ETL.
Experience using open-source geospatial data to build and tune geographic computer models.
Experience creating 3D computer models of indoor and outdoor locations.
Experience selecting, training, evaluating, and tuning machine learning or deep learning algorithms.
Experience developing predictive data models, quantitative analyses, and visualization of targeted data sources.
HS diploma or GED.
TS/SCI clearance.

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