Data Scientist

Booz Allen Hamilton

Confirmed live yesterday Trusted

Quick summary

Work type: On-site
Location: Fayetteville, NC
Salary: $99,000–$225,000 / yr
Posted: 7 days ago
Freshness: Confirmed live yesterday
Nearby: 53 roles within 25 mi

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Salary context

Competitive pay

How this pay compares to similar roles

Similar $159k

This role $162k

$84k most similar roles pay here $240k

This role pays more than 57% of similar roles. Most pay $126,800–$191,875 — the shaded band above. At the midpoint, this role pays about $162k versus about $159k 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 793 open roles on FindRole.

Listed pay typically runs $86,800–$198,000 across 768 roles with salary data.

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At a glance

TL;DR · Data Scientist

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As a Data Scientist, you will join the team to conduct advanced analytic initiatives on mission-focused projects. You will be responsible for transforming complex, diverse data into actionable insights by utilizing statistical methods, machine learning techniques, data mining, and predictive analytics to solve intricate operational challenges. Your daily work involves collaborating with clients to identify their needs, leading the development of algorithms and systems, and interpreting data to provide objective answers. The role requires proficiency in general-purpose programming languages, ETL tools like dbt and Airflow, and experience with natural language processing or text mining. Preferred technical skills include Palantir Foundry, Spark, Databricks, Hadoop, Hive, AWS EMR, Kafka, and visualization tools such as Tableau or ArcGIS. Candidates must possess a TS/SCI clearance and a degree in Computer Science, Data Science, or Mathematics.

What does a Data Scientist earn?

Median $162000 from 278 postings across 56 companies.

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Skills

Machine Learning Natural Language Processing Data Mining Predictive Analytics ETL dbt Airflow Palantir Foundry Spark Databricks Hadoop Hive AWS EMR Kafka Tableau Qlik Power BI ArcGIS

What you'll do

Apply statistical methods and machine learning techniques to extract value from diverse data sources.
Develop predictive models and perform quantitative analyses to solve complex operational challenges.
Clean, mine, and analyze both structured and unstructured data sets.
Build algorithms and systems to transform disparate data points into actionable insights for clients.
Lead the development of technical solutions for complex programs and guide team members.
Create data visualizations to communicate findings and support informed decision-making.
Manage data pipelines using ETL tools like dbt and Airflow.
Translate complex data findings into clear explanations regarding what the information means for mission outcomes.

What we're looking for

3+ years of experience with data exploration, cleaning, analysis, visualization, or mining.
3+ years of experience with statistical and general-purpose programming languages for data analysis.
3+ years of experience analyzing structured and unstructured data sources.
Experience with ETL tools such as dbt and Airflow.
Experience developing predictive data models, quantitative analyses, and visualization of targeted data sources.
Experience leading the development of solutions to complex programs.
Experience with natural language processing, text mining, or machine learning techniques.
Bachelor's degree in Computer Science, Data Science, or Mathematics and a TS/SCI clearance.
Experience with Palantir Foundry, Pipeline Builder, AIP, or the Foundry application development ecosystem (preferred).
Experience with distributed data and computing tools like Spark, Databricks, Hadoop, Hive, AWS EMR, or Kafka (preferred).
Experience with visualization or geospatial tools such as Tableau, Qlik, Power BI, or ArcGIS (preferred).
Experience with DevOps tools, automation practices, or working within a Combatant Command or DoD organization (preferred).

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