Data Scientist

Booz Allen Hamilton

Confirmed live today Low trust

Quick summary

Work type: On-site
Location: Chantilly, VA
Employment: Full-time
Posted: 108 days ago
Freshness: Confirmed live today
Nearby: 99+ roles within 25 mi

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Salary context

How this pay compares to similar roles

Similar $166k

$97k $233k

below market most similar roles pay here above market

This listing doesn't post a salary. Most similar roles pay $126,800–$204,800.

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 1662 open roles on FindRole.

Listed pay typically runs $86,800–$198,000 across 904 roles with salary data.

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At a glance

TL;DR · Data Scientist

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JOB TITLE: Data Scientist As a Data Scientist, you will join a team dedicated to transforming complex structured and unstructured data into objective answers to solve global challenges. You will work closely with clients to understand their specific needs, digging into data-rich environments to develop algorithms and systems. Your daily responsibilities include data exploration, cleaning, analysis, and mining to create predictive data models and quantitative analyses. You will utilize statistical and general-purpose programming languages, including R, Python, SQL, and NoSQL. The role requires knowledge of Machine Learning, Artificial Intelligence, Natural Language Processing, and text mining. You will also use tools like Databricks, Hadoop, Spark, and visualization packages such as Plotly or Seaborn. This position addresses technical problems in areas ranging from fraud detection to cancer research.

What does a Data Scientist earn in Virginia?

Median $162000 from 89 postings across 9 companies.

See salary data

Skills

Machine Learning Artificial Intelligence Natural Language Processing Python R SQL NoSQL Databricks Apache Spark Hadoop Kafka Hive EMR MapReduce Gurobi Plotly Seaborn ggplot2 MySQL Data Pipelines Data Mining

What you'll do

Analyze complex structured and unstructured data sets to solve global challenges.
Develop algorithms and systems to turn disparate data points into objective answers.
Build predictive data models and perform quantitative analyses on targeted data sources.
Create data visualizations to help clients make informed decisions.
Implement machine learning, artificial intelligence, or natural language processing techniques.
Perform data exploration, cleaning, and mining to identify key information.
Translate complex data findings into actionable insights for clients.

What we're looking for

2+ years of experience with data exploration, data pipelines, data cleaning, data analysis, data visualization, or data mining.
2+ years of experience with statistical and general-purpose programming languages for data analysis.
Experience developing predictive data models, quantitative analyses, and visualization of targeted data sources.
Knowledge of Machine Learning, Artificial Intelligence, or Natural Language Processing (NLP).
Knowledge of text mining or machine learning techniques.
TS/SCI clearance with a polygraph.
2+ years of experience in algorithm development using R, Python, SQL, or NoSQL (preferred); 2+ years with distributed data tools like Databricks or Spark (preferred); Master’s degree (preferred).

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