Data Scientist

Booz Allen Hamilton

Confirmed live today Low trust

Quick summary

Work type: On-site
Location: Monterey, CAMcLean, VA
Employment: Full-time
Posted: 103 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 Python, Machine Learning, Artificial Intelligence, and Natural Language Processing to provide deep insights. The role also involves simulation techniques like Monte Carlo and agent-based modeling. Preferred technical skills include R, SAS, SQL, NoSQL, Hadoop, Hive, EMR, Kafka, Spark, and MySQL. You will apply these tools to diverse domains ranging from fraud detection to cancer research and national intelligence.

What does a Data Scientist earn in California?

Median $214500 from 114 postings across 26 companies.

See salary data

Skills

Python Machine Learning Artificial Intelligence Natural Language Processing SQL NoSQL Hadoop Hive EMR Kafka Spark MySQL R SAS Monte Carlo simulation Discreet event simulation Agent-based modeling Grafana Data Visualization Data Mining

What you'll do

Analyze structured and unstructured data sources to solve complex client problems.
Develop algorithms and systems to turn disparate data points into objective answers.
Build predictive data models and perform quantitative analyses.
Create data visualizations to communicate insights and findings to clients.
Apply machine learning, artificial intelligence, and natural language processing techniques.
Utilize Python and other programming languages to perform data exploration and cleaning.
Implement simulation techniques such as Monte Carlo or agent-based modeling.
Translate complex data sets into actionable information for informed decision-making.

What we're looking for

2+ years of experience with data exploration, data cleaning, data analysis, data visualization, or data mining.
2+ years of experience with utilization of Python programming language for data analysis.
Experience analyzing structured and unstructured data sources.
Experience developing predictive data models, quantitative analyses, and visualization of targeted data sources.
Experience with Machine Learning, Artificial Intelligence, or Natural Language Processing.
Knowledge of various simulation techniques such as discreet event simulation, Monte Carlo simulation, and agent-based modeling.
2+ years of experience in the development of algorithms leveraging R, SAS, SQL, or NoSQL (preferred).
Secret clearance.

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