Data Scientist, Senior

Booz Allen Hamilton•San Diego, CA

4d•$99,000 - $225,000

About The Position

As a Senior Data Scientist at Booz Allen, you will analyze complex, structured and unstructured data to help clients address challenges across private and public sectors. You will work closely with clients to understand their questions and needs, explore data-rich environments, and develop algorithms and systems that turn disparate data into objective answers for informed decisions. You will use appropriate tools and frameworks to interpret data and explain what it means and how it can be used. The role focuses on applying data science to real-world problems, including areas such as fraud detection, cancer research, and national intelligence.

Requirements

7+ years of experience with data, financial, or business operations.
Experience with data analysis or data operations.
Knowledge of statistical and general-purpose programming languages for data analysis, including Python, SQL, or R.
Knowledge of predictive data models, quantitative analyses, or visualization of targeted data sources.
Knowledge of text mining or machine learning techniques.
Ability to conduct data exploration, data cleaning, data analysis, data visualization, or data mining, or develop data dashboards, data management tools, or data modeling tools.
Ability to obtain a Secret clearance.
Bachelor’s degree.

Nice To Haves

2+ years of experience developing algorithms using R, Python, or SQL and NoSQL.
2+ years of experience with distributed data or computing tools, including MapReduce, Hadoop, Hive, EMR, Kafka, Spark, Gurobi, or MySQL.
2+ years of experience with machine learning, AI, or NLP.
Experience with Palantir Foundry.
Experience with visualization packages, including Plotly, Seaborn, or ggplot2.
Experience with Business Intelligence (BI) or data visualization tools such as Power BI, Tableau, or Qlik.
TS/SCI clearance.
Bachelor’s degree in an analytical or engineering field, such as computer science, data science, computer engineering, or systems engineering.
Master’s degree in an analytical or engineering field, such as computer science, data science, business analytics, computer engineering, or systems engineering.

Responsibilities

Work with clients to understand their questions and needs.
Explore data-rich environments to find relevant information.
Develop algorithms and systems to convert disparate data into useful, objective answers.
Use appropriate tools and frameworks to help clients make informed decisions.
Analyze and interpret data, including conducting data exploration, cleaning, analysis, visualization, and mining.
Develop data dashboards, data management tools, or data modeling tools.