Data Scientist, Mid

Booz Allen Hamilton•San Diego, CA

About The Position

As a Data Scientist at Booz Allen, you will analyze complex structured and unstructured data to help clients answer questions and make informed decisions. You will work with clients to understand their needs, explore data-rich environments, develop algorithms and systems, and select appropriate tools and frameworks to turn disparate data into useful information. The work may involve data science applications across private and public sectors, including areas such as fraud detection, cancer research, and national intelligence. The role requires a bachelor’s degree, experience with data analysis or data operations, knowledge of statistical and general-purpose programming languages, and a Secret clearance. Applicants may be subject to a security investigation and must meet eligibility requirements for access to classified information. Booz Allen offers a projected annual compensation range of $77,600 to $176,000, with salary determined by factors including location, education, skills, experience, contract affordability, and organizational requirements.

Requirements

  • 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 to develop data dashboards, data management tools, or data modeling tools.
  • Secret clearance.
  • Bachelor’s degree.

Nice To Haves

  • At least 2 years of experience developing algorithms using R, Python, or SQL and NoSQL.
  • At least 2 years of experience with distributed data or computing tools, including MapReduce, Hadoop, Hive, EMR, Kafka, Spark, Gurobi, or MySQL.
  • At least 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 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, clean, analyze, visualize, and mine data from data-rich environments.
  • Develop algorithms and systems to turn disparate data points into objective answers.
  • Select and use appropriate tools and frameworks to support analysis and help clients make informed decisions.
  • Communicate a deep understanding of the data, its meaning, and potential uses.

Benefits

  • Health, life, and disability benefits.
  • Financial and retirement benefits.
  • Paid leave.
  • Professional development.
  • Tuition assistance.
  • Work-life programs.
  • Dependent care.
  • Recognition awards for exceptional performance and demonstration of company values.
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