Data Scientist, Mid at Booz Allen Hamilton | CA, US | Rezi

Data Scientist, Mid at Booz Allen Hamilton

Data Scientist, Mid

Booz Allen Hamilton · CA, US

1 months ago

Data Scientist, Mid

Booz Allen Hamilton · CA, US

a month ago
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About the Role

As a data scientist, you’re excited at the prospect of unlocking the secrets held by a data set, and you’re fascinated by the possibilities presented by IoT, machine learning, and artificial intelligence (AI). In an increasingly connected world, massive amounts of structured and unstructured data open new opportunities. As a data scientist at Booz Allen, you can help turn these complex data sets into useful information to solve global challenges. Across private and public sectors, from fraud detection to cancer research, to national intelligence, we need you to help find the answers in the data. On our team, you’ll use your analytical skills and data science knowledge to create real-world impact. You’ll work closely with your clients to understand their questions and needs and then dig into their data-rich environments to find the pieces of their information puzzle. You’ll develop algorithms and systems and use the right combination of tools and frameworks to turn sets of disparate data points into objective answers to help clients make informed decisions. Ultimately, you’ll provide a deep understanding of the data, what it all means, and how it can be used. Work with us as we use data science for good. Join us. The world can’t wait.

Responsibilities

  • Develop algorithms and systems using the right combination of tools and frameworks to turn sets of disparate data points into objective answers.
  • Provide a deep understanding of the data, what it all means, and how it can be used.

Requirements

  • 2+ years of experience with data exploration, data cleaning, data analysis, data visualization, data mining or developing data dashboards, data management tools or data modeling tools
  • Experience with statistical and general-purpose programming languages for data analysis, including Python, SQL, or R
  • Experience analyzing structured and unstructured data sources
  • Knowledge of predictive data models, quantitative analyses, or visualization of targeted data sources
  • Knowledge of machine learning, AI, or Natural Language Processing (NLP)
  • Knowledge of text mining or machine learning techniques
  • Secret clearance
  • Bachelor’s degree

Skills

  • Python
  • SQL
  • R
  • Machine learning
  • AI
  • Natural Language Processing (NLP)
  • Text mining
  • Data exploration
  • Data cleaning
  • Data analysis
  • Data visualization
  • Data mining
  • Data dashboards
  • Data management tools
  • Data modeling tools
  • Predictive data models
  • Quantitative analyses
  • Visualization of targeted data sources
  • Algorithms
  • Data science

Location

  • Remote
  • Hybrid
  • Onsite

Work Type

  • Full-time
  • Part-time

Experience Level

  • Mid-level

Education Level

  • Bachelor’s degree
  • Master's degree

Salary/Compensations

  • $77,600.00 to $176,000.00

Benefits

  • Health benefits
  • Life insurance
  • Disability insurance
  • Financial benefits
  • Retirement benefits
  • Paid leave
  • Professional development
  • Tuition assistance
  • Work-life programs
  • Dependent care
  • Recognition awards program

About the Company

  • Booz Allen is a company that celebrates employee contributions, provides opportunities and choices, and supports total well-being.
  • AI is a part of our daily work at Booz Allen, and we are committed to the responsible and ethical use of AI tools.
  • Our people-first culture prioritizes the benefits of collaboration, whether it occurs in person or virtually.
  • We encourage you to learn more about our total benefits by visiting the Resource page on our Careers site and reviewing Our Employee Benefits page.

Equal Opportunity

  • All qualified applicants will receive consideration for employment without regard to disability, status as a protected veteran or any other status protected by applicable federal, state, local, or international law.