Data Scientist

Booz Allen Hamilton, Inc.

$99K — $225K *
Aerospace & Defense
Less than 5 years of experience
Job Overview by Ladders

Qualifications

  • 5-7 years of experience in data analysis, visualization, and mining
  • Proficient in programming languages such as Python or R for statistical analysis
  • Experienced in handling both structured and unstructured datasets
  • Skilled in developing predictive models and quantitative analyses
  • Familiar with machine learning techniques and natural language processing
  • Possess a TS/SCI security clearance
  • High School diploma or GED minimum

Responsibilities

  • Explore and clean various data sources for analysis
  • Analyze and visualize data to derive actionable insights
  • Develop predictive models to forecast outcomes
  • Lead the creation of solutions for complex data programs
  • Utilize machine learning and NLP techniques in projects
  • Collaborate with multi-disciplinary teams to implement solutions
  • Facilitate presentations and communicate findings effectively

Benefits

  • Comprehensive benefits package including health insurance
  • Flexible work arrangements with options for remote or hybrid work
  • Supportive work culture prioritizing collaboration and engagement
  • Opportunities for professional development and growth
  • Eligibility for security clearance-related benefits
Full Job Description
Data Scientist The Opportunity: Experience with data exploration, data cleaning, data analysis, data visualization, or data mining Experience with statistical and general-purpose programming languages for data analysis Experience analyzing structured and unstructured data sources Experience developing predictive data models, quantitative analyses, and visualization of targeted data sources Experience leading the development of solutions to complex programs Experience with natural language processing, text mining, or machine learning techniques TS/SCI clearance HS diploma or GED Nice If You Have: Experience with Palantir Foundry Experience with Pipeline Builder, AIP, and Foundry's application development ecosystem Experience with distributed data and computing tools including Spark, Databricks, Hadoop, Hive, AWS EMR, or Kafka Experience with data visualization or geospatial tools, such as Tableau, Qlik, Power BI, or ArcGIS Experience with DevOps tools and automation practices Experience working within a Combatant Command or other DoD organization Clearance: Applicants selected will be subject to a security investigation and may need to meet eligibility requirements for access to classified information; TS/SCI clearance is required. Compensation Salary at Booz Allen is determined by various factors, including but not limited to location, the individual's particular combination of education, knowledge, skills, competencies, and experience, as well as contract-specific affordability and organizational requirements. The projected compensation range for this position is $99,000.00 to $225,000.00 (annualized USD). The estimate displayed represents the typical salary range for this position and is just one component of Booz Allen's total compensation package for employees. This posting will close within 90 days from the Posting Date. Identity Statement As part of the hiring process, we will ask you to complete an identity verification process that leverages advanced biometrics and artificial intelligence to ensure authenticity and protect against identity fraud. You are expected to be on camera during interviews and assessments. We reserve the right to take your picture to verify your identity and prevent fraud. Candidate AI Usage Policy AI is a part of our daily work at Booz Allen, and we are committed to the responsible and ethical use of AI tools. However, we want to ensure a fair candidate process based on your own skills and knowledge. As part of this commitment, the use of artificial intelligence (AI) or other tools to assist with responses during interviews (whether in-person or virtual) is prohibited unless permission is explicitly provided. Work Model Our people-first culture prioritizes the benefits of collaboration, whether it occurs in person or virtually. To support engagement and effective communication, employees working virtually are generally expected to have their cameras on during meetings. Remote: If this position is listed as remote, there may still be occasions when you are required to work in person at a Booz Allen or customer facility. Hybrid: If this position is listed as hybrid, you will be expected to work from a Booz Allen facility frequently, in alignment with leadership expectations and the needs of the role. You may also be required to work from or visit a customer facility. Onsite: If this position is listed as onsite, work will primarily be performed at a Booz Allen office or customer facility, where employees will collaborate directly with colleagues and customers as required by the role.

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