Data Scientist, Mid
Booz Allen Hamilton
About the Role
As a Data Scientist, you are excited by the prospect of unlocking secrets held by data sets and fascinated by the possibilities presented by IoT, machine learning, and artificial intelligence. 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.
Key Responsibilities
- Use analytical skills and data science knowledge to create real-world impact.
- Work closely with clients to understand their questions and needs.
- Dig into data-rich environments to find pieces of information.
- Develop algorithms and systems.
- Use the right combination of tools and frameworks to turn disparate data points into objective answers to help clients make informed decisions.
- Provide a deep understanding of the data, its meaning, and how it can be used.
Requirements & Tech Stack
- 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 building and applying machine learning techniques.
- Ability to travel up to 25%.
- Ability to obtain a Secret clearance.
- Bachelor’s degree.
Nice If You Have
- Experience in the development of algorithms leveraging R, Python, or SQL and NoSQL.
- Experience with distributed data and computing tools, including MapReduce, Hadoop, Hive, EMR, Kafka, Spark, Gurobi, or MySQL.
- Experience with visualization packages, including Plotly, Seaborn, or ggplot2.
- Experience working with Air Force clients.
- Experience effectively managing teams and trusted client relationships.
- Experience developing visually compelling PowerPoint decks and other products to support client delivery.
- Experience working with Advana or Vault.
- TS/SCI clearance.
Compensation
- Projected compensation range: $77,600.00 to $176,000.00 (annualized USD).
Work Model
- Remote, Hybrid, or Onsite work models may apply. Employees working virtually are generally expected to have their cameras on during meetings.
Identity Verification
- Identity verification process using biometrics and AI is required.
- Expect to be on camera during interviews and assessments.
- Use of AI or other tools to assist with responses during interviews is prohibited unless explicitly permitted.