Aviation Data Scientist

Job Number: R

Title:

Aviation Data Scientist

Opportunity

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. 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—you need 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.

You Have

• 2+ years of experience using Databricks

• 2+ years of experience with data exploration, data cleaning, data analysis, data visualization, or data mining

• 2+ years of 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

• Knowledge of text mining, Machine Learning, Artificial Intelligence, or Natural Language Processing

• Ability to obtain and maintain a Public Trust or Suitability/Fitness determination based on client requirements

• Bachelor's degree

Nice If You Have

• 2+ years of experience in the development of algorithms leveraging R, Python, or SQL/No

SQL

• 2+ years of experience with distributed data and computing tools, including Map Reduce, Hadoop, Hive, EMR, Kafka, Spark, Gurobi, or MySQL

• 2+ years of experience with Machine Learning, AI, or NLP

• Experience with aviation, geospatial, and weather datasets

• Experience with visualization packages, including Plotly, Seaborn, or ggplot2

• Master's degree

Vetting

Applicants selected will be subject to a government investigation and may need to meet eligibility requirements of the U.S. government client.

Compensation and Benefits

At Booz Allen, we celebrate your contributions, provide you with opportunities and choices, and support your total well-being. Our offerings include health, life, disability, financial, and retirement benefits, as well as paid leave, professional development, tuition assistance, work‑life programs, and dependent care. Our recognition awards program acknowledges employees for exceptional performance and superior demonstration of our values. Full‑time and part‑time employees working at least 20 hours a week on a regular basis are eligible to participate in Booz Allen's benefit programs.

Individuals that do not meet the threshold are only eligible for select offerings, not inclusive of health benefits. Salary is determined by various factors, including location, the individual's 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 $77,600.00 to $ (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.

Identity Statement

As part of the application process, 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.

Work Model

• If this position is listed as remote or hybrid, you'll periodically work from a Booz Allen or client site facility.

• If this position is listed as onsite, you'll work with colleagues and clients in person, as needed for the specific role.

Commitment to Non-Discrimination

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.

Seniority level

• Entry level

Employment type

• Part-time

Job function

• Engineering and Information Technology

Industries

• Software Development

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