data scientist
Role details
Job location
Tech stack
Job description
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, we need you to help find the answers in the data.
Requirements
- 7+ years of 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% of the time
- 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 managing teams and trusted client relationships effectively
- Experience developing visually compelling PowerPoint decks and other products to support client delivery
- Experience working with Advana or Vault
- TS/SCI clearance, Air Force, Algorithms, Analysis Skills, Apache Hadoop, Apache Hive, Apache Kafka, Apache Spark, Artificial Intelligence (AI), Biometrics, Cancer, Communication Skills, Compensation and Benefits, Customer Relations, Customer Support/Service, Data Analysis, Data Modeling, Data Science, Data Sets, Data Visualization, Distributed Computing, Electronic Medical Records, Leadership, Machine Learning, MapReduce, Microsoft PowerPoint, MySQL, Needs Assessment, NoSQL, Predictive Modeling, Product Support, Programming Languages, Python Programming/Scripting Language, Quantitative Analysis, R Programming Language, SQL (Structured Query Language), Secret Clearance, Sensitive Compartmented Information (SCI), Structured Data, Team Lead/Manager, Top Secret Clearance, Unstructured Data, Willing to Travel, Work From Home
Benefits & conditions
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. 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.
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 $77,600.00 to $176,000.00 (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., Stock Options, Employee Referral Program, Flexible Spending Accounts, Employee Events, Retirement / Pension Plans, Tuition Reimbursement, Life Insurance, Merchandise Discounts, Military Leave, On Site Cafeteria, Parking, Prescription Drug Coverage, Professional Development, 401K, Childcare