Data Scientist, Mid

Booz-Allen-Hamilton; Alexandria (VA); On-site; USD 78,000 - 176,000; Full time

Benefits offered by this job

Health benefits

Life insurance

Disability benefits

Tuition assistance

Retirement plan

Paid leave

Professional development

Work-life programs

Dependents care

Job summary

Booz Allen is seeking a data scientist to lead analytical efforts across data-rich environments, partnering with customers to understand questions and translate them into data-driven answers. You will apply ML/AI techniques, develop visualizations, and communicate findings to stakeholders in both technical and non-technical terms.

The role emphasizes collaboration with clients in the IC, leveraging Python, SQL, and big data tools to uncover patterns and support critical decisions.

Qualifications

• 2+ years of experience in data science or engineering with quantitative analysis, visualization, and data-driven insights.
• Experience using Python to manipulate and analyze data.
• Experience using SQL to perform complex queries.
• Ability to communicate technical information to varied audiences.

Responsibilities

• Write scripts to integrate data and conduct exploratory data analysis to find hidden patterns.
• Apply machine learning to train predictive models and derive actionable insights for mission partners.

Skills

Python

SQL

Data analysis

Data visualization

Verbal communication

Analytical skills

Leadership

Education

Bachelor's degree

Master's degree (preferred)

Tools

Apache Spark

JEMA framework

Flask

JavaScript

ETL

JSON/XML

Geospatial formats

Cloud services

Job description

The Opportunity:Are you excited at the prospect of unlocking the secrets held by a data set? Are you fascinated by the possibilities presented by the IoT, machine learning, and artificial intelligence advances? In an increasingly connected world, massive amounts of structured and unstructured data open up new opportunities. As a data scientist, you can 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 know the answers are in the data.We have an opportunity for you to use your leadership and analytical skills to support an intelligence community (IC) agency's collection and analysis operations. You’ll work closely with your customer to understand their questions and needs, then dig into their data-rich environment to find the pieces of their information puzzle. You’ll write scripts to integrate data, conduct exploratory data analysis to discover hidden patterns, apply machine learning to train predictive models, and use the right combination of tools to turn that set of disparate data points into objective answers to help mission partners make informed decisions. You’ll provide your customer with a deep understanding of their data, what it all means, and how they can use it. Join us as we use data science for good in support of the IC’s global mission.Join us. The world can’t wait.You Have:2+ years of experience in data science or engineering, including performing quantitative analysis, developing visualizations, and processing complex data to create data-driven insightsExperience using Python to manipulate and analyze dataExperience using SQL to conduct complex database queriesExperience with communicating information to an audience with varying technical knowledge and expertise in verbal or written formatsTop Secret clearanceBachelor's degreeNice If You Have:Experience using Apache Spark to aggregate and analyze large data sets from various sourcesExperience using the Joint Enterprise Modeling and Analytics (JEMA) framework to develop data processing workflowsExperience developing Web services or Web applications using Python and Flask or JavaScriptExperience working with AI and ML technologies and data systemsExperience using data manipulation and extract, transform, and load (ETL) proceduresExperience working with multiple file types, including geospatial file formats, JSON, and XMLExperience with developing data visualizations, dashboards, or lightweight Web applications to communicate key insightsKnowledge of commercial Cloud services used by the ICTS/SCI clearanceMaster's degree in Mathematics, Statistics, Computer Science, Data Analytics, or a related technical fieldClearance:Applicants selected will be subject to a security investigation and may need to meet eligibility requirements for access to classified information; Top Secret clearance is required.CompensationAt 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 StatementAs 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 PolicyAI 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 ModelOur people-first culture prioritizes the benefits of collaboration. 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 or customer facility, in alignment with your leadership's expectations and the needs of the role.Onsite : If this position is listed as onsite, work will primarily be performed full-time at a customer facility, where employees will collaborate directly with colleagues and customers as required by the role.Commitment to Non-DiscriminationAll 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.