Data Scientist, Mid
At a glance
Mid-level Data Science role at Bah. Alexandria · full-time · $77,600–$176,000 base.
dataroles summary, based on the employer's posting.
What you'll do
- Work with your customer to clarify their questions, then investigate the data available to answer them
- Build scripts that combine data and examine it for patterns that can inform the mission
- Train predictive models with machine learning and turn varied data into objective findings
- Explain what the data shows and how mission partners can use it to make informed decisions
What you bring
- At least two years in data science, including quantitative analysis, visualization and processing complex data into insights
- You can use Python for data analysis and SQL for complex database queries
- You can explain findings orally or in writing to audiences with different levels of technical knowledge
- A bachelor's degree and TS/SCI clearance are required
Who this fits
This mid-level role suits someone who can work with customers, analyze complex data and communicate findings to mission partners. TS/SCI clearance is required, and applicants must be eligible for access to classified information.
From the employer
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, including performing quantitative analysis, developing visualizations, and processing complex data to create data-driven insights
Experience using Python to manipulate and analyze data
Experience using SQL to conduct complex database queries
Experience with communicating information to an audience with varying technical knowledge and expertise in oral or written formats
TS/SCI clearance
Bachelor's degree
Nice If You Have:
Experience using Apache Spark to aggregate and analyze large data sets from various sources
Experience using the Joint Enterprise Modeling and Analytics (JEMA) framework to develop data processing workflows
Experience developing Web services or Web applications using Python and Flask or JavaScript
Experience working with AI and ML technologies and data systems
Experience using data manipulation and extract, transform, and load (ETL) procedures
Experience working with multiple file types, including geospatial file formats, JSON, and XML
Experience with developing data visualizations, dashboards, or lightweight Web applications to communicate key insights
Knowledge of commercial Cloud services used by the IC
Master's degree in Mathematics, Statistics, Computer Science, Data Analytics, or a related technical field
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
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.
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.
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.
Data Science work from LinkedIn, X, Reddit and Upwork, in one list.
Each morning you get everything that fits, strongest first.
Data Science$70k+
Find me workBy the team behind dataroles.