Data Scientist and Developer

Reposted Yesterday
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Lexington Park, MD
In-Office
99K-225K Annually
Expert/Leader
Information Technology
We use the most advanced technologies to build what nobody else can. Making America stronger, safer, faster. Learn more!
The Role
The Data Scientist and Developer will analyze complex data sets, develop predictive models, and lead algorithm development, focusing on several domains including fraud detection and cancer research.
Summary Generated by Built In
Data Scientist and Developer

The 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, we need you to help find the answers in the data. 

On our team, you’ll use your leadership skills and data science expertise to create real-world impact. You’ll work closely with 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 guide teammates and lead the development of algorithms and systems. You’ll use the right combination of tools and frameworks to turn sets of disparate data points into objective answers to advise your clients as they 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:   

  • 10+ years of experience with data exploration, data cleaning, data analysis, data visualization, or data mining 
  • 10+ years of experience with statistical and general-purpose programming languages for data analysis 
  • 8+ years of 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 with natural language processing, text mining, or machine learning techniques 
  • Experience in the development of algorithms leveraging R, Python, or SQL/NoSQL 
  • Secret clearance 
  • Bachelor’s degree 

Nice If You Have:   

  • Experience with distributed data or computing tools, including MapReduce, Hadoop, Hive, EMR, Kafka, Spark, Gurobi, or MySQL  
  • Experience with visualization packages, including Plotly, Seaborn, or ggplot2 
  • Experience with Databricks, GitHub, and Jira

Clearance:

Applicants selected will be subject to a security investigation and may need to meet eligibility requirements for access to classified information; Secret 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 $99,000.00 to $225,000.00 (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 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
Our people-first culture prioritizes the benefits of flexibility and collaboration, whether that happens in person or remotely.

  • 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.

TECHEX1

Top Skills

Databricks
Emr
Ggplot2
Git
Gurobi
Hadoop
Hive
JIRA
Kafka
Mapreduce
MySQL
NoSQL
Plotly
Python
R
Seaborn
Spark
SQL
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The Company
McLean, VA
0 Employees
Year Founded: 1914

What We Do

Booz Allen is an advanced technology company delivering outcomes with speed for America’s most critical defense, civil, and national security priorities. We build technology solutions using AI, cyber, and other cutting-edge technologies to advance and protect the nation and its citizens. By focusing on outcomes, we enable our people, clients, and their missions to succeed—accelerating the nation to realize our purpose: Empower People to Change the World®.

Why Work With Us

At Booz Allen, our culture of heart and performance will fuel your growth and empower you to succeed, both inside and outside of the workplace. Discover your future career and join us. The world can't wait.

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