Job Number: R0207595 



University - Data Scientist Intern 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 analytical skills to help 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 work with and learn from your teammates as you develop algorithms and systems. You'll use the right combination of tools and frameworks to turn sets of disparate data points into objective answers so that your clients can 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: <ul> <li>Experience with data exploration, data cleaning, data analysis, data visualization, or data mining </li> <li>Experience with statistical and general-purpose programming languages for data analysis </li> <li>Knowledge of structured and unstructured data sources </li> <li>Ability to obtain a Secret clearance </li> <li>Scheduled to obtain a Bachelor's degree in Fall 2025/Spring 2026 </li> </ul>Nice If You Have: <ul> <li>Experience with the development of algorithms leveraging R, Python, or SQL and NoSQL </li> </ul>Clearance: Applicants selected will be subject to a security investigation and may need to meet eligibility requirements for access to classified information. 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 $60,300.00 to $137,000.00 (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. <ul> <li>If this position is listed as remote or hybrid, you'll periodically work from a Booz Allen or client site facility. </li><li>If this position is listed as onsite, you'll work with colleagues and clients in person, as needed for the specific role. </li></ul> EEO Commitment We're an equal employment opportunity/affirmative action employer that empowers our people to fearlessly drive change - no matter their race, color, ethnicity, religion, sex (including pregnancy, childbirth, lactation, or related medical conditions), national origin, ancestry, age, marital status, sexual orientation, gender identity and expression, disability, veteran status, military or uniformed service member status, genetic information, or any other status protected by applicable federal, state, local, or international law.

Major Duties<ul><li>Serves as a Senior Data Scientist leading teams for the most complex projects. May also serve as a team participant or an independent analyst on professional data science teams.</li><li>Applies the rigors of the data science discipline to data analysis in Cyber, Information Technology and economic analyses of complex and potentially controversial major information technology systems and networks.</li><li>Responsible for advanced level data science analytics characterized as highly unstructured and complex, having little definition or clarity, and especially complex analytic projects assigned to the organization.</li><li>Provides business metrics and support for the most complex projects to identify improvements (contribution to the improvement should be monitored initially and over multiple iterations).</li><li>Coordinates with the data steward to ensure that the information used follows the regulatory and security policies in place.</li><li>Qualify where information can be stored or what information, external to the organization, may be used in support of the use case.</li><li>Lead analytical projects, providing direction and guidance to project members of a professional nature in the execution and implementation of projects.</li></ul>Qualifications/ Specialized ExperienceWho May Apply: Only applicants who meet one of the employment authority categories below are eligible to apply for this job. You will be asked to identify which category or categories you meet, and to provide documents which prove you meet the category or categories you selected. See Proof of Eligibility for an extensive list of document requirements for all employment authorities. Current Army Cyber Excepted Service (CES) Employee Current Army Defense Civilian Intelligence Personnel System (DCIPS) Employee Current Civilian Employees of the Organization Applying to Cyber Excepted Service (CES) Positions Current Department of Army Civilian Employees Current DoD Cyber Excepted Service (CES) Employee (non-Army) Current DoD Defense Civilian Intelligence Personnel System (DCIPS) Employee (non-Army) Current Permanent DoD Civilian Employee (non-Army) Applying to Cyber Excepted Service Positions Non-Department of Defense (DoD) Transfer Applying to Cyber Excepted Service Positions Army CES positions apply Veteran's Preference to preference eligible candidates, as defined by Section 2108 of Title 5 U.S.C., in accordance with the procedures provided in DoD Instruction 1400.25, Volume 3005, "CES Employment and Placement". If you are a veteran claiming veterans' preference, as defined by Section 2108 of Title 5 U.S.C., you must submit documents verifying your eligibility with your application package. In order to qualify, you must meet the education and experience requirements described below. Experience refers to paid and unpaid experience, including volunteer work done through National Service programs (e.g., Peace Corps, AmeriCorps) and other organizations (e.g., professional; philanthropic; religious; spiritual; community; student; social). You will receive credit for all qualifying experience, including volunteer experience. Your resume must clearly describe your relevant experience; if qualifying based on education, your transcripts will be required as part of your application. Additional information about transcripts is in this document. Basic Requirement for Data Scientist: A. Degree: Bachelor's degree (or higher degree) in in mathematics, statistics, computer science, data science or field directly related to the position. OR B. Combination of Education and Experience: Courses equivalent to a major field of study (30 semester hours) as shown in A above, plus appropriate experience or additional education. In addition to meeting the basic requirement above, to qualify for this position you must also meet the qualification requirements listed below: GG-11 Qualifying Experience: To qualify based on your experience, your resume must describe one year of specialized experience that demonstrates the possession of knowledge, skills, abilities, and competencies necessary for immediate success in the position. Such experience is typically in or directly related to the work of the position to be filled. Specialized experience would be demonstrated by (1) assisting with analyzing data in cyber, information technology, or other areas to ensure plans meet programming requirements; (2) analyzing economic information to ensure plans meet budgetary requirements; (3) working on a team providing business metrics and support for complex projects to identify needed improvements; (4) using information systems hardware and software applications, and systems integration as applied to big data analytics and operational research. GG-12 Qualifying Experience: To qualify based on your experience, your resume must describe one year of specialized experience that demonstrates the possession of knowledge, skills, abilities, and competencies necessary for immediate success in the position. Such experience is typically in or directly related to the work of the position to be filled. Specialized experience would be demonstrated by (1) analyzing data in cyber, information technology and/or economic information to ensure plans meet programming or budgetary requirements; (2) providing business metrics and support for complex projects to identify needed improvements; (3) using information systems hardware and software applications, and systems integration as applied to big data analytics and operational research. GG-13 Qualifying Experience: To qualify based on your experience, your resume must describe two years of specialized experience that demonstrates the possession of knowledge, skills, abilities, and competencies necessary for immediate success in the position. Such experience is typically in or directly related to the work of the position to be filled. Specialized experience would be demonstrated by (1) leading teams in analyzing data in cyber, information technology to ensure plans meet programming; (2) analyzing economic information to ensure plans meet budgetary requirements; (3) providing business metrics and support for complex projects to identify needed improvements; (4) using information systems hardware and software applications, and systems integration as applied to big data analytics and operational research; (5) ensuring information used is in compliance with regulations and security policies.

ONSITE AND CONTINGENT UPON AWARD Who We Are: Founded in 2007, SimIS Inc. is an innovative information technology solution Veteran Owned Small Business (VOSB) that models future environments, requirements, and capabilities, and then secures the enterprise from internal and external threats compliant with Federal, State, and industry standard governance to ensure client mission success. Our performance standard is "excellence," with an outcomes-based, quality focus in our services and products, guided by our core values of honesty (in word and deed), relationships (confidence and trust with clients and partners), teamwork (shared goals, mission, and purpose), loyalty (allegiance to our client and team), and importance of others (work and win as a team). SimIS is currently recruiting for the below listed position and is contingent upon award. Job Description: SimIS seeks a Junior Data Scientist to support the Learning Technology Branch implement the Political-Military Assisted Decision Making concept designed to develop tools to refine data management functions, enhance situational awareness and understanding, and develop predictive analytical functions which enable users to create and test many potential courses of action. These options will then inform the political-military decision-making process in response to both acute and emergent crises in real-time. The successful candidate will provide a resume that demonstrates subject matter expertise in performing the following tasks/requirements: Specific Requirements:<ul><li>Knowledge of Data models. Evaluates the outcomes, veracity, and performance of data models.</li><li>Engages with the target user to prototype and refine human computer interfaces to optimize visualization of the relationships between different data entities.</li><li>Specifies and applies appropriate techniques to clean and properly format data for use.</li><li>Reviews the benefits and value of techniques and tools and recommends improvements for cleansing and reformatting data.</li><li>Development of concepts of operation, working with subject matter experts.</li><li>Construct data strategies in line with the owning organizations approach to collecting, storing, and analyzing data.</li><li>Remain up-to-date with new developments in data science and AI to bring innovative ideas into implementation.</li><li>Travel to meetings and conferences as required.</li></ul>Qualifications and Experience Required:<ul><li>Bachelor's degree in Data/Computer Science or related discipline.</li><li>Minimum of 2 years work experience in Data Science, Data Analytics or similar role.</li><li>At least 2 years of experience using requirements management tools such as Jira, IBM DOORS, Xebrio, etc. (resume must identify specific tools used).</li><li>Knowledge and familiarity with Capability Development and Management processes such as Requirements Planning, Project Management, Contract Management, Procurement, Strategic Planning. </li></ul>Benefits:<ul><li>Medical, Dental, and Vision </li><li>Short Term Disability (at no cost to you) and Long Term Disability</li><li>Life Insurance </li><li>401(k) Savings Plan </li><li>Tuition Assistance Program </li><li>Paid Time Off (PTO) </li><li>11 Federal Holidays each year </li></ul> SimIS, Inc. is an AA / EOE / M / F / Disability / VET / Drug Free Employer

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Data Scientist Jobs in Norfolk, VA

Data Scientist SeniorNovember 17, 2024

Junior Data Scientist NNovember 10, 2024

Data Scientist SeniorNovember 4, 2024

Senior Data Scientist With Security ClearanceNovember 4, 2024

University Data Scientist InternNovember 3, 2024

University Data Scientist InternOctober 31, 2024

Data ScientistOctober 30, 2024

Junior Data Scientist NOctober 28, 2024

Entry Level Data Scientist Ai Engineer Java Software ProgrammerOctober 23, 2024