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Remote Data Science Student Jobs in Washington (NOW HIRING)

Data Scientist

Washington, DC · On-site +1

$141K - $236K/yr

You will translate raw data into actionable insights, focusing on data science solutions for the ... For Remote Opportunities), education and certifications as well as Federal Government Contract ...

Applied Data Scientist

Arlington, VA · On-site +1

$120K - $170K/yr

Take ownership of data science projects from initial problem definition and hypothesis building to ... Flexible work & remote work policy  * Tax-deferred public transit benefits with Metro ...

Applied Data Scientist

Arlington, VA · On-site +1

$120K - $170K/yr

Take ownership of data science projects from initial problem definition and hypothesis building to ... Flexible work & remote work policy  * Tax-deferred public transit benefits with Metro ...

... remote locations. ** About our Team : LexisNexis Legal & Professional, serving customers in over ... Define and execute the data science vision and roadmap aligned with business objectives and ...

The Senior Analyst will serve on a four-member Agile Data Science delivery team performing ... for remote work to be determined by the program manager and customer. Essential Functions:

Herndon, VA with remote flexibility. Must be local to the DC Metro area. Responsibilities * Curate ... Awareness of emerging data science, AI/ML, and big-data technologies relevant to national security ...

Senior Data science Engineer - Remote

Reston, VA · On-site +1

$110K - $149K/yr

... data science engineers in analyzing and understanding all aspects of data, including source, design, insight, technology and modeling • Develop and manage scalable data processing platforms for ...

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Showing results 1-20

Remote Data Science Student information

Can I get a data scientist job with no experience?

Entry-level data scientist positions often require some knowledge of programming languages like Python or R, and familiarity with data analysis tools. While prior experience is beneficial, candidates can improve their chances by completing relevant coursework, projects, or certifications to demonstrate skills to employers.

What is the difference between Remote Data Science Student vs Remote Data Analyst?

AspectRemote Data Science StudentRemote Data Analyst
Required CredentialsEnrolled in or recently completed data science courses, certificationsDegree in statistics, mathematics, or related field; some certifications
Work EnvironmentLearning-focused, internship or entry-level projects, mentorshipAnalyzing data, creating reports, supporting decision-making
Employer & Industry UsageEducational institutions, internships, entry-level roles in tech, finance, healthcareBusinesses across industries, performing routine data analysis tasks

The main difference is that a Remote Data Science Student is typically in training or early learning stages, focusing on gaining skills through coursework and internships. In contrast, a Remote Data Analyst is usually engaged in applying existing skills to analyze data and generate insights for organizations. Both roles are entry-level but differ in experience, responsibilities, and focus areas.

What are remote data science students?

Remote data science students are individuals who study data science through online programs or courses, rather than attending classes in person. They learn key concepts such as statistics, machine learning, and programming using digital resources and remote instruction. This flexible approach allows students to access high-quality education from anywhere, often at their own pace. Remote data science students may participate in virtual classes, complete assignments online, and collaborate with peers and instructors through digital platforms.

Can I get a remote job as a data scientist?

Yes, remote data scientist positions are available across various industries and companies. These roles typically require strong skills in programming, data analysis, and machine learning, and often involve using tools like Python, R, and cloud platforms. Candidates should have relevant education, experience, and sometimes certifications to qualify for remote work opportunities.

Is 30 too late for data science?

The remote data science student role typically values skills and experience over age; many professionals transition into data science later in life. Learning programming languages like Python, gaining experience with data analysis tools, and building a portfolio can help regardless of age. Age should not be a barrier to entering the field if you develop relevant skills and stay committed.

How do Remote Data Science Students typically collaborate and communicate with peers and instructors to enhance their learning experience?

Remote Data Science Students often engage with peers and instructors through online platforms such as discussion forums, video calls, and collaborative coding environments. Regular participation in virtual study groups, project teams, and mentorship sessions can help students stay motivated and deepen their understanding of complex topics. Proactively reaching out for feedback, sharing progress, and contributing to group projects are key ways to build valuable connections and learn industry-relevant teamwork skills, even in a remote setting.

What is the 80 20 rule in data science?

The 80/20 rule in data science suggests that roughly 80% of results come from 20% of the efforts or data. Data scientists often focus on the most impactful features or data subsets to improve model performance efficiently.

What are the key skills and qualifications needed to thrive as a Remote Data Science Student, and why are they important?

To thrive as a Remote Data Science Student, you need a solid grounding in statistics, programming (Python or R), and data analysis, often supported by a relevant undergraduate degree or coursework. Familiarity with tools like Jupyter Notebooks, SQL, Git, and data visualization software is essential, along with experience using online learning platforms. Strong time management, self-motivation, and effective communication skills help you stay on track and engage with peers and instructors remotely. Mastering these skills ensures you can independently acquire knowledge, complete projects, and collaborate effectively in a virtual learning environment.
What are the most commonly searched types of Data Science Student jobs in Washington? The most popular types of Data Science Student jobs in Washington are:
What job categories do people searching Remote Data Science Student jobs in Washington look for? The top searched job categories for Remote Data Science Student jobs in Washington are:
What cities in Washington are hiring for Remote Data Science Student jobs? Cities in Washington with the most Remote Data Science Student job openings:
Senior Data Scientist

Senior Data Scientist

Booz Allen Hamilton

Springfield, VA • On-site

Other

Medical, Life, Retirement, PTO

Posted 11 days ago


Booz Allen Hamilton rating

8.8

Company rating: 8.8 out of 10

Based on 47 frontline employees who took The Breakroom Quiz

9th of 57 rated business consultants


Job description

Job Number: R0237266
Data Scientist, Senior
The Opportunity:
As a Data Scientist you will lead the integration and application of advanced data analytics to solve complex business challenges and enhance mission security. You will serve as a subject matter expert ( SME ) , responsible for the entire lifecycle of data analysis-from refining business requirements and develop ing sophisticated analytical models to provide strategic recommendations that improve organizational efficiency and mitigate threat s. In this role, you'll leverage a blend of deep technical expertise, strong business acumen, and the ability to lead, manage, and support critical operational and policy - related initiatives.
What You'll Do:
  • Architect, develop , and maintain advanced analytic models, visualizations, and tools to deter, detect, and mitigate threat s.
  • Apply expert knowledge of industry-standard data science principles to identify anomalous events and provide actionable intelligence.
  • Collaborate with project requestors, senior stakeholders, and program managers to define, clarify, and refine complex business needs and strategic objectives.
  • Utilize data-driven insights to recommend significant changes and process improvements.
  • Manage and support business operations and policy develop ment lifecycles.
  • Serve as an SME for the develop ment, review, coordination, promulgation, and compliance of enterprise-wide policies , including the maintenance of Self-Inspection Checklists and related documentation.
  • Own the develop ment and maintenance of sophisticated risk-scoring models and other data analytics tools.
  • Drive the implementation and sustainment of data analysis platforms, ensuring system integrity by capturing and analyzing met rics on system errors, failures, and performance.
  • Translate complex quantitative and qualitative analysis into clear, compelling visuals, dashboards, and executive-level reports.
  • Provide authoritative visual, technical, and editorial guidance, and confidently brief senior leadership on analytical findings, forecasts, and strategic recommendations.
  • Oversee the capture, maintenance, and accumulation of statistics, ensuring the accuracy of data related to timelines, product transfers between domains, and other key performance indicators.

Join us. The world can't wait.
You Have:
  • 7+ years of experience in integrating, develop ing, and maintaining analytic models, visualizations, and tools
  • 2+ years of experience in one or more Geospatial Information Systems tools such as ArcView, ArcGIS, Remote View, ArcIMS, ERDAS Imagine, Remote View, ERDAS Imagine, Macromedia Dreamweaver, Macromedia Fireworks, Photoshop, HTML, and FrameMaker
  • Experience providing technical and editorial guidance
  • Experience supporting and maintaining risk-scoring models or predictive analytic systems
  • Experience in data visualization and dashboard develop ment using data sets from various sources
  • Ability to lead process improvement initiatives and contribute to the full lifecycle of policy develop ment and business operations
  • Ability to transform complex data sets into compelling visuals, reports, and briefings for leadership
  • Active TS/SCI clearance; willingness to take a polygraph exam
  • Master's degree in a data science, statistics, or business field and 7+ years of experience in a data science, statistics, or business field, or 10+ years of experience in a data science, statistics, or business field in lieu of a degree

Nice If You Have:
  • 7+ years of experience in integrating, develop ing, and maintaining analytic models, visualizations, and tools in a security or threat-detection context preferred
  • Experience with geospatial analysis, web develop ment principles, or specific program leadership reporting structures
  • Possession of excellent verbal and written communication skills

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.

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About Booz Allen Hamilton

Sourced by ZipRecruiter

Booz Allen Hamilton is a leading provider of management and technology consulting services to the US government in defense, intelligence, and civil markets. Headquartered in McLean, Virginia, the firm also serves major corporations, institutions, and not-for-profit organizations. Founded in 1914 by Edwin G. Booz, the company has a long-standing tradition of helping clients achieve success by delivering a wide range of consulting services that include strategic planning, human capital and learning, communication, systems development, and others. The company's mission is to empower people to change the world, and it has a reputation for maintaining the highest standards of integrity and-excellence.

Industry

It services

Company size

10,000+ Employees

Headquarters location

McLean, VA, US

Year founded

1914