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Remote Data Science Intern Jobs in Nevada (NOW HIRING)

This is a remote/WFH position with all necessary equipment provided. What You'll Do * Lead data ... Bachelor's degree in life sciences, health, clinical, biological, or mathematical field. * No less ...

This is a remote/WFH position with all necessary equipment provided. What You'll Do * Lead data ... Bachelor's degree in life sciences, health, clinical, biological, or mathematical field. * No less ...

Tax Intern (January 2027)

Las Vegas, NV · On-site +1

$29 - $33/hr

You will apply critical analysis to data, preparing meticulous work papers and tax returns in ... Champion sustainable workplace practices by supporting remote-first operations, promoting paperless ...

This remote role is open to US based candidates and no relocation benefits are available. Meet the ... Joining us means working at the intersection of data science, marketing operations, and high-stakes ...

New

Data Engineer

Henderson, NV · On-site +1

$135K - $165K/yr

Education * Bachelor's in Computer Science or a related field, or equivalent experience. Master ... Work Location & Schedule This role offers either a hybrid or fully remote work arrangement.

Remote micro1 is engaging Computational Biology Experts to contribute their advanced scientific ... Evaluate scientific content for accuracy, relevance, and clarity, ensuring data aligns with ...

Showing results 21-40

Remote Data Science Intern information

What is a remote data science intern?

A Remote Data Science Intern is a student or recent graduate who works with a company or organization on data science projects while working from a location outside the main office, typically from home. Their tasks often include analyzing large datasets, creating data visualizations, building statistical models, and supporting the team with data-driven insights. Remote internships offer flexibility and allow interns to gain real-world experience in data science while collaborating with teams using digital communication and project management tools. This type of internship helps interns build valuable technical and soft skills that are essential in the evolving data science field.

What types of projects does a remote data science intern typically work on, and how do they collaborate with their team?

Remote Data Science Interns often work on projects such as data cleaning, exploratory data analysis, building predictive models, or developing data visualizations. Collaboration typically occurs through virtual meetings, shared code repositories, and project management tools, allowing interns to interact regularly with data scientists, engineers, and business analysts. Interns are usually assigned a mentor or supervisor who provides guidance and feedback, helping them align their work with team objectives. This setup not only enhances technical growth but also fosters communication and teamwork skills essential for future roles.

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

AspectRemote Data Science InternRemote Data Analyst
Required CredentialsTypically pursuing or recently completed a degree in Data Science, Computer Science, or related fieldsOften holds a degree in Statistics, Mathematics, or related areas; may have certifications in data analysis tools
Work EnvironmentInternship programs, often part-time or project-based, with mentorshipFull-time or part-time remote roles, focusing on data interpretation and reporting
Employer & Industry UsageUsed by tech companies, startups, and research institutions for entry-level talentCommon across finance, marketing, healthcare, and tech industries for data-driven decision making

The main difference between a Remote Data Science Intern and a Remote Data Analyst lies in experience and scope. Interns are typically students or recent graduates gaining hands-on experience, while Data Analysts are more experienced professionals focused on analyzing and interpreting data to support business decisions. Both roles often work remotely and require familiarity with data tools, but their responsibilities and career stages differ.

What are the key skills and qualifications needed to thrive as a remote data science intern, and why are they important?

To thrive as a Remote Data Science Intern, you need a solid background in statistics, programming (Python or R), and data analysis, typically supported by coursework in data science or related fields. Familiarity with tools like Jupyter Notebook, SQL databases, and version control systems such as Git is often expected. Strong problem-solving abilities, self-motivation, and clear communication skills help you collaborate effectively and manage tasks independently in a remote setting. These skills ensure you can analyze data accurately, contribute to team projects, and adapt to the demands of remote work environments.
What are the most commonly searched types of Remote Data Science jobs in Nevada? The most popular types of Remote Data Science jobs in Nevada are:
What job categories do people searching Remote Data Science Intern jobs in Nevada look for? The top searched job categories for Remote Data Science Intern jobs in Nevada are:

C2 Mission Systems Data Architect

Booz Allen Hamilton, Inc.

Nellis Air Force Base, NV • On-site, Remote

$60.50 - $78/hr

Full-time, Part-time

Medical, Life, Retirement, PTO

Posted 24 days ago


Booz Allen Hamilton rating

8.9

Company rating: 8.9 out of 10

Based on 49 frontline employees who took The Breakroom Quiz

9th of 72 rated business consultants


Job description


Remote Work:
No
Job Number:
R0244070
Location:
Nellis AFB,NV,US
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C2 Mission Systems Data Architect
The Opportunity:
For an organization to transform in today's digital world, it needs to properly collect, store, and organize its data. Effective data management can enable more efficient operations, yielding more growth. As a data architect, you know how to apply your creative-thinking and analytical mindset to help organizations manage their data assets. We're looking for a data architecture lead like you to solve complex challenges and deliver leading-edge solutions for our warfighters.
As a data architect on our battle management team, you'll use your extensive technical expertise to lead the design of data architecture solutions for defining how mission data is modeled, governed, and moved across next-generation Command & Control (C2) systems - turning sensor feeds, mission systems, and enterprise stores into a coherent, interoperable data foundation that operators and analysts can trust. You'll resolve routine data architecture-related issues in collaboration with business analysts and technology teams by analyzing data architecture to make decisions and recommendations on future data architecture developments.
In this role, you'll share your technical expertise, introduce best practices, and use tools like AWS and data fabric and data mesh to model from concept to physical implementation, designing the data fabric/mesh that connects mission systems, establishing master data management and governance, and setting the data strategy that ties it all together. You'll architect on the cloud (AWS) and align to DoDAF and interoperability standard. You'll lead your team as it designs, defines, develops, and tests cloud solution components, and you'll serve as a liaison between clients and developers to ensure that requirements are met and solutions are delivered.
With your motivation to establish processes and facilitate technological innovation, you'll make a lasting impact on the warfighters.
Join us. The world can't wait.
You Have:
  • Experience in enterprise data modeling from conceptual through logical to physical design
  • Experience designing data fabric or data mesh architectures across multiple mission systems
  • Experience establishing master data management (MDM) and data governance practices
  • Experience applying DoDAF data-centric views and interoperability standards to system-of-systems designs
  • Experience defining data strategy that spans and integrates multiple mission systems
  • Experience with cloud data architecture on AWS, including data governance and security
  • Ability to translate mission requirements into scalable, interoperable, and trusted data designs
  • Ability to obtain a Secret clearance
  • Bachelor's degree in Computer Science, Engineering, or Data Science and 10+ years of experience with data architecture or data engineering, including mission or defense systems, or 14+ years of experience with data architecture or data engineering, including mission or defense systems, in lieu of a degree

Nice If You Have:
  • Experience with C2, ISR, or sensor data and its architectural and latency constraints
  • Experience designing real-time and streaming data architectures, such as Kafka, Kinesis, or Flink
  • Experience with data cataloging, lineage, and metadata management tooling
  • Experience with DataOps, data pipeline automation, and CI/CD for data
  • Master's degree
  • Secret clearance
  • Security+ CE certification or equivalent DoD 8570 IAT Level II certification
  • TOGAF certification or equivalent
  • AWS certification, including Solutions Architect, Data Analytics, or Database

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 $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 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

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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