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Remote Data Science Student Jobs in Ohio (NOW HIRING)

Data Strategist

Continental, OH · Remote

$115K - $125K/yr

This is a remote position requiring all work be performed in the continental United States. US ... Bachelor's degree in Information Systems, Data Science, Computer Science, or related discipline.

Work in partnership with data science teams and with business analysts in refining their data ... Remote roles will also have the opportunity to come together in our offices for moments that matter.

Work in partnership with data science teams and with business analysts in refining their data ... Remote roles will also have the opportunity to come together in our offices for moments that matter.

Work in partnership with data science teams and with business analysts in refining their data ... Remote roles will also have the opportunity to come together in our offices for moments that matter.

Data Analyst

Dayton, OH · On-site +1

$61K - $141K/yr

Remote Work: No Job Number: R0241818 Location: Dayton,OH,US Share job via: Share Data Analyst The ... Develop data analytics and visualizations by applying proven, industry-standard data science ...

Remote Sensing Scientist

Dayton, OH · Remote

$91K - $140K/yr

... science, technology, and innovation problems. This work is in support of US Air Force and ... Experience with common remote sensing EO-IR data formats Desired Qualifications: * Master's degree ...

Data Analyst

Dayton, OH · On-site +1

$61K - $141K/yr

Develop data analytics and visualizations by applying proven, industry-standard data science ... Remote : If this position is listed as remote, there may still be occasions when you are required ...

Master's Degree in computer science, statistics, economics or related fields * 3+ years of work and ... Remote roles will also have the opportunity to come together in our offices for moments that matter.

New

Master's Degree in computer science, statistics, economics or related fields * 3+ years of work and ... Remote roles will also have the opportunity to come together in our offices for moments that matter.

New

Showing results 21-40

Remote Data Science Student information

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 is a remote data science student?

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.

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 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 Ohio?

The most popular types of Data Science Student jobs in Ohio are:

What cities in Ohio are hiring for Remote Data Science Student jobs?

Cities in Ohio with the most Remote Data Science Student job openings:

Data Strategist

A-TEK Inc.

Continental, OH • Remote

$115K - $125K/yr

Full-time

Re-posted 14 days ago


Job description

A-TEK is seeking a Data Strategist to lead enterprise data strategy, governance, and analytics modernization efforts supporting DHS Health IT initiatives. This position will collaborate with business leaders, technical teams, and Government stakeholders to establish enterprise data standards, improve data quality, and maximize the value of organizational data assets. This is a remote position requiring all work be performed in the continental United States. US Citizenship is required for consideration for this position.

Essential Responsibilities

  • Develop enterprise data governance strategies and implementation roadmaps.
  • Establish data quality, metadata, master data, and data stewardship frameworks.
  • Define enterprise reporting and analytics strategies aligned with organizational objectives.
  • Collaborate with stakeholders to identify strategic data requirements.
  • Develop policies for data management, security, accessibility, and lifecycle management.
  • Support implementation of enterprise data governance tools and best practices.
  • Analyze current data architecture and recommend modernization initiatives.
  • Develop executive dashboards and performance measurement strategies.
  • Facilitate data governance working groups and stakeholder workshops.
  • Coordinate with data engineers, analysts, and business leaders to improve enterprise reporting capabilities.
  • Monitor data quality metrics and recommend corrective actions.
  • Support strategic planning and decision-making through data-driven insights.

Minimum Qualifications

  • Bachelor's degree in Information Systems, Data Science, Computer Science, or related discipline.
  • Minimum ten (10) years of experience in enterprise data management or analytics.
  • Demonstrated experience implementing data governance frameworks.
  • Experience developing enterprise data strategies and roadmaps.
  • Knowledge of data architecture, metadata management, and data quality principles.
  • Strong analytical, facilitation, and communication skills.
  • Ability to obtain and maintain DHS Public Trust suitability.

Preferred Qualifications

  • Master's degree in Data Science, Analytics, Information Management, or related discipline.
  • Experience supporting Federal healthcare organizations.
  • Familiarity with DAMA-DMBOK or DCAM frameworks.

Compensation

Expected Salary Range: $115,000-$125,000 annually. Actual compensation will be determined based on experience, qualifications, geographic location (if applicable), and final contract funding.

This position is expected to support a federal customer. Employment is contingent upon contract award and successful completion of any required background investigation or security requirements.