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Remote Data Science Student Jobs in Florida (NOW HIRING)

This role requires both scientific rigor and practical execution, including hands-on engagement with field and mill data, geospatial information, remote sensing platforms, sensor technologies, and ...

Data Scientist

Tampa, FL · On-site +1

$99K - $225K/yr

Remote Work: No Job Number: R0245472 Location: Tampa,FL,US Share job via: Share Data Scientist The Opportunity: As a data scientist, you're excited at the prospect of unlocking the secrets held by a ...

Location- Hybrid (3 days in office, 2 days remote): Atlanta, GA, Columbus, GA or Jacksonville, FL ... Establish and promote best practices in data science, machine learning, experimentation, model ...

Location- Hybrid (3 days in office, 2 days remote): Atlanta, GA, Columbus, GA or Jacksonville, FL ... Establish and promote best practices in data science, machine learning, experimentation, model ...

... Data Science, Machine Learning, or a related field. Additional Information Work Style: This position will have a hybrid work style, with 3 days per week in office and 2 days per week remote/home.

... Data Science, Machine Learning, or a related field. Additional Information Work Style: This position will have a hybrid work style, with 3 days per week in office and 2 days per week remote/home.

... Data Science, Machine Learning, or a related field. Additional Information Work Style: This position will have a hybrid work style, with 3 days per week in office and 2 days per week remote/home.

Azure Cloud Data Engineer

Weston, FL · Remote

$108K - $130K/yr

AZURE DATA ENGINEER (REMOTE) ARC Group has an immediate opportunity for an aspiring Azure / Cloud ... Bachelor's degree in Computer Science, Information Systems, Engineering, Mathematics * 6+ years of ...

We are seeking a data science manager to assist us with developing and managing a large repository ... NO OPTION FOR HYBRID OR REMOTE. Doctorate degree in a related field and seven (7) years of related ...

The individual will support advanced remote sensing exploitation functions through detailed ... Utilize advanced GEOINT tools to analyze and exploit remotely sensed data to produce and ...

Data Scientist, Lead

Tampa, FL · On-site +1

$112K - $257K/yr

Remote Work: No Job Number: R0245475 Location: Tampa,FL,US Share job via: Share Data Scientist, Lead The Opportunity: As a senior data scientist, you're excited at the prospect of unlocking the ...

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 Florida? The most popular types of Data Science Student jobs in Florida are:
What cities in Florida are hiring for Remote Data Science Student jobs? Cities in Florida with the most Remote Data Science Student job openings:
Infographic showing various Remote Data Science Student job openings in Florida as of July 2026, with employment types broken down into 5% Internship, 79% Full Time, 11% Part Time, and 5% Temporary. Highlights an 100% Remote job distribution.

Senior Project Manager, Data Science Initiatives

The Jackson Laboratory

Gainesville, FL • Remote

$74K - $125K/yr

Full-time

Re-posted 14 days ago


The Jackson Laboratory rating

8.3

Company rating: 8.3 out of 10

Based on 22 frontline employees who took The Breakroom Quiz

33rd of 120 rated laboratories


Job description

The Senior Project Manager, Data Science Initiatives will play a leadership role within JAX Research, overseeing the planning, facilitating, executing, and delivering high-priority data science projects within established timelines, resource constraints, and defined objectives. This role is an essential point of leadership for the onboarding and setup of new initiatives. This role is responsible for building and standardizing the project management systems, frameworks, and tools that underpin Data Science Initiatives, establishing consistent processes and KPIs that scale across a growing and complex research portfolio. In this research-driven environment, the Senior Project Manager ensures the effective and efficient use of personnel, equipment, funding, and other resources to advance project goals. This role monitors project progress, identifies risks or deviations from expected outcomes, and implements corrective actions as needed. This position operates across cross-functional teams to ensure project objectives are met, stakeholder needs are addressed, and high-quality deliverables are produced. The Senior Project Manager provides clear communication, strategic context, and data-informed recommendations to internal and external stakeholders while driving alignment, accountability, and efficient execution across the project lifecycle.

Remote (with travel to JAX sites as needed) Salary Range: $74,772 - $125,184 based on years of related experience

Key Responsibilities (What you contribute):

  • Build and standardize project management systems, frameworks, tools, and KPIs that reflect best practices and enable consistent, scalable support across complex initiatives.

  • Maintain visibility across the full project portfolio, including intake and setup of new projects, establishing charters, resource plans, and clear frameworks before execution begins.

  • Document and track all active projects at an appropriate level of detail, capturing objectives, milestones, task priorities, team members and roles, commitment levels, decision points, and resource availability (staff, funding, equipment).

  • Partner with leads to map tasks and timelines, identify interdependencies, and ensure alignment across concurrent initiatives.

  • Develop a sufficient understanding of the aims of the sponsors and collaborators to effectively coordinate project teams and serve as a bridge between technical and operational workstreams.

  • Keep projects on track by proactively identifying and resolving blocking issues, unclear priorities, insufficient resources, risks, and deviations from expected outcomes, implementing corrective actions as needed.

  • Coordinate handoffs and ensure continuity as projects transition between phases or team members, including periodic and final review of sponsor satisfaction.

  • Contribute directly to hands-on technical or experimental work, documentation, reports, or publications as project needs require.

  • Mentor and coach a team of project and/or program managers across both technical and emotional intelligence domains.

Knowledge, Skills, and Abilities (What you're good at):

  • Bachelor's degree required/Master's preferred

  • 7 years required/10 years preferred of career project or program manager with experience in driving complex, long-term, strategic projects

  • Proven track record of managing large, complex research programs and cross-functional teams

  • Demonstrated experience being an agent of change with proven track record of influence and driving required operational change.

  • Demonstrated ability to successfully design & implement a project management framework that drives consistency and operational excellence

  • High fluency in risk management, decision making, and problem solving

  • Exceptional communication skills and stakeholder management experience

  • Experience managing budgets and driving measurable business impact

  • Experience building or scaling a project management function within a research organization

  • Familiarity with data science workflows, machine learning project lifecycles, or research operations

  • Experience contributing to documentation and reports

  • Ability to navigate matrixed or cross-functional environments and lead through influence

Why JAX

At JAX, you'll join a missiondriven organization dedicated to advancing human health through cuttingedge science, data innovation, and collaborative discovery. You'll shape partnerships and programs that accelerate breakthroughs in genetics, disease modeling, and translational research.

If you're a strategic thinker, a relationship builder, and a leader who thrives at the intersection of science and technology, we'd love to meet you.

About JAX:

The Jackson Laboratory is an independent, nonprofit biomedical research institution with a National Cancer Institute-designated Cancer Center and nearly 3,000 employees in locations across the United States (Maine, Connecticut, California),Japan andChina. Its mission is to discover precise genomic solutions for disease and empower the global biomedical community in the shared quest to improve human health.

Founded in 1929, JAX applies over nine decades of expertise in genetics to increase understanding of human disease, advancing treatments and cures for cancer, neurological and immune disorders, diabetes, aging and heart disease. It models and interprets genomic complexity, integrates basic research with clinical application, educates current and future scientists, and provides critical data, tools and services to the global biomedical community. For more information, please visitwww.jax.org.

EEO Statement:

The Jackson Laboratory provides equal employment opportunities to all employees and applicants for employment in all job classifications without regard to race, color, religion, age, mental disability, physical disability, medical condition, gender, sexual orientation, genetic information, ancestry, marital status, national origin, veteran status, and other classifications protected by applicable state and local non-discrimination laws.


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