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Weekend Data Science Jobs in Tampa, FL (NOW HIRING)

Lincare

Data Scientist

Clearwater, FL · On-site

Responsible for data analytics / data science on massive sets of complex and, sometimes, unstructured data toprepare for statistical analysis. * Manipulates or converts data according to analysis ...

Lincare Holdings, Inc.

Data Scientist

Clearwater, FL · On-site

Responsible for data analytics / data science on massive sets of complex and, sometimes, unstructured data to prepare for statistical analysis. * Manipulates or converts data according to analysis ...

MANTECH

Data Scientist

Tampa, FL

Demonstrated experience applying data science methods to real-world data problems. * Proficiency in Agile Development and Git Operations. * Experience creating, maintaining, and communicating complex ...

ManTech International

Data Scientist

Tampa, FL · On-site

Master's degree in Data Science, Applied Mathematics, Statistics, Physics, or Computer Science. * Experience with the Sponsor's primary cyber risk and compliance automation tools. Clearance ...

Pwc

AIT - AI Data Scientist Manager

Tampa, FL · On-site

$99K - $297K/yr

Industry/Sector Not Applicable Specialism Data Science Management Level Manager & Summary The Opportunity As an AI Data Scientist Manager, you will play a pivotal role within our Data and Analytics ...

PwC South Africa

AIT - AI Data Scientist Manager

Tampa, FL · On-site

$120 - $210/hr

Leading data science initiatives to transform raw data into actionable insights for informed decision-making * Guiding teams in the application of advanced analytics and statistical techniques to ...

SPEROS

Data Scientist III

Tampa, FL · On-site

$108 - $165/hr

Bachelor's Degree in data science, mathematics, statistics, computer science, or related quantitative field Preferred Education Level: Master's Degree Minimum Experience Required: Bachelor's degree ...

New

JPMorgan Chase & Co.

Data Scientist Lead

Tampa, FL · On-site

$170 - $230/hr

Computer Science, Mathematics, Operations Research, Data Science. * 7+ years of experience in data science or quantitative analytics, with at least 2+ years of experience in document AI, computer ...

Socket.dev

Data Scientist III- Operations

Clearwater, FL · On-site

$120 - $170/hr

... Science & AI and work with senior data scientists and operational stakeholders to develop optimization models, predictive models, and automated workflows. Your work will help PODS make better ...

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Weekend Data Science information

See Tampa, FL salary details

$35.4K

$116K

$185.7K

How much do weekend data science jobs pay per year?

As of Aug 25, 2026, the average yearly pay for weekend data science in Tampa, FL is $115,990.00, according to ZipRecruiter salary data. Most workers in this role earn between $93,100.00 and $128,500.00 per year, depending on experience, location, and employer.

What is a weekend data science?

A Weekend Data Science job typically refers to a part-time or contract-based data science position where the primary work hours are on weekends. These roles are ideal for students, professionals seeking extra income, or those looking to gain experience in the data science field without committing to a full-time weekday schedule. Weekend data scientists analyze data, build models, and generate insights just like full-time data scientists but with flexible or reduced hours that fit around a weekend schedule.

What skills and qualifications are needed to thrive as a weekend data scientist?

To thrive as a Weekend Data Scientist, you need strong analytical skills, proficiency in statistics, and expertise in programming languages such as Python or R, often supported by a degree in a quantitative field. Familiarity with data analysis tools like SQL, machine learning libraries (e.g., scikit-learn, TensorFlow), and data visualization platforms (e.g., Tableau) is typically required. Excellent time management, problem-solving ability, and effective communication are crucial soft skills for delivering insights on tight weekend deadlines. These skills ensure that data-driven decisions can be made efficiently and accurately, even within limited time frames.

What challenges do data scientists working on weekends face, and how can they be managed?

Data scientists working weekend shifts often encounter challenges such as limited access to colleagues for collaboration or support, since many team members may not be available outside standard business hours. Additionally, urgent issues or data anomalies may require quick, independent problem-solving. Proactive communication with weekday teams, thorough documentation, and setting up clear protocols for handoffs can help manage these challenges and ensure smooth workflow continuity.

What is the difference between Weekend Data Science vs Part-Time Data Analyst?

AspectWeekend Data SciencePart-Time Data Analyst
CredentialsTypically requires a degree in data science, statistics, or related fieldOften requires a degree or relevant experience in data analysis or related fields
Work EnvironmentProject-based, flexible hours, often remote or on-site during weekendsFlexible hours, may be remote or on-site, often with less technical complexity
Industry UsageUsed in tech, finance, healthcare, and startups for specialized projectsCommon in retail, marketing, and small businesses for routine data tasks

Weekend Data Science roles focus on complex data projects requiring advanced skills, often during weekends, while Part-Time Data Analysts handle routine data tasks with less technical depth, offering flexible schedules. Both roles serve different needs but share a focus on data work outside standard hours.

Do weekend data scientists work on weekends?

Weekend data scientists may work on weekends depending on project deadlines, company policies, or client needs. Typically, data science roles involve regular weekday hours, but some positions require weekend work, especially in roles with flexible or project-based schedules. It is important to clarify work hours during the hiring process or in job descriptions.

What are the most commonly searched types of Data Science jobs in Tampa, FL?

The most popular types of Data Science jobs in Tampa, FL are:

What are popular job titles related to Weekend Data Science jobs in Tampa, FL?

For Weekend Data Science jobs in Tampa, FL, the most frequently searched job titles are:

What job categories do people searching Weekend Data Science jobs in Tampa, FL look for?

The top searched job categories for Weekend Data Science jobs in Tampa, FL are:

What cities near Tampa, FL are hiring for Weekend Data Science jobs?

Cities near Tampa, FL with the most Weekend Data Science job openings:

Weekend Data Science jobs near you
Infographic showing various Weekend Data Science job openings in Tampa, FL as of August 2026, with employment types broken down into 87% Full Time, and 13% Part Time. Highlights an 88% In-person, and 12% Remote job distribution, with an average salary of $115,990 per year, or $55.8 per hour.

Data Scientist - Special Operations

Science Applications International Corporation

Tampa, FL • On-site

Full-time

Posted 19 days ago

SAIC rating

7.9

Company rating: 7.9 out of 10

Based on 79 frontline employees who took The Breakroom Quiz

79th of 225 rated it services

Job description


SAIC is seeking an experienced TS/SCI cleared Data Science & Analytics Technical Lead to drive the strategic integration of advanced analytics capabilities across the SOCOM Special Operations Forces (SOF) Enterprise. This leadership role focuses on applying cutting-edge scientific methods, algorithms, and systems to leverage vast quantities of structured and unstructured data. The ultimate goal is to transform complex data into actionable intelligence and critical knowledge for SOCOM Headquarters (HQ) staff, Service Components, and Theater Special Operations Commands (TSOCs).
Work is performed on site in: Tampa, FL.
The position primarily supports SOCOM Headquarters and associated SOF Service Components and TSOCs.
The ideal candidate will have a robust background in SOF analytical support and digital capabilities, coupled with leadership experience in managing distributed data support teams within a multi-echelon, high-paced operational environment.
The Data Science & Analytics Technical Lead will be responsible for:
  • Driving the strategic integration of advanced analytics and data science solutions within the SOF Enterprise.
  • Utilizing scientific methods, advanced algorithms, and analytical systems to develop actionable insights from structured and unstructured data.
  • Providing critical data support to HQ staff, SOF Service Components, and TSOCs to enhance decision-making and situational awareness.
  • Acting as the primary technical and strategic resource for implementing digital capabilities across the SOF Enterprise.
  • Leading and overseeing geographically distributed data support teams, providing central management and synchronization with SOF operational priorities.
  • Collaborating with SOF HQ elements, Service Components, and TSOCs to analyze digital data and operational requirements.
  • Proven ability to lead and deliver transformative data science and analytics solutions in mission-critical environments.

Qualifications
Required Education and Years of Experience:
  • Bachelors degree with fifteen (15) years of experience or Masters Degree with twelve (12) years of experience.

Required Special Operations Forces (SOF) Enterprise Knowledge & Experience:
  • Five (5) years of experience working in SOF analytical support.
  • Three (3) years experience centrally managing distributed data support teams in SOF organizations HQ echelon.
  • Three (3) years experience with SOF digital capabilities.
  • Three (3) experience with SOF HQ elements, SOF Service Components HQs, and SOF Theater Special Operations Commands.

Required Clearance:
  • Active TS/SCI clearance.

Additional Required Skills and Attributes:
  • Expertise in applying advanced analytics, artificial intelligence (AI), and machine learning (ML) methodologies to extract actionable insights from complex datasets.
  • Strong understanding of SOF operational processes and mission-essential priorities.
  • Proven track record in managing distributed teams and delivering results in dynamic mission environments.
  • Experience implementing digital transformation strategies tailored for the SOF Enterprise.
  • Strong leadership, communication, and interpersonal skills.

Travel Requirements:
  • This role may require periodic travel to support coordination with SOF HQ elements, Service Components, and TSOCs.

Desired Qualifications:
Experience in SOF Analytical Support:
  • Five (5) years of experience providing analytical support within the SOF enterprise environment.

Leadership Experience:
  • Three (3) years of experience managing and leading distributed data support teams in SOF organizations at the HQ echelon level.

SOF Digital Capabilities Experience:
  • Three (3) years of experience with SOF digital systems, data processing platforms, and advanced data-driven decision-making tools.

SOF Enterprise Expertise:
  • Three (3) years of experience working with SOF HQ elements, Service Component HQs, and Theater Special Operations Commands (TSOCs).
  • PMP.

About Us
SAIC® is a premier mission integrator focused on advancing the power of technology and innovation to serve and protect our world. Our robust portfolio of offerings across the defense, space, intelligence, and civilian markets includes secure high-end solutions in mission IT, enterprise IT, engineering services, and professional services. We integrate emerging technology, rapidly and securely, into mission critical operations that modernize and enable critical national imperatives.
We are approximately 23,000 strong; driven by mission, united by purpose, and inspired by opportunities. SAIC is an Equal Opportunity Employer. Headquartered in Reston, Virginia, SAIC has annual revenues of approximately $7.3 billion. For more information, visit saic.com. For ongoing news, please visit our newsroom.

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