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Part Time Remote Data Science Jobs in Florida (NOW HIRING)

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 ... Full-time and part-time employees working at least 20 hours a week on a regular basis are eligible ...

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 ... Full-time and part-time employees working at least 20 hours a week on a regular basis are eligible ...

Masters or above degree in Health Sciences, Psychology, Biology, Education, Data Science, or a ... Hybrid and remote work options may be available depending on project needs. * Compensation ...

Data Engineer, Senior

Tampa, FL · On-site +1

$99K - $225K/yr

Remote Work: No Job Number: R0245470 Location: Tampa,FL,US Share job via: Share Data Engineer ... Master's degree in Mathematics, Operations Research, Engineering, or Data Science Nice If You Have:

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Part Time Remote Data Science information

How do part-time remote data scientists typically collaborate with full-time team members and stay aligned on project goals?

Part-time remote data scientists often use collaboration tools like Slack, Zoom, and project management platforms to communicate regularly with full-time team members. They participate in scheduled check-ins, contribute to shared documentation, and frequently update progress on assigned tasks to ensure alignment with project goals. Clear communication and proactive scheduling help address challenges such as different time zones and limited overlapping hours. This structure supports strong teamwork and keeps part-time contributors integrated into the broader data science workflow.

What is the difference between Part Time Remote Data Science vs Part Time Remote Data Analysis?

AspectPart Time Remote Data SciencePart Time Remote Data Analysis
Required CredentialsBachelor's or higher in Data Science, Statistics, or related fields; sometimes certifications in machine learning or data analysisBachelor's in Data Analysis, Statistics, or related fields; certifications in Excel, SQL, or data visualization tools
Work EnvironmentRemote, project-based, often involves coding, modeling, and algorithm developmentRemote, focuses on interpreting data, creating reports, and visualizations
Employer & Industry UsageTech companies, finance, healthcare, e-commerceMarketing agencies, business consulting, retail, finance

Part Time Remote Data Science involves more technical skills like machine learning and programming, while Part Time Remote Data Analysis emphasizes interpreting data and creating reports. Both roles are remote and part-time but differ in technical complexity and focus areas.

What is a part time remote data science job?

A part time remote data science job involves working with data to analyze, interpret, and generate insights for organizations, but on a flexible, reduced hour schedule and entirely from a remote location. Typical tasks may include data cleaning, statistical analysis, building machine learning models, and creating data visualizations. These roles are ideal for individuals seeking work-life balance, students, or professionals looking to supplement their income while working from home. Employers often require proficiency in programming languages like Python or R, experience with data tools, and strong analytical skills.

What are the key skills and qualifications needed to thrive as a Part Time Remote Data Scientist, and why are they important?

To thrive as a Part Time Remote Data Scientist, you need a solid understanding of statistics, programming (typically Python or R), and data analysis, usually reinforced by a degree in a relevant field or equivalent work experience. Familiarity with tools such as SQL, Jupyter Notebooks, and machine learning libraries like scikit-learn or TensorFlow, as well as version control systems like Git, is commonly expected. Strong problem-solving skills, effective communication, and self-motivation are crucial for managing projects independently and collaborating remotely. These skills enable you to deliver actionable insights and value to organizations while maintaining productivity and accountability in a flexible, remote environment.
What are the most commonly searched types of Remote Data Science jobs in Florida? The most popular types of Remote Data Science jobs in Florida are:
What are popular job titles related to Part Time Remote Data Science jobs in Florida? For Part Time Remote Data Science jobs in Florida, the most frequently searched job titles are:
What job categories do people searching Part Time Remote Data Science jobs in Florida look for? The top searched job categories for Part Time Remote Data Science jobs in Florida are:
Infographic showing various Part Time Remote Data Science job openings in Florida as of July 2026, with employment types broken down into 100% Part Time. Highlights an 100% Remote job distribution.

$99K - $225K/yr

Full-time, Part-time

Medical, Life, Retirement, PTO

Posted 4 days ago


Booz Allen Hamilton rating

8.8

Company rating: 8.8 out of 10

Based on 48 frontline employees who took The Breakroom Quiz

13th of 72 rated business consultants


Job description


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 data set, and you're fascinated by the possibilities presented by machine learning and artificial intelligence. In an increasingly connected world, massive amounts of structured and unstructured data open new opportunities. As a data scientist at Booz Allen, you can help turn these complex data sets into useful information to solve global challenges. We need you to help find the answers in the data.
On our team, you'll use your analytical skills and data science knowledge to create real-world impact. You'll work closely with your clients to understand their questions and needs, and then dig into their data-rich environments to find the pieces of their information puzzle. You'll develop algorithms and systems and use the right combination of tools and frameworks to turn sets of disparate data points into objective answers to help clients make informed decisions. Ultimately, you'll provide a deep understanding of the data, what it all means, and how it can be used.
Join us. The world can't wait.
You Have:
  • 5+ years of experience with programming languages including R, Python, or C
  • Experience designing, developing, or leveraging relational databases (RDBMS) such as PostgreSQL or MS SQL
  • Experience creating software for retrieving, parsing and processing structured and unstructured data, and developing scalable ETL/ELT workflows for reporting and analytics
  • Experience programming and coding mathematical models
  • Experience with data visualization tools and best practices
  • Knowledge of the Software Development Life Cycle, testing, and version control
  • Ability to cleanse data and develop scripts and programs for converting various types of data into usable formats
  • Ability to work in a cross-functional team, prioritize multiple work tasks, deliver products on time within and to quality standards
  • TS/SCI clearance
  • Bachelor's degree

Nice If You Have:
  • Experience supporting DoD organizations
  • Experience using and deploying machine learning algorithms, including natural language processing (NLP)
  • Experience with web development frameworks, including Shiny, Django, or Flask
  • Experience with data lakes, data warehouses, or data lake houses
  • Experience with cloud services, including AWS or Azure
  • Experience working in an Agile development environment collaborating with Application Developers, Infrastructure Engineers, and stakeholders
  • Experience with CI/CD, including Git, Jenkins, and Docker
  • Experience with distributed data and computing tools such as Spark, Databricks, Hadoop, Hive, AWS EMR, or Kafka
  • Experience with NoSQL implementation using MongoDB or Cassandra
  • Experience with data warehousing, including AWS Redshift, MySQL, or Snowflake

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 $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