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Full Time Data Science Analytics Jobs (NOW HIRING)

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Full Time Data Science Analytics information

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$37.5K

$122.7K

$196.5K

How much do full time data science analytics jobs pay per year?

As of Jul 18, 2026, the average yearly pay for full time data science analytics in the United States is $122,738.00, according to ZipRecruiter salary data. Most workers in this role earn between $98,500.00 and $136,000.00 per year, depending on experience, location, and employer.

What is the difference between Full Time Data Science Analytics vs Data Analyst?

AspectFull Time Data Science AnalyticsData Analyst
Required CredentialsBachelor's or Master's in Data Science, Statistics, or related fieldsBachelor's in Statistics, Mathematics, or related fields
Work EnvironmentCross-functional teams, often in tech or finance industriesBusiness units, marketing, finance departments
Employer & Industry UsageTech companies, finance, healthcare, consultingRetail, marketing, finance, healthcare
Common Search & ComparisonYesYes

Full Time Data Science Analytics roles typically require advanced degrees and involve building predictive models and machine learning algorithms, often in tech-driven industries. Data Analysts focus on interpreting data, creating reports, and supporting decision-making with descriptive analytics. While both roles analyze data, Data Science Analytics emphasizes predictive and prescriptive insights, whereas Data Analysts focus on historical data analysis.

More about Full Time Data Science Analytics jobs
What cities are hiring for Full Time Data Science Analytics jobs? Cities with the most Full Time Data Science Analytics job openings:
What are the most commonly searched types of Data Science Analytics jobs? The most popular types of Data Science Analytics jobs are:
What states have the most Full Time Data Science Analytics jobs? States with the most job openings for Full Time Data Science Analytics jobs include:
Infographic showing various Full Time Data Science Analytics job openings in the United States as of July 2026, with employment types broken down into 1% Internship, 94% Full Time, 3% Part Time, and 2% Contract. Highlights an 79% Physical, 5% Hybrid, and 16% Remote job distribution, with an average salary of $122,738 per year, or $59 per hour.
Data Science & Analytics Technical Lead

Data Science & Analytics Technical Lead

Platinum Technologies

Tampa, FL

Full-time

Posted 9 days ago


Job description

Who we are! 

Platinum Technologies is a Northern Virginia based integrated solutions firm that specializes in Cybersecurity, Cloud and Digital Services to the Public Sector. Our team solves hard problems and helps our Mission Partners achieve their goals. If you are self-motivated, possess demonstrated learning agility, and are passionate about delivering high-quality work products - we want to hear from you.

We lead with technical expertise, but that is just the tip of the iceberg - the 'Why' matters. At Platinum, we don't hire people to do a job. We provide professional and leadership development to complement our self-motivated domain experts. Our teammates are dot-connecting leaders that operate in a mutually accountable environment to deliver thought leadership, expert technical analysis, and quality execution for our clients. 

You

Platinum Technologies is seeking an Data Science & Analytics Technical Lead to join our company. The Data Science & Analytics Technical Lead provides leadership, technical direction, and oversight for data science, analytics, and decision-support activities. The position leads analytical initiatives, manages distributed teams, and ensures delivery of high-quality analytical products that support mission, operational, and strategic objectives.

This role is onsite at MacDill AFB, Tampa, FL (Onsite)

Required Clearance: Active TS/SCI security clearance

Key Responsibilities

   Lead the planning, execution, and delivery of data science and analytics initiatives.
   Provide technical oversight and mentorship to analysts and data scientists.
   Develop and implement analytical methodologies and reporting solutions.
   Translate customer requirements into actionable analytical products.
   Coordinate analytical activities across multiple organizations and stakeholders.
   Establish standards and best practices for data analysis and reporting.
   Evaluate and integrate emerging digital capabilities and technologies.
   Present findings and recommendations to senior leadership.
   Ensure data integrity, quality, and compliance with applicable standards.
   Support strategic planning through data-driven insights.
   Lead development of data governance and quality assurance processes.
   Manage analytical roadmaps, priorities, and resource allocation.
   Conduct technical reviews of analytical products and methodologies.
   Develop performance metrics, KPIs, and measurement frameworks.
   Support continuous process improvement and innovation initiatives.


Required Qualifications

   Active TS/SCI security clearance.
   Bachelor of Science (BS) in Data Science, Computer Science, Statistics, Applied Mathematics, Information Systems, Engineering, or a related quantitative discipline.
   Current DoD 8570-compliant certification.
   Demonstrated experience leading technical teams and analytical initiatives.
   Strong written and verbal communication skills.
   Experience managing multiple projects and priorities simultaneously.
   Knowledge of data management principles and analytics methodologies.
   Experience developing executive-level briefings and reports.
   Ability to communicate technical concepts to non-technical audiences.
   Strong problem-solving and organizational skills.


Desired Qualifications

   Five (5) years of experience working in SOF analytical support.
   Three (3) years of experience centrally managing distributed data support teams in SOF organizations at the headquarters echelon.
   Three (3) years of experience with SOF digital capabilities.
   Three (3) years of experience with SOF Headquarters elements, SOF Service Component Headquarters, and Theater Special Operations Commands.
   Experience with enterprise analytics platforms and business intelligence tools.
   Experience supporting geographically dispersed organizations.
   Experience implementing data governance frameworks.
   Experience mentoring and developing technical personnel.

 

The Company is an Equal Opportunity/Affirmative Action employer. All qualified candidates will receive consideration for employment without regard to disability, protected veteran status, race, color, religious creed, national origin, citizenship, marital status, sex, sexual orientation/gender identity, age, or genetic information. 

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
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