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Data Science And Analytics Jobs in New Port Richey, FL

TCS071, T5, Band 8 Job-Specific Essential Duties and Responsiblities: - Serves as the senior technical authority for data science, analytics, and AI/ML, setting strategy aligned with enterprise and ...

Develop scripts and pipelines to process large data streams and support real-time or near-real-time analytics. * Design, develop, test, and document data science microservices and analytical ...

Develop scripts and pipelines to process large data streams and support real-time or near-real-time analytics. * Design, develop, test, and document data science microservices and analytical ...

Develop scripts and pipelines to process large data streams and support real-time or near-real-time analytics. * Design, develop, test, and document data science microservices and analytical ...

Data Science Tutor

Tampa, FL · Remote

$18 - $40/hr

What We Look For In a Data Science Tutor * Advanced Subject Mastery ... Deep knowledge of statistical analysis, data wrangling, exploratory data analysis, machine learning ...

Bachelor's Energy Management, Engineering, Environmental Science, Data Science, Analytics, or related field jobs. Technical Skills: Proficiency in Excel, SQL, data modeling, statistical analysis, and ...

Bachelor's Energy Management, Engineering, Environmental Science, Data Science, Analytics, or related field jobs. Technical Skills: Proficiency in Excel, SQL, data modeling, statistical analysis, and ...

An active Secret security clearance is required (TS/SCI eligibility preferred). * 8+ years of professional experience in data science, analytics, or Operations Research. * Master's degree from an ...

Data Scientist

Tampa, FL · On-site

$145K - $165K/yr

An active Secret security clearance is required (TS/SCI eligibility preferred). * 8+ years of professional experience in data science, analytics, or Operations Research. * Master's degree from an ...

Data Scientist

Tampa, FL

$145K - $165K/yr

An active Secret security clearance is required (TS/SCI eligibility preferred). * 8+ years of professional experience in data science, analytics, or Operations Research. * Master's degree from an ...

Data Scientist

Tampa, FL

$145K - $165K/yr

An active Secret security clearance is required (TS/SCI eligibility preferred). * 8+ years of professional experience in data science, analytics, or Operations Research. * Master's degree from an ...

We seek a highly skilled and motivated Data Scientist / Analyst to join our Supply Chain business unit. The successful candidate will be crucial in leveraging data to improve timely business ...

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Data Science And Analytics information

See New Port Richey, FL salary details

$33.4K

$109.3K

$175K

How much do data science and analytics jobs pay per year?

As of Jul 30, 2026, the average yearly pay for data science and analytics in New Port Richey, FL is $109,322.00, according to ZipRecruiter salary data. Most workers in this role earn between $87,700.00 and $121,100.00 per year, depending on experience, location, and employer.

What work can I do with data science?

Data science and analytics professionals analyze data to uncover insights, build predictive models, and support decision-making across various industries. They work with tools like Python, R, and SQL, and often need skills in statistics, data visualization, and machine learning to perform tasks such as data cleaning, reporting, and developing algorithms.

Is 40 too late for data science?

Data science and analytics roles value skills and experience over age; many professionals transition into the field later in life. Gaining proficiency in programming languages like Python or R, and understanding data tools, can help offset age concerns. Continuous learning and relevant certifications can improve job prospects regardless of age.

What are data science and analytics jobs?

Data science and analytics jobs involve analyzing large datasets to extract insights, support decision-making, and solve business problems. These roles typically require skills in programming, statistics, and tools like Python, R, or SQL, and often involve creating reports or predictive models. Professionals in these fields work in various industries such as finance, healthcare, and technology, with responsibilities that include data cleaning, visualization, and modeling.

What are the key skills and qualifications needed to thrive as a Data Science and Analytics professional, and why are they important?

To thrive in Data Science and Analytics, you need strong skills in statistics, data manipulation, and programming, typically backed by a degree in computer science, mathematics, or a related field. Proficiency with tools like Python, R, SQL, and data visualization platforms such as Tableau, along with knowledge of machine learning frameworks, is highly valued. Strong problem-solving ability, critical thinking, and effective communication skills help translate complex data findings into actionable business insights. These skills are crucial for turning raw data into strategic decisions that drive organizational success.

What are Data Science and Analytics?

Data Science and Analytics refer to the fields that focus on extracting meaningful insights from large and complex data sets. Data Science combines statistics, computer science, and domain knowledge to analyze data, build predictive models, and support data-driven decision-making. Analytics, which is a core part of data science, involves examining data to discover trends, patterns, and correlations that can help organizations solve problems or improve processes. Professionals in these fields use tools such as Python, R, SQL, and machine learning algorithms to analyze data and communicate findings to stakeholders.

What can I do with a data science and analytics degree?

A data science and analytics degree prepares individuals for roles such as data analyst, data scientist, business intelligence analyst, or machine learning engineer. Graduates can work in industries like finance, healthcare, marketing, and technology, utilizing skills in programming, statistical analysis, and data visualization tools like Python, R, SQL, and Tableau.

What is the difference between Data Science And Analytics vs Data Analysis?

AspectData Science And AnalyticsData Analysis
Required SkillsStatistical modeling, programming, machine learningData cleaning, descriptive statistics, visualization
Work EnvironmentCross-functional teams, R&D, predictive modelingBusiness reporting, dashboards, ad hoc analysis
Tools & TechnologiesPython, R, SQL, Hadoop, SparkExcel, SQL, Tableau, Power BI
Industry UsageTech, finance, healthcare, marketingRetail, finance, healthcare, operations

Data Science And Analytics involves advanced techniques like machine learning and predictive modeling, often requiring programming skills. Data Analysis focuses on interpreting existing data through descriptive statistics and visualization for decision-making. Both roles are essential but differ in complexity and scope.

What are some common challenges faced by data science and analytics professionals when working with cross-functional teams?

Data science and analytics professionals often collaborate with colleagues from diverse backgrounds such as engineering, marketing, and business operations. One common challenge is translating complex analytical findings into actionable insights that non-technical stakeholders can easily understand. Additionally, aligning project objectives and timelines across teams can require strong communication and project management skills. Overcoming these challenges is essential for ensuring that data-driven solutions are effectively implemented and contribute to organizational goals.
What cities near New Port Richey, FL are hiring for Data Science And Analytics jobs? Cities near New Port Richey, FL with the most Data Science And Analytics job openings:
Infographic showing various Data Science And Analytics job openings in New Port Richey, FL as of July 2026, with employment types broken down into 86% Full Time, 12% Part Time, and 2% Contract. Highlights an 80% Physical, 6% Hybrid, and 14% Remote job distribution, with an average salary of $109,322 per year, or $52.6 per hour.

Data Science & Analytics Technical Lead

Platinum Technologies

Tampa, FL

Full-time

Re-posted 20 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.