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Data Science And Analytics Jobs in Brandon, FL (NOW HIRING)

Maximus

Chief Data Scientist

Tampa, FL · On-site

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 ...

Venatore Llc

Data Scientist Lead

Tampa, FL · On-site

Lead and provide technical oversight for data engineering, data science, analytics, and predictive analytics teams in support of operational mission objectives. * Establish strategic priorities for ...

AEVEX

Program Data Science Analyst

Tampa, FL · On-site

... graph analytics, and visualization techniques to solve analytical problems with incomplete data ... science microservices and analytical applications • Conduct data analysis to support project ...

AEVEX

Program Data Science Analyst

Tampa, FL

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 ...

AEVEX

Program Data Science Analyst

Tampa, FL · On-site

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 ...

AEVEX

Program Data Science Analyst

Tampa, FL · On-site

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 ...

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All JobsData Science And Analytics JobsData Science And Analytics Jobs in Brandon, FL

Data Science And Analytics information

See Brandon, FL salary details

$32.6K

$106.7K

$170.7K

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 Brandon, FL is $106,650.00, according to ZipRecruiter salary data. Most workers in this role earn between $85,600.00 and $118,200.00 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 Brandon, FL are hiring for Data Science And Analytics jobs? Cities near Brandon, FL with the most Data Science And Analytics job openings:
Data Science And Analytics jobs near you
Infographic showing various Data Science And Analytics job openings in Brandon, FL as of July 2026, with employment types broken down into 90% Full Time, 8% Part Time, and 2% Contract. Highlights an 80% Physical, 6% Hybrid, and 14% Remote job distribution, with an average salary of $106,650 per year, or $51.3 per hour.

Data Science & Analytics Technical Lead

Platinum Technologies

Tampa, FL • On-site

Full-time

Re-posted 20 days ago

Job description

Job Summary:
Platinum Technologies is a Northern Virginia based integrated solutions firm specializing in Cybersecurity, Cloud and Digital Services to the Public Sector. They are seeking a Data Science & Analytics Technical Lead to provide leadership and technical direction for data science and analytics activities, ensuring the delivery of high-quality analytical products that support various objectives.
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.
Qualifications:
Required:
• 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.
Preferred:
• 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.
Company:
Platinum Technologies provides digital and information technology services to federal, and local governments. Founded in 2020, the company is headquartered in Washington, USA, with a team of 51-200 employees. The company is currently Growth Stage.

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