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

Worth AI

Data Platform Engineer

Tampa, FL · Remote

$117K - $140K/yr

You'll own end-to-end data pipelines and API services that ingest, process, and expose high-quality data to internal customers (data science, analytics, product, and other engineering teams) and ...

Worth AI

Data Platform Engineer

Tampa, FL · On-site +1

$108K - $129K/yr

You'll own end-to-end data pipelines and API services that ingest, process, and expose high-quality data to internal customers (data science, analytics, product, and other engineering teams) and ...

Programmers.io

Data Analyst

Tampa, FL · On-site

The role involves designing, building, and optimizing scalable data pipelines, enabling analytics and AI use cases, and collaborating closely with data science and business teams in large scale ...

Pwc

AIT - AI Data Scientist Senior Associate

Tampa, FL

$72K - $212K/yr

Industry/Sector Not Applicable Specialism Data Science Management Level Senior Associate & Summary The Opportunity As an AI Data Scientist Senior Associate, you will leverage advanced analytics and ...

UAB

DATA SCIENTIST LEAD

Tampa, FL · On-site

$104K - $169K/yr

Performs statistical analysis to build Artificial Intelligence tools that automate certain processes within the unit and implement data science algorithms (e.g. regression, classification and ...

JP Morgan Chase

Data Scientist Lead

Tampa, FL · On-site

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 ...

JPMorgan Chase & Co

Data Scientist Lead

Tampa, FL

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 ...

JPMorgan Chase & Co.

Data Scientist Lead

Tampa, FL · On-site

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 ...

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Showing results 41-60

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 Aug 23, 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 is 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 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 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 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 can I do with data science and analytics?

Data science and analytics professionals analyze large datasets to extract insights, support decision-making, and improve business processes. They use tools like Python, R, and SQL, and often work in environments that require strong statistical and programming skills. These roles can lead to careers in industries such as finance, healthcare, marketing, and technology, with opportunities for advancement and specialization.

What jobs can I get with a data science and analytics degree?

A degree in data science and analytics can lead to roles such as data analyst, data scientist, business intelligence analyst, machine learning engineer, and data engineer. These positions typically require skills in programming languages like Python or R, data visualization tools, and statistical analysis, often with certifications or experience in big data platforms and SQL. Job responsibilities include interpreting complex data, building predictive models, and supporting data-driven decision-making.

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 August 2026, with employment types broken down into 1% As Needed, 84% Full Time, 12% Part Time, and 3% Contract. Highlights an 86% Physical, 4% Hybrid, and 10% Remote job distribution, with an average salary of $106,650 per year, or $51.3 per hour.

Data Scientist (AI/ML Engineer)

Apex Informatics

Tampa, FL • On-site

Contractor

Re-posted 7 days ago

Job description

Data Scientist (AI/ML Engineer)
Required Skills:
• 5+ years of experience in Python using common data science libraries such as scikit-learn and Databricks
• 3+ years of experience applying NLP (transformers, gpt, etc) in a production setting using large amounts of data
• 2-3 years of experience applying LLMs (RAG, vector db, embeddings) to solve real world problems
• Experience applying data science techniques in a commercial enterprise, including supervised, unsupervised learning, NLP, time-series forecasting and other statistical analyses
• Experience building APIs for the models
• Strong written & verbal communication skills; including the ability to present detailed analyses to a broad audience
• Organized self-starter, with drive and commitment; able to work with little supervision
• Strong analytical, quantitative, problem-solving, and critical thinking skills
• Nice-to-Have:
• Experience using vision and speech models in GenAI
• Experience with Voice based BOT implementation.

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