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Data Science Jobs in New Port Richey, FL (NOW HIRING)

Pwc

AIT - AI Data Scientist Manager

Tampa, FL

$99K - $297K/yr

Industry/Sector Not Applicable Specialism Data Science Management Level Manager & Summary The Opportunity As an AI Data Scientist Manager, you will play a pivotal role within our Data and Analytics ...

PwC South Africa

AIT - AI Data Scientist Manager

Tampa, FL · On-site

$120 - $210/hr

Leading data science initiatives to transform raw data into actionable insights for informed decision-making * Guiding teams in the application of advanced analytics and statistical techniques to ...

Socket.dev

Data Scientist

Tampa, FL · On-site

$110 - $170/hr

A minimum of 1 year of hands-on Data Science experience is required. * Bachelor's Degree in a STEM field is required. * Proficient with one or more programming languages (Java, C++, Python, R, etc.

JPMorgan Chase & Co.

Data Scientist Lead

Tampa, FL · On-site

$170 - $230/hr

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 ...

Core One

Data Scientist

Tampa, FL · On-site

Provide data science (DS) and operations research (OR) capabilities on-site for a combatant command Operation Assessment Division. Design, develop, and apply a variety of data collection and decision ...

Core One

Data Scientist

Tampa, FL · On-site

Provide data science (DS) and operations research (OR) capabilities on-site for a combatant command Operation Assessment Division. Design, develop, and apply a variety of data collection and decision ...

Elevance Health

Data Scientist

Tampa, FL · Hybrid

Developing and maintaining data science models, detection analytics, and behavioral algorithms for cybersecurity use cases. * Performing proactive threat hunting activities using large-scale ...

Endurion

Data Scientist

Tampa, FL · On-site

$100 - $150/hr

Expert Python developer using many different machine learning and data science frameworks including TensorFlow, PyTorch, Keras, Ray, RLLib, numpy/scipy, scikit-learn, Caffe, pandas, PyMC3, and ...

Endurion

Data Scientist

Tampa, FL · On-site

Expert Python developer using many different machine learning and data science frameworks including TensorFlow, PyTorch, Keras, Ray, RLLib, numpy/scipy, scikit-learn, Caffe, pandas, PyMC3, and ...

Pwc

AIT - AI Data Scientist Senior Associate

Tampa, FL · On-site

$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 ...

Humana

Senior Data Scientist

Tampa, FL · Hybrid

Execution of data science initiatives, including design, development, and implementation. * Collaborate with data scientists, date engineers, software engineers, and stakeholders to deliver high ...

Humana

Senior Data Scientist

Tampa, FL · Hybrid

Execution of data science initiatives, including design, development, and implementation. * Collaborate with data scientists, date engineers, software engineers, and stakeholders to deliver high ...

Humana

Senior Data Scientist

Tampa, FL · Hybrid

Execution of data science initiatives, including design, development, and implementation. * Collaborate with data scientists, date engineers, software engineers, and stakeholders to deliver high ...

Agile Defense

Data Scientist

Tampa, FL · On-site

... science, machine learning engineering, or data pipeline development. * Proficient in Python, SQL, and distributed data frameworks (e.g., Spark, Databricks, PySpark Preferred Skills * Experience ...

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All JobsData Science JobsData Science Jobs in New Port Richey, FL

Data Science information

See New Port Richey, FL salary details

$33.4K

$109.3K

$175K

How much do data science jobs pay per year?

As of Sep 5, 2026, the average yearly pay for data science 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 is data science?

Data science is an interdisciplinary field that uses scientific methods, algorithms, and systems to extract insights and knowledge from structured and unstructured data. It combines skills from statistics, computer science, and domain expertise to analyze and interpret complex data sets. Data scientists work with large amounts of data to identify patterns, make predictions, and help organizations make data-driven decisions.

What does a data scientist do?

As a Data Scientist, you are qualified to work in such diverse fields as research and development, politics, advertising and marketing, technology, healthcare, government, and higher education as well as multiple others. In general, your duties and responsibilities will be to compile and analyze relevant statistics and turn those numbers into algorithms that reveal insights that can be used by other researchers in their areas of study. Data Science can reveal things like consumer buying habits or the likelihood of success for a course of action. Other duties might vary, depending on your unique field of specialty. Related areas in which a Data Scientist might wish to focus include work as a Data Analyst, Machine Learning Engineer, and Project Manager.

What are the key skills and qualifications needed to thrive as a data scientist, and why are they important?

To thrive as a Data Scientist, you need a strong background in statistics, programming (often Python or R), and data analysis, usually supported by a degree in a quantitative field. Familiarity with machine learning libraries (like scikit-learn or TensorFlow), big data tools (such as Hadoop or Spark), and data visualization platforms is typically required. Critical thinking, problem-solving, and effective communication are vital soft skills for translating complex data insights into actionable business strategies. These skills and qualities are essential for extracting value from data, driving informed decisions, and effectively collaborating with multidisciplinary teams.

What are some common challenges faced by data scientists when working with real-world datasets?

Data scientists often encounter challenges such as missing or inconsistent data, unstructured formats, and noisy information in real-world datasets. Cleaning and preprocessing data to ensure its quality can be time-consuming but is critical for building accurate models. Additionally, data scientists may work closely with domain experts and other team members to better understand the data's context and ensure their analyses align with business objectives. Overcoming these challenges requires strong problem-solving skills and effective collaboration within cross-functional teams.

What is the difference between Data Science vs Data Analyst?

AspectData ScienceData Analyst
Required skillsStatistics, programming (Python, R), machine learningData visualization, SQL, basic statistics
Work environmentDeveloping models, predictive analytics, researchReporting, data cleaning, descriptive analysis
Tools usedPython, R, Jupyter, TensorFlowExcel, SQL, Tableau, Power BI
Industry usageTech, finance, healthcare, e-commerceRetail, marketing, finance, healthcare

Data Science and Data Analyst roles often overlap but differ mainly in scope. Data Scientists focus on building predictive models and advanced analytics, requiring programming and machine learning skills. Data Analysts primarily handle data cleaning, reporting, and visualization. Both roles are essential in data-driven industries, but Data Science is more technical and research-oriented, while Data Analysis emphasizes interpreting data for business insights.

Is a data scientist in high demand?

Data scientists are in high demand across many industries due to the increasing reliance on data-driven decision making. The role requires skills in programming, statistics, and machine learning, and job growth is expected to continue as organizations expand their data capabilities.

What jobs can a data scientist do?

A data scientist can work in roles such as data analyst, machine learning engineer, data engineer, or business intelligence analyst. These roles involve analyzing large datasets, developing predictive models, and using tools like Python, R, and SQL to support decision-making across various industries.
More about Data Science jobs

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The most popular types of Data Science jobs in New Port Richey, FL are:

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For Data Science jobs in New Port Richey, FL, the most frequently searched job titles are:

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The top searched job categories for Data Science jobs in New Port Richey, FL are:

What cities near New Port Richey, FL are hiring for Data Science jobs?

Cities near New Port Richey, FL with the most Data Science job openings:

Data Science jobs near you
Infographic showing various Data Science job openings in New Port Richey, FL as of August 2026, with employment types broken down into 1% As Needed, 81% Full Time, 15% Part Time, and 3% Contract. Highlights an 86% Physical, 3% Hybrid, and 11% Remote job distribution, with an average salary of $109,322 per year, or $52.6 per hour.

AIT - AI Data Scientist Manager

Pwc

Tampa, FL

$99K - $297K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Re-posted 29 days ago

PwC rating

8.3

Company rating: 8.3 out of 10

Based on 77 frontline employees who took The Breakroom Quiz

26th of 72 rated business consultants

Job description

Industry/Sector

Not Applicable

Specialism

Data Science

Management Level

Manager

Job Description & Summary

The Opportunity
As an AI Data Scientist Manager, you will play a pivotal role within our Data and Analytics Engineering practice, focusing on transforming raw data into actionable insights that drive business growth. You will leverage advanced analytics and statistical techniques to extract insights from large datasets, enabling informed decision-making and solving complex business problems. As a Manager, you will enhance your leadership style by motivating, developing, and inspiring your team to deliver quality results. You will be responsible for coaching and managing performance to meet client expectations, while embracing technology and innovation to improve delivery.
In this role at PwC, you will take ownership of projects, confirming their successful planning, budgeting, execution, and completion. You will analyze and identify the interactions within complex systems, partnering with team leadership to maintain quality and timelines. Your growing business knowledge will help identify opportunities that contribute to the firm's success. You are expected to lead with integrity and authenticity, articulating our purpose and values meaningfully. This position offers a chance to develop skills outside your comfort zone and encourage others to do the same, fostering a culture of continuous improvement and innovation.
Responsibilities
- Leading data science initiatives to transform raw data into actionable insights for informed decision-making
- Guiding teams in the application of advanced analytics and statistical techniques to solve complex business problems
- Developing and implementing data models and algorithms to enhance predictive capabilities
- Overseeing the creation and maintenance of data pipelines and data lakes to support large-scale data processing
- Utilizing machine learning and deep learning techniques to drive innovation and improve data-driven strategies
- Collaborating with stakeholders to identify opportunities for leveraging data to drive business growth
- Coaching team members to enhance their skills in data science workflows and troubleshooting
- Validating data quality and integrity within analytics frameworks to support reliable insights
- Encouraging the adoption of innovative technologies and methodologies in data science projects
- Managing project timelines and deliverables to align with client expectations and business objectives
What You Must Have
- At least a Bachelor's degree
- At least 4 years of experience
What Sets You Apart
- Preference for at least one of the following fields of study: Accounting, Analytics/Data Science, Artificial Intelligence/Robotics, Business Administration/Management, Computer Science/Information Systems, Cybersecurity, Engineering, Mathematics/Statistics, Operations/Supply Chain, Project/Technology Management, Risk Management/Insurance

- Applies statistical analysis, machine learning, data preparation, experimentation, and model evaluation techniques to develop and validate AI/ML solutions
- Utilizing Python, data science libraries, model validation methods, and modern AI/ML approaches, including generative AI where relevant, to communicate actionable insights to business and technical stakeholders
- Demonstrating proficiency in data science algorithms and workflows
- Utilizing machine learning and deep learning techniques effectively
- Excelling in complex data analysis and predictive modeling
- Managing data pipelines and confirming data quality
- Leveraging programming languages for data engineering tasks
- Embracing change and fostering innovation in data science projects

Travel Requirements

Up to 20%

Job Posting End Date

The salary range for this position is: $99,000 - $252,450. For residents of Washington state the salary range for this position is: $99,000 - $297,000. Actual compensation within the range will be dependent upon the individual's skills, experience, qualifications and location, and applicable employment laws. All hired individuals are eligible for an annual discretionary bonus. PwC offers a wide range of benefits, including medical, dental, vision, 401k, holiday pay, vacation, personal and family sick leave, and more. To view our benefits at a glance, please visit the following link: https://pwc.to/benefits-at-a-glanceAs PwC is anequal opportunity employer, all qualified applicants will receive consideration for employment at PwC without regard to race; color; religion; national origin; sex (including pregnancy, sexual orientation, and gender identity); age; disability; genetic information (including family medical history); veteran, marital, or citizenship status; or, any other status protected by law.PwC does not intend to hire experienced or entry level job seekers who will need, now or in the future, PwC sponsorship through the H-1B lottery, except as set forth within the following policy: https://pwc.to/H-1B-Lottery-Policy.Learn more about how we work: https://pwc.to/how-we-workFor only those qualified applicants that are impacted by the Los Angeles County Fair Chance Ordinance for Employers, the Los Angeles' Fair Chance Initiative for Hiring Ordinance, the San Francisco Fair Chance Ordinance, San Diego County Fair Chance Ordinance, and the California Fair Chance Act, where applicable, arrest or conviction records will be considered for Employment in accordance with these laws. At PwC, we recognize that conviction records may have a direct, adverse, and negative relationship to responsibilities such as accessing sensitive company or customer information, handling proprietary assets, or collaborating closely with team members. We evaluate these factors thoughtfully to establish a secure and trusted workplace for all.

What PwC employees say

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Benefits

Hours and flexibility

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About pwc

Sourced by ZipRecruiter

We know that the future success of our firm is contingent on equitable experiences for our people. From recruitment to partnership, we’re working hard to give every person an equitable opportunity to grow and to thrive as part of our community of solvers. We understand that establishing and maintaining a fair, equitable and welcoming environment for all people requires building a culture of belonging: a shift from awareness to empathy — while demonstrating inclusive leadership that cultivates trust among our people and our clients. PwC is committed to advancing diversity, equity and inclusion (DEI) through an evidence-based strategy designed to achieve well-defined and meaningful aspirational goals. Our aim is to solve problems for the long term, as that is how we build trust and continue to build on our culture of belonging. At the core of this endeavor are stated goals and a series of linked programs enabling targeted interventions at key moments in our employees’ career trajectories.

Industry

Finance and insurance

Company size

10,000+ Employees

Headquarters location

London, London, UK

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