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

Lead AI and Data Science Engineer II

Tampa, FL ยท On-site

$96K - $127K/yr

Lead AI and Data Science Engineer II Drive the design and delivery of advanced analytics, artificial intelligence (AI), and generative artificial intelligence (GenAI) solutions that inform Talent ...

Data Scientist

Tampa, FL ยท On-site +1

$99K - $225K/yr

On our team, you'll use your analytical skills and data science knowledge to create real-world impact. You'll work closely with your clients to understand their questions and needs, and then dig into ...

DATA SCIENTIST LEAD

Tampa, FL ยท 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 ...

Data Scientist

Tampa, FL ยท On-site

$99K - $225K/yr

On our team, you'll use your analytical skills and data science knowledge to create real-world impact. You'll work closely with your clients to understand their questions and needs, and then dig into ...

Data Scientist

Tampa, FL ยท On-site

$99K - $225K/yr

On our team, you'll use your analytical skills and data science knowledge to create real-world impact. You'll work closely with your clients to understand their questions and needs, and then dig into ...

On our team, you'll use your analytical skills and data science knowledge to create real-world impact. You'll work closely with your clients to understand their questions and needs, and then dig into ...

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 ...

Agentic AI, AI & Data Science Engineer

Tampa, FL ยท On-site

$108K - $129K/yr

Work you'll do As an AI and Data Science Engineer III on the AI & Data team, you will be responsible for driving technology-focused client delivery across complex engagements. Working within an ...

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 ...

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

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

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

Ph.D. in a quantitative discipline (Statistics, Computer Science, Physics, Electrical Engineering ... Advanced experience with data visualization tools (e.g., Tableau, PowerBI, or R/Shiny)

Data Scientist

Tampa, FL ยท On-site

$145K - $165K/yr

D. in a quantitative discipline (Statistics, Computer Science, Physics, Electrical Engineering, etc.). * Experience integrating simulation data into enterprise-level platforms (e.g., Advana, MAVEN ...

Data Scientist

Tampa, FL

$145K - $165K/yr

D. in a quantitative discipline (Statistics, Computer Science, Physics, Electrical Engineering, etc.). * Experience integrating simulation data into enterprise-level platforms (e.g., Advana, MAVEN ...

Data Scientist

Tampa, FL

$145K - $165K/yr

D. in a quantitative discipline (Statistics, Computer Science, Physics, Electrical Engineering, etc.). * Experience integrating simulation data into enterprise-level platforms (e.g., Advana, MAVEN ...

Showing results 21-40

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 Aug 6, 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.

Is a data scientist in high demand?

Yes, 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 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 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 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.

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 most commonly searched types of Data Science jobs in New Port Richey, FL? The most popular types of 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:
Infographic showing various Data Science job openings in New Port Richey, FL as of July 2026, with employment types broken down into 1% As Needed, 81% Full Time, 14% Part Time, 2% Temporary, and 2% 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.

Data Science & Analytics Technical Lead with Security Clearance

Agile Defense

Tampa, FL โ€ข On-site

Other

Posted 9 days ago


Job description


About Agile Defense At Agile Defense we know that action defines the outcome and new challenges require new solutions. Thatโ€™s why we always look to the future and embrace change with an unmovable spirit and the courage to build for what comes next. Our vision is to bring adaptive innovation to support our nation's most important missions through the seamless integration of advanced technologies, elite minds, and unparalleled agilityโ€”leveraging a foundation of speed, flexibility, and ingenuity to strengthen and protect our nationโ€™s vital interests. Requisition #: 1706 Job Title: Data Science & Analytics Technical Lead Location: Tampa, FL Clearance Level: Top Secret / SCI, Must Have Clearance to Start Job Description The contractor shall identify a Data Science & Analytics Technical Lead by name who shall drive the strategic integration of advanced analytics capabilities across the SOF enterprise. This leadership role is centered on applying scientific methods, algorithms, and systems to transform vast quantities of both structured and unstructured data into actionalble insights and essential knowledge for the Head Quarters (HQ) Staff, Service Components, and TSOCs. Job Duties: * Lead the design, development, and deployment of complex machine learning models, statistical analysis, and data mining techniques to solve advanced business problems. * Build and improve predictive models for customer behavior, churn prediction, demand forecasting, and other business-critical areas.  * Conduct advanced exploratory data analysis (EDA) to uncover trends, patterns, and actionable insights from structured and unstructured data sources. * Develop and implement algorithms for classification, regression, clustering, natural language processing (NLP), and recommendation systems. * Collaborate closely with cross-functional teams, including data engineering, product, and business teams, to define data science objectives and translate them into actionable projects. Communicate technical results, findings, and recommendations to stakeholders at all levels, ensuring data-driven strategies are clearly understood and actionable. * Lead efforts in feature engineering, hyperparameter tuning, and model validation to ensure high model accuracy, performance, and robustness. Evaluate and apply cutting-edge machine learning frameworks, tools, and techniques to optimize workflows and drive innovation. * Mentor junior data scientists, providing technical guidance and promoting best practices in data science and machine learning. * Work with data engineers to ensure clean, accurate, and accessible data pipelines, ensuring efficient deployment of data products and models. Education and Background * Typically has a Bachelor's degree in Data Science, Computer Science, Mathematics, Statistics, or a related field (masters degree or PhD strongly preferred)., and 5+ years of experience in data science, machine learning, or a related role, with a track record of leading successful data science projects., or equivalent relevant work experience; e.g., each year of work experience may be substituted for each year of education required. Years of Experience 5+ years Required Skills * The contractor shall identify a Data Science & Analytics Technical Lead by name who shall drive the strategic integration of advanced analytics capabilities across the SOF enterprise. This leadership role is centered on applying scientific methods, algorithms, and systems to transform vast quantities of both structured and unstructured data into actionable insights and essential knowledge for the Head Quarters (HQ) Staff, Service Components, and TSOCs. * Have active active TS/SCI clearance Preferred Skills * Five years of experience working in SOF analytical support * Three years experience centrally managing distributed data support teams in SOF organizations HQ echelon * Three years experience with SOF digital capabilities * Three years experience with SOF HQ elements, SOF Service Components HQs, and SOF Theater Special Operations Command Working Conditions General Office Environment Our Core Values Employees of Agile Defense are our number one priority, and the importance we place on our culture here is fundamental. Our culture is alive and evolving, but it always stays true to its roots. Here, you are valued as a family member, and we believe that we can accomplish great things together. Agile Defense has been highly successful in the past few years due to our employees and the culture we create together.  What makes us Agile? We call it the 6Hs, the values that define our culture and guide everything we do. Together, these values infuse vibrancy, integrity, and a tireless work ethic into advancing the most important national security and critical civilian missions. It's how we show up every day. It's who we are. * Happy - Be Infectious. Happiness multiplies and creates a positive and connected environment where motivation and satisfaction have an outsized effect on everything we do. * Helpful - Be Supportive. Being helpful is the foundation of teamwork, resulting in a supportive atmosphere where collaboration flourishes, and collective success is celebrated. * Honest - Be Trustworthy. Honesty serves as our compass, ensuring transparent communication and ethical conduct, essential to who we are and the complex domains we support. * Humble - Be Grounded. Success is not achieved alone, humility ensures a culture of mutual respect, encouraging open communication, and a willingness to learn from one another and take on any task. * Hungry - Be Eager. Our hunger for excellence drives an insatiable appetite for innovation and continuous improvement, propelling us forward in the face of new and unprecedented challenges. * Hustle - Be Driven. Hustle is reflected in our relentless work ethic, where we are each committed to going above and beyond to advance the mission and achieve success. Equal Opportunity Employer/Protected Veterans/Individuals with Disabilities 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.