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Computer Science Data Science Jobs in Citra, FL (NOW HIRING)

Varsity Tutors

High School Science Tutor

Gainesville, FL · Remote

$18 - $40/hr

Ability to explain scientific principles, laboratory techniques, and data analysis methods while preparing students for AP science courses, Regents examinations, and college science prerequisites.

Varsity Tutors

Python Tutor

Gainesville, FL · Remote

$18 - $40/hr

Ability to explain Pythonic programming conventions, decorators, and generators while preparing students for data science, web development, automation, and computer science coursework. * Conceptual ...

Exactech

Senior Principle PM Data Analyst

Gainesville, FL · On-site

$77K - $98K/yr

Bachelor's degree in Biomedical Engineering, Life Sciences, Data Science, Statistics, Engineering, or a related field. Advanced degree preferred. Significant directly relevant experience may offset ...

New

Marion County Public Schools

Science Teacher

Ocala, FL · On-site

$50K - $65K/yr

Computer Skills - Basic understanding and knowledge of use of current technology, as required for the position. Expectations : * Plan activities that offer differentiated learning experiences based ...

University of Florida

OPS Engineer

Gainesville, FL · On-site

$35.92 - $40.71/hr

Computer Science, Artificial Intelligence, Engineering, Physical/Mathematical Sciences Department ... Data analysis to derive meaningful insights. The engineer will collect data from experiments for ...

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All JobsComputer Science Data Science JobsComputer Science Data Science Jobs in Citra, FL

Computer Science Data Science information

See Citra, FL salary details

$31.8K

$104.1K

$166.7K

How much do computer science data science jobs pay per year?

As of Sep 3, 2026, the average yearly pay for computer science data science in Citra, FL is $104,114.00, according to ZipRecruiter salary data. Most workers in this role earn between $83,600.00 and $115,400.00 per year, depending on experience, location, and employer.

Can a computer science data scientist work as a data scientist?

A computer science data scientist can work as a data scientist because both roles involve analyzing data, developing algorithms, and using tools like Python or R. The main difference is that a data scientist often focuses more on statistical analysis and data visualization, while a computer science data scientist may have a stronger background in software development and machine learning. Skills in programming, data manipulation, and understanding of algorithms are essential for both positions.

Is a computer science data science degree good for data science?

A computer science data science degree provides a strong foundation in programming, algorithms, and data analysis, which are essential skills for data science roles. It often includes coursework in machine learning, statistics, and data management, making it well-suited for entry-level and advanced data science positions. Practical experience with tools like Python, R, and SQL can further enhance job prospects in the field.

What job categories do people searching Computer Science Data Science jobs in Citra, FL look for?

The top searched job categories for Computer Science Data Science jobs in Citra, FL are:

What cities near Citra, FL are hiring for Computer Science Data Science jobs?

Cities near Citra, FL with the most Computer Science Data Science job openings:

Computer Science Data Science jobs near you

Data Scientist (Statistician) - Direct Hire

US Department of the Treasury

Gainesville, FL

$125K/yr

Full-time

Posted 6 days ago

U.S. Department Of The Treasury rating

8.2

Company rating: 8.2 out of 10

Based on 13 frontline employees who took The Breakroom Quiz

312th of 855 rated public administrative organizations

Job description

WHAT IS LARGE BUSINESS AND INTERNATIONALDIVISION?
A description of the business units can be found at: https://www.jobs.irs.gov/about/who/business-divisions

  • Position is to be filled in the following area(s):
    • LBI - ADCCI - Assistant Deputy Commissioner Compliance Integration.


REVIEW THE ADDITIONAL INFORMATION BELOW FOR FURTHER DETAILS

Qualifications:Federal experience is not required. Experience may have been gained in the public sector, private sector or through Volunteer Service. One year of experience refers to full-time work; part-timework is considered on a prorated basis. To ensure full credit for your work experience, please indicate dates of employment by month/day/year, and indicate number of hours worked per week, on your resume.
You must meet the following requirements by the closing date of this announcement.
QUALIFICATION REQUIREMENTS: To qualify for this position, you must meet the qualification requirements outlined below:
BASIC REQUIREMENTS (IOR) ALL GRADES:
EDUCATION: A degree that included 15 semester hours in statistics (or in mathematics and statistics, provided at least 6 semester hours were in statistics), and 9 additional semester hours in one or more of the following: physical or biological sciences, medicine, education, or engineering; or in the social sciences including demography, history, economics, social welfare, geography, international relations, social or cultural anthropology, health sociology, political science, public administration, psychology, etc. Credit toward meeting statistical course requirements should be given for courses in which 50 percent of the course content appears to be statistical methods, e.g., courses that included studies in research methods in psychology or economics such as tests and measurements or business cycles, or courses in methods of processing mass statistical data such as tabulating methods or electronic data processing.
OR
COMBINATION OF EDUCATION AND EXPERIENCE: Combination of education and experience includes courses as shown in A above, plus appropriate experience or additional education. The experience should have included a full range of professional statistical work such as (a) sampling, (b) collecting, computing, and analyzing statistical data, and (c) applying statistical techniques such as measurement of central tendency, dispersion, skewness, sampling error, simple and multiple correlation, analysis of variance, and tests of significance.
AND
SPECIALIZED EXPERIENCE GS-14: In addition to meeting basic requirements, to be eligible for this position at this grade level, you must have one (1) year of specialized experience at a level of difficulty and responsibility equivalent to the GS-13 grade level in the Federal service.
Specialized experience for this position includes:
  • Experience identifying and assessing the validity and reliability of relevant data sources and retrieving structured and unstructured data in multiple types and formats, including Extensible Markup Language (XML) files and large datasets, for use in data science projects.
  • Experience cleaning, transforming, combining, and integrating structured and unstructured data from multiple sources, including identifying and resolving missing values, outliers, and duplicate records, to prepare data for analysis.
  • Experience applying data-mining process models, including the Cross-Industry Standard Process for Data Mining (CRISP-DM) or Sample, Explore, Modify, Model, Assess (SEMMA), to collect, prepare, analyze, and evaluate data during data science projects.
  • Experience applying statistical methods, probability, statistical inference, hypothesis testing, experimental design, forecasting, and sampling methods to analyze data, evaluate results, and support program or business decisions.
  • Experience developing and evaluating analytical and artificial intelligence models using machine learning, text analytics, natural language processing, large language models, graph theory, link analysis, optimization models, complex adaptive systems, or deep-learning neural networks.
  • Experience using programming languages, query languages, data-intelligence platforms, and data-storage technologies, including R, Python, Structured Query Language (SQL), Java, Databricks, Sybase, Oracle, or open-source databases, to retrieve, process, query, analyze, and integrate data during data science projects.
  • Experience planning, coordinating, monitoring, and evaluating data science projects; reviewing technical deliverables for validity and reliability; and communicating analytical findings, model results, limitations, conclusions, and recommendations to technical and nontechnical stakeholders through written products, presentations, graphs, tables, charts, or business-intelligence products.

AND
You must also meet the following requirements:
  • MINIMUM AGE REQUIREMENT: Minimum age for federal employment is 18 years old, or at least 16 years old and have:
    • Graduated from high school or been awarded a certificate equivalent to graduating from high school; or
    • Completed a formal vocational training program; or
    • Received a statement from school authorities agreeing with your preference for employment rather than continuing your education

For more information on qualifications please refer to OPM's Qualifications Standards.Education:A college or university degree generally must be from an accredited (or pre-accredited) college or university recognized by the U.S. Department of Education. For a list of schools which meet these criteria, please refer to Department of Education Accreditation page.
FOREIGN EDUCATION: Education completed in foreign colleges or universities may be used to meet the requirements. You must show proof the education credentials have been deemed to be at least equivalent to that gained in conventional U.S. education program. It is your responsibility to provide such evidence when applying. Click here (Section 3, Explanation of Terms) or here for Foreign Education Credentialing instructions.
We recommend choosing an evaluator from a member organization of one of the following national associations of credential evaluation services: National Association of Credential Evaluation Services (NACES) or Association of International Credentials Evaluators (AICE).Employment Type: OTHER

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