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Full Time Science Jobs in Dallas, TX (NOW HIRING)

Stride, Inc.

Computer Science CTE Teacher

Denton, TX · Remote

$49K/yr

Computer Science 8-12 OR Computer Information System Residency Requirements: TEXAS The remote High ... Join us! This is a full-time REMOTE position. Ability to work independently, typically 40+ hours ...

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Full Time Science information

See Dallas, TX salary details

$24.2K

$47.9K

$78.1K

How much do full time science jobs pay per year?

As of Aug 9, 2026, the average yearly pay for full time science in Dallas, TX is $47,870.00, according to ZipRecruiter salary data. Most workers in this role earn between $38,100.00 and $51,400.00 per year, depending on experience, location, and employer.

What is a full-time science job?

A full-time science job typically refers to a professional position in the scientific field where an employee works the standard number of weekly hours, usually around 35-40. These jobs can be found in research, industry, education, healthcare, or government sectors, and may include roles such as laboratory technician, research scientist, science educator, or environmental analyst. Full-time science professionals are usually responsible for conducting experiments, analyzing data, writing reports, and collaborating with teams to advance scientific knowledge or solve practical problems. These positions often require at least a bachelor's degree in a science-related field, and sometimes an advanced degree, depending on the specialization.

What is the difference between Full Time Science vs Part Time Science?

AspectFull Time SciencePart Time Science
Work HoursTypically 35-40 hours per weekFewer hours, often less than 20 hours per week
CredentialsUsually requires a bachelor's or higher in science fieldsSame credentials as full-time, but often for shorter commitments
Work EnvironmentLaboratories, research facilities, or officesSimilar environments, but with flexible scheduling
Employment TypePermanent or long-term employmentTemporary, project-based, or freelance roles

Full Time Science roles involve consistent, long-term employment with regular hours, ideal for those seeking stability. Part Time Science positions offer flexibility and shorter commitments, suitable for students or those balancing other responsibilities. Both roles require similar educational credentials and often share work environments, but differ mainly in hours and employment structure.

What types of projects and collaborations can I expect as a full-time scientist in a research-focused organization?

As a full-time scientist, you'll typically engage in a variety of research projects, either independently or as part of a multidisciplinary team. Collaboration is common, involving regular meetings with colleagues from different scientific backgrounds, and sometimes with external partners such as universities or industry sponsors. You'll likely be responsible for designing experiments, analyzing data, and presenting findings, all while contributing to the overall goals of your department. This collaborative environment fosters knowledge sharing and provides opportunities for professional growth through exposure to diverse perspectives and technologies.

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

To thrive as a full-time scientist, you need a solid background in scientific research, data analysis, and a relevant degree (such as biology, chemistry, or physics). Familiarity with laboratory equipment, statistical software (like R or SPSS), and often advanced certifications or training in specialized techniques are typical requirements. Critical thinking, problem-solving, and effective communication skills help scientists excel in collaborative and innovative environments. These competencies are essential for conducting rigorous research, generating reliable results, and contributing to scientific advancements.
What are the most commonly searched types of Science jobs in Dallas, TX? The most popular types of Science jobs in Dallas, TX are:
What are popular job titles related to Full Time Science jobs in Dallas, TX? For Full Time Science jobs in Dallas, TX, the most frequently searched job titles are:
What job categories do people searching Full Time Science jobs in Dallas, TX look for? The top searched job categories for Full Time Science jobs in Dallas, TX are:
What cities near Dallas, TX are hiring for Full Time Science jobs? Cities near Dallas, TX with the most Full Time Science job openings:
Full Time Science jobs near you
Infographic showing various Full Time Science job openings in Dallas, TX as of August 2026, with employment types broken down into 1% Internship, 1% As Needed, 75% Full Time, 20% Part Time, and 3% Contract. Highlights an 80% Physical, 3% Hybrid, and 17% Remote job distribution, with an average salary of $47,870 per year, or $23 per hour.

Data Scientist / Data Science Specialist

Adidev Technologies Inc

Dallas, TX • On-site

Full-time

Re-posted 19 days ago

Job description

Adidev Technologies Inc 

www.adidevtechnologies.com

URGENT HIRE - HIRING PROCESS - 24-48 HOURS!

Adidev Technologies is seeking 2 yrs of relevant experience in Data Science. A project can last anywhere from 6 months to 18 months. Salary varies depending on experience, and we are in search of candidates looking to start as soon as possible. Excellent written and oral communication are required as is the ability to work well in a team environment.

If you are looking for a new challenge and are ready to make an impact on a growing team, then this will be a perfect fit. As a Data Scientist / Data Analyst / Data Science Specialist for Adidev Technologies Inc., you will be enhancing and debugging large-scale applications for one of our well-known clients.

Adidev Technologies is a growing software consulting company that is constantly expanding. As we are working with renowned clients and ready to take on new ones, we are seeking brilliant software engineers. Not only do we offer a great team to work with, but we also offer you an opportunity to make an immediate impact and get rewarded accordingly

JOB RESPONSIBILITIES

 

  • Perform exploratory data analysis, data verification, and cleaning, robust & reproducible statistical analysis with comprehensive reporting of results.

  • Develop novel ways to help business partners achieve objectives through analysis and modeling

  • Curate and connect external data sets for broad enterprise-wide analytic usage

  • Be a storyteller to explain the 'why and how' of your data-driven recommendations to cross-functional teams

  • Utilize machine learning to create repeatable, dynamic, and scalable models

  • Have a passion to advocate and educate on the value and importance of data-driven decision making and analytical methods

  • Responsible for implementing robust testing strategies leading to model optimizations, program effectiveness, and attribution of marketing mix elements

REQUIRED SKILLS

 

  • Experience designing, managing, developing, and analyzing multiple large complex data models spanning multiple disparate sources

  • Comfortable in basic statistical analysis, modeling, clustering, and data mining techniques to identify trends and insights

  • Proficiency in using query languages, such as SQL, Spark Data Frame API, etc. - an advantage

  • Lead the conception, development, and evaluation of new Deep Learning, Natural Language Processing, and Machine learning products.

  • Knowledge and experience in statistical and data mining techniques: GLM/Regression, Random Forest, Boosting, Trees, text mining, social network analysis, etc.

  • Experience in web technologies and frameworks (TensorFlow, PyTorch, Sci-kit Learn)

  • Familiarity with MLOps frameworks like MLflow.

  • Familiarity with SQL.

  • Some familiarity with AWS Lambda, AWS SageMaker, Jenkins, and Databricks.

  • Hands-on experience with AWS cloud computing services (IAM, EC2, Lambda, S3, DynamoDB, RDS, CloudFormation) for machine learning applications

  • Experience with Python and R, comfortable working with DataFrames

  • Ability to incorporate a variety of data sources in an analysis (HDFS, file, database, JSON, HTML, etc)

  • Experience with technologies used to build analytics dashboards/applications, such as RShiny, Dash, and Streamlit

  • Experience working with version control systems such as Git and SVN

  • Experience writing complex SQL queries

  • Understanding data warehousing and databases is critical

  • Experience with business intelligence/ visualization tools such as Qlik, Tableau or  PowerBI

QUALIFICATIONS

  • ·Degree in Data Science, Computer Science, Engineering, Math, or Statistics preferred

  • At least 2 yrs of relevant experience in Data Science

  • Experience with Python

  • Experience with machine learning, Deep Learning

  • Mathematical and statistical background

  • Experience with Hadoop, Hive, and/or Spark

Benefits

  • Competitive Salary

  • Paid Relocation

  • Remote Support

  • Guaranteed Regular Salary Reviews

  • Job Type: W2 or Contract 1099 (full-time - 40 hours) 

Employment Type: FULL_TIME

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