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Full Time Remote Data Scientist Jobs in Texas (NOW HIRING)

As a Data Scientist/Data Science Specialist for Adidev Technologies Inc., you will be enhancing and ... Remote Support * Guaranteed Regular Salary Reviews * Job Type: W2 or Contract 1099 (full-time - 40 ...

About the Data Scientist position We are looking for a skilled Data Scientist who will help us ... Citizen Employment Type: FULL_TIME

Lead Data Scientist

Frisco, TX · On-site +1

$144K - $250K/yr

Normal office environment. (Remote or Hybrid), 3 to 4 days per month are required in office if ... You must be work authorized in the United States on a full time basis without the need for any ...

Data Science is a driver of significant competitive advantage for Kemper and is critical to the ... Remote options are available for non-local candidate. * The range for this position is $93,300 to ...

... and remote work on Fridays Who we're looking for: Toyota Financial Services is seeking highly ... Experience working in Data Science outside of a degree-seeking academic program. What we'll bring ...

While this position is open to remote candidates across the U.S., we will prioritize those who live ... Full-time, U.S.benefits include: Medical, dental, and vision coverage Life insurance, disability ...

Sr/Staff Data Scientist (Remote - US)

TX · On-site +1

$165K - $300K/yr

This is a full-time remote position. Employees may work from anywhere within the contiguous 48 ... Apply data science skills to analyze large, complex datasets and identify meaningful patterns that ...

... Remote Your Role ... This Data Scientist role offers the opportunity to help CSAA Insurance Group anticipate and prepare ...

Sr Data Scientist GenAI

Dallas, TX · On-site +1

$150K - $210K/yr

Opportunity for advancement Sr Data Scientist (NLP / LLM / Generative AI) Location: Dallas, TX ... This position is temporarily remote. Compensation: $150,000.00 - $210,000.00 per year About Us We ...

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Full Time Remote Data Scientist information

What is a full time remote data scientist?

A Full Time Remote Data Scientist is a professional who analyzes large and complex datasets to extract insights and build predictive models, while working remotely from a location outside of the traditional office. They use statistical techniques, machine learning, and programming skills to solve business problems and support decision-making. Working full time means they typically adhere to a standard workweek, collaborating virtually with team members and stakeholders. Remote data scientists often use online tools for communication, data access, and code sharing, allowing them to contribute effectively from anywhere with a reliable internet connection.

What are the key skills and qualifications needed to thrive as a full time remote data scientist?

To thrive as a Full Time Remote Data Scientist, you need expertise in statistics, machine learning, and data analysis, usually supported by a degree in a quantitative field. Proficiency with programming languages like Python or R, data visualization tools, and platforms such as SQL, TensorFlow, or cloud services is typically required. Strong problem-solving, communication skills, and self-motivation are essential soft skills for remote collaboration and project delivery. These skills and qualities are crucial for extracting actionable insights from data and effectively contributing to distributed teams.

How do remote data scientists typically collaborate with team members and stakeholders across different locations?

Remote data scientists often work closely with cross-functional teams, including engineers, product managers, and business analysts, using digital collaboration tools such as Slack, Zoom, and project management platforms like Jira or Asana. Regular virtual meetings, code reviews, and shared documentation help ensure alignment and transparency, even across time zones. Clear communication, proactive status updates, and well-documented code are essential for successful teamwork in a remote setting. Additionally, many organizations foster connection through virtual stand-ups and team-building activities to maintain a strong, cooperative work culture.

What is the difference between Full Time Remote Data Scientist vs Full Time Remote Data Analyst?

AspectFull Time Remote Data ScientistFull Time Remote Data Analyst
Required CredentialsDegree in Data Science, Statistics, or related field; often certifications in machine learning or data analysisDegree in Statistics, Mathematics, or related field; certifications in data analysis tools
Work EnvironmentCollaborates with data engineers, scientists, and product teams; focuses on modeling and predictive analyticsWorks with business teams; focuses on data reporting, visualization, and descriptive analytics
Industry UsageUsed across tech, finance, healthcare, and e-commerce industriesCommon in retail, marketing, finance, and healthcare sectors

Full Time Remote Data Scientists typically handle complex modeling and predictive tasks, requiring advanced skills and certifications, while Data Analysts focus on interpreting data and creating reports. Both roles are remote-friendly and essential across various industries, but their core responsibilities differ significantly.

What are the most commonly searched types of Remote Data Scientist jobs in Texas?

The most popular types of Remote Data Scientist jobs in Texas are:

What are popular job titles related to Full Time Remote Data Scientist jobs in Texas?

For Full Time Remote Data Scientist jobs in Texas, the most frequently searched job titles are:

What cities in Texas are hiring for Full Time Remote Data Scientist jobs?

Cities in Texas with the most Full Time Remote Data Scientist job openings:

Infographic showing various Full Time Remote Data Scientist job openings in Texas as of August 2026, with employment types broken down into 1% As Needed, 86% Full Time, 10% Part Time, and 3% Contract. Highlights an 86% Physical, 4% Hybrid, and 10% Remote job distribution.

Full-time

Re-posted 26 days ago


Job description

Adidev Technologies Inc 

www.adidevtechnologies.com

URGENT HIRE - HIRING PROCESS - 24-48 HOURS!

Adidev Technologies is seeking 1-2 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 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 Description

  • Demonstrated experience using machine learning, deep learning, statistical methodology, and simulation/optimization modeling in geospatial, network topography, recommendation systems, environmental systems, and/or agronomic problems.
  • Strong foundation in Python programming in a cloud environment.
  • Strong quantitative abilities, distinctive problem-solving, and excellent analysis skills
  • Expertise in data wrangling using SQL,
  • Practical knowledge and experience with cloud-computing systems and platforms, including the routine deployment of pipelines through Kubernetes
  • Fluency in querying/extracting/aggregating data via SQL scripting.
  • Extract, load and transform data (ETL) from structured and unstructured sources
  • Apply Natural Language Processing and Computer Vision to solve business use cases,
  • Strong skills in scientific data analyses, modeling, visualization and communication of results.
  • Knowledge of Python libraries (NumPy, Pandas, SciKit-Learn, TensorFlow, PyTorch), Spacy, MongoDB, PostgreSQL, Flask, streamlet and a good knowledge of data pipelines construction
  • Ph.D., M.S. or B.S. in Computer Science, Computational Physics, Operations Research, Geospatial Sciences, Remote Sensing Science, Environmental Sciences, Computational Astronomy or related scientific discipline


Must  have 

  • Understanding of various machine learning algorithms (e.g. SVM, Random Forests, Gradient Boosting, Log-Log regression, XGBoost, Lasso, Ridge, Clustering techniques, Neural Networks and others)
  • Regression (e.g. ? Linear/Logistic/MNL/Mixed Effects/Regularization)
  • Classification (K-means, Hierarchical, Latent Class, DBScan, SVM)
  • Dimension Reduction techniques (Principal Component analysis, Singular Value Decomposition etc.)
  • Optimization (Linear programming, Stochastic Gradient Descent, Genetic Algorithm etc.)
  • Experience with neural network approaches to text classification CNN, RNN, LSTM,Keras
  • Machine Learning algorithms? Neural Networks, Naïve Bayes, Bagging & Boosting, Random Forest
  • Distributed computing tools and cloud technology (AWS)

QUALIFICATIONS

  • Degree in Data Science, Computer Science, Engineering, Math, or Statistics preferred
  • At least 2 yrs of relevant experience in Data Science


SKILLS

  • SQL, statistical modeling, Feature engineering, Data visualization, Deploying models to production, Python programming, AWS, Domains(Healthcare/ Manufacturing/ Marketing/ Financial/ Telecommunication), powerbi/tableau, data warehouse

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