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Weekend Data Science Jobs in Irving, TX (NOW HIRING)

Techvilla Solutions

Data Scientist

Dallas, TX · On-site

Required Skills * 10+ years of hands-on experience in Applied Data Science, Analytics Engineering, and Systems Modeling. * 5+ years of client-facing, consulting, or business development experience ...

Techvilla Solutions

Data Scientist

Lancaster, TX · On-site

Required Skills * 10+ years of hands-on experience in Applied Data Science, Analytics Engineering, and Systems Modeling. * 5+ years of client-facing, consulting, or business development experience ...

Techvilla Solutions

Data Scientist

Irving, TX · On-site

Required Skills * 10+ years of hands-on experience in Applied Data Science, Analytics Engineering, and Systems Modeling. * 5+ years of client-facing, consulting, or business development experience ...

Techvilla Solutions

Data Scientist

Richardson, TX · On-site

Required Skills * 10+ years of hands-on experience in Applied Data Science, Analytics Engineering, and Systems Modeling. * 5+ years of client-facing, consulting, or business development experience ...

Techvilla Solutions

Data Scientist

Carrollton, TX · On-site

Required Skills * 10+ years of hands-on experience in Applied Data Science, Analytics Engineering, and Systems Modeling. * 5+ years of client-facing, consulting, or business development experience ...

Techvilla Solutions

Data Scientist

Farmers Branch, TX · On-site

Required Skills * 10+ years of hands-on experience in Applied Data Science, Analytics Engineering, and Systems Modeling. * 5+ years of client-facing, consulting, or business development experience ...

Techvilla Solutions

Data Scientist

Highland Park, TX · On-site

Required Skills * 10+ years of hands-on experience in Applied Data Science, Analytics Engineering, and Systems Modeling. * 5+ years of client-facing, consulting, or business development experience ...

Techvilla Solutions

Data Scientist

Garland, TX · On-site

Required Skills * 10+ years of hands-on experience in Applied Data Science, Analytics Engineering, and Systems Modeling. * 5+ years of client-facing, consulting, or business development experience ...

Texas Instruments

Data Scientist

Dallas, TX · On-site

Build scalable, maintainable data science solutions with clean architecture, disciplined testing, and rigorous version control practices * Design and deploy Agentic AI solutions leveraging emerging ...

Publicis Groupe Holdings B.V

Data Scientist

Plano, TX · On-site

Overview The Data Science team uses data-driven insights and recommendations to fuel strategic growth for clients through building industry-leading analytical solutions. We apply bespoke and cutting ...

Kemper

Data Scientist

Dallas, TX · On-site +1

Data Science is a driver of significant competitive advantage for Kemper and is critical to the organization's success. As a member of the Kemper Auto Data Science team, this position is responsible ...

JCPenney

Data Scientist

Dallas, TX · On-site

$81 - $135/hr

Overview Data Science Planning, Allocation & Inventory Optimization JCPenney Role Purpose The Manager, Data Science - Planning & Allocation is responsible for developing and operationalizing ...

Vytwo

Data Scientist - INDIA

Prosper, TX · On-site

Data Science - Structured Data / Text Data (NLP & GenAI) About the Role We are seeking a highly skilled Data Scientist (3-7 years of experience) to join our team and work across two major data ...

Select Minds LLC

Data Scientist

Dallas, TX · On-site

$65 - $75/hr

Roles & Responsibilities 6+ years of experience in Machine Learning and Data Science. • Strong understanding of Generative AI, Retrieval Augmented Generation, Agentic Workflow, Statistical methods ...

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All JobsData Science JobsWeekend Data Science JobsWeekend Data Science Jobs in Irving, TX

Weekend Data Science information

See Irving, TX salary details

$36K

$117.9K

$188.7K

How much do weekend data science jobs pay per year?

As of Aug 18, 2026, the average yearly pay for weekend data science in Irving, TX is $117,859.00, according to ZipRecruiter salary data. Most workers in this role earn between $94,600.00 and $130,600.00 per year, depending on experience, location, and employer.

What is a weekend data science?

A Weekend Data Science job typically refers to a part-time or contract-based data science position where the primary work hours are on weekends. These roles are ideal for students, professionals seeking extra income, or those looking to gain experience in the data science field without committing to a full-time weekday schedule. Weekend data scientists analyze data, build models, and generate insights just like full-time data scientists but with flexible or reduced hours that fit around a weekend schedule.

What skills and qualifications are needed to thrive as a weekend data scientist?

To thrive as a Weekend Data Scientist, you need strong analytical skills, proficiency in statistics, and expertise in programming languages such as Python or R, often supported by a degree in a quantitative field. Familiarity with data analysis tools like SQL, machine learning libraries (e.g., scikit-learn, TensorFlow), and data visualization platforms (e.g., Tableau) is typically required. Excellent time management, problem-solving ability, and effective communication are crucial soft skills for delivering insights on tight weekend deadlines. These skills ensure that data-driven decisions can be made efficiently and accurately, even within limited time frames.

What challenges do data scientists working on weekends face, and how can they be managed?

Data scientists working weekend shifts often encounter challenges such as limited access to colleagues for collaboration or support, since many team members may not be available outside standard business hours. Additionally, urgent issues or data anomalies may require quick, independent problem-solving. Proactive communication with weekday teams, thorough documentation, and setting up clear protocols for handoffs can help manage these challenges and ensure smooth workflow continuity.

What is the difference between Weekend Data Science vs Part-Time Data Analyst?

AspectWeekend Data SciencePart-Time Data Analyst
CredentialsTypically requires a degree in data science, statistics, or related fieldOften requires a degree or relevant experience in data analysis or related fields
Work EnvironmentProject-based, flexible hours, often remote or on-site during weekendsFlexible hours, may be remote or on-site, often with less technical complexity
Industry UsageUsed in tech, finance, healthcare, and startups for specialized projectsCommon in retail, marketing, and small businesses for routine data tasks

Weekend Data Science roles focus on complex data projects requiring advanced skills, often during weekends, while Part-Time Data Analysts handle routine data tasks with less technical depth, offering flexible schedules. Both roles serve different needs but share a focus on data work outside standard hours.

Do weekend data scientists work on weekends?

Weekend data scientists may work on weekends depending on project deadlines, company policies, or client needs. Typically, data science roles involve regular weekday hours, but some positions require weekend work, especially in roles with flexible or project-based schedules. It is important to clarify work hours during the hiring process or in job descriptions.

What are the most commonly searched types of Data Science jobs in Irving, TX?

The most popular types of Data Science jobs in Irving, TX are:

What are popular job titles related to Weekend Data Science jobs in Irving, TX?

For Weekend Data Science jobs in Irving, TX, the most frequently searched job titles are:

What job categories do people searching Weekend Data Science jobs in Irving, TX look for?

The top searched job categories for Weekend Data Science jobs in Irving, TX are:

What cities near Irving, TX are hiring for Weekend Data Science jobs?

Cities near Irving, TX with the most Weekend Data Science job openings:

Weekend Data Science jobs near you
Infographic showing various Weekend Data Science job openings in Irving, TX as of June 2026, with employment types broken down into 1% As Needed, 64% Full Time, 25% Part Time, 1% Temporary, 8% Contract, and 1% Nights. Highlights an 90% Physical, 2% Hybrid, and 8% Remote job distribution, with an average salary of $117,859 per year, or $56.7 per hour.

Data Scientist

Techvilla Solutions

Dallas, TX • On-site

Full-time

This job post has expired today. Applications are no longer accepted.

Job description

Required Skills
  • 10+ years of hands-on experience in Applied Data Science, Analytics Engineering, and Systems Modeling.
  • 5+ years of client-facing, consulting, or business development experience delivering analytics solutions.
  • Expertise in statistical modeling, machine learning, and predictive analytics.
  • Strong proficiency with Python, scikit-learn, statsmodels, PyTorch, and TensorFlow.
  • Experience in time-series forecasting, causal inference, feature engineering, and advanced data sampling/resampling techniques.
  • Strong expertise in geospatial analytics and LiDAR data processing.
  • Hands-on experience with ArcGIS, PostGIS, GeoPandas, GDAL/OGR, PDAL, and related geospatial libraries.
  • Experience working with vector, raster, point-cloud, and sensor datasets.
  • Excellent analytical, communication, and stakeholder management skills.
Roles & Responsibilities
  • Design and develop advanced machine learning and statistical models to solve complex business problems.
  • Build predictive models, time-series forecasting solutions, and causal inference frameworks.
  • Perform feature engineering, data preparation, and advanced sampling techniques for large-scale datasets.
  • Develop geospatial analytics and LiDAR processing solutions using industry-standard tools and libraries.
  • Analyze vector, raster, point-cloud, and sensor data to generate actionable insights.
  • Partner with business stakeholders to scope, design, and deliver data science solutions.
  • Present analytical findings and recommendations to technical and business audiences.
  • Optimize model performance, scalability, and deployment in production environments.
  • Mentor data scientists and promote best practices in analytics and machine learning.
  • Support innovation initiatives through advanced analytics and AI-driven solutions.

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