ZipRecruiter

Log In

1

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

TBK Bank, SSB

Director of Data Science

Dallas, TX · On-site

Director of Data Science Position Summary We are seeking a Director of Data Science to design, build, and operationalize quantitative models that power both internal and customer-facing intelligence ...

TBK Bank, SSB

Director of Data Science

Dallas, TX · On-site

Director of Data Science Position Summary We are seeking a Director of Data Science to design, build, and operationalize quantitative models that power both internal and customer-facing intelligence ...

Triumph Financial

Director of Data Science

Dallas, TX · On-site

Director of Data Science Position Summary We are seeking a Director of Data Science to design, build, and operationalize quantitative models that power both internal and customer-facing intelligence ...

YO AI Labs

AI Data Science Expert - Remote

Dallas, TX · Remote

$100 - $200/hr

AI Data Science Domain Expert Job Type: Contractor (Part-Time) Location: Remote Job Overview We are seeking experienced AI Data Science Domain Experts to contribute their expertise to an innovative ...

Alcon

Senior Associate Data Science

Fort Worth, TX · On-site

As a Senior Associate, Data Science , you will be part of Alcon's Analytics & Intelligence function , focused on leveraging advanced analytics to transform the eye care industry. This is an onsite ...

Dlapiper

Data Scientist

Dallas, TX · On-site +1

Prioritizes, scopes and manages data science projects for internal stakeholders and clients. * Mines and analyzes data to drive optimization and improvement of product development, marketing ...

Apex Informatics

Data Scientist

Irving, TX · On-site

Duration: 6-12 months Detail Bachelor's degree in Computer Science, Statistics, Data Science, or a related field. Master's degree or higher preferred. Minimum 10 years of professional experience as a ...

ADT

Data Scientist Principal

Irving, TX · On-site

Lead complex data science projects from conception to completion, working with large and diverse datasets. * Apply advanced statistical and machine learning techniques to build predictive models ...

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 ...

ADT

Data Scientist

Irving, TX · On-site

This role bridges the gap between advanced data science and strategic marketing operations, working with stakeholders to solve critical business problems like predicting high-value customer ...

ADT Security Services

Data Scientist

Irving, TX · Remote

This role bridges the gap between advanced data science and strategic marketing operations, working with stakeholders to solve critical business problems like predicting high-value customer ...

Vanguard

Data Scientist, Specialist

Dallas, TX · On-site

The system combines advanced data science, behavioral science, marketing analytics, and generative AI techniques to build trusted digital representations of client segments and journeys. This role is ...

Vangard, Inc.

Data Scientist, Specialist

Dallas, TX · On-site

Apply behavioral science, customer research, UX insights, and marketing analytics to develop and ... Develop and optimize LLM, RAG, and agentic AI solutions, including data preparation, evaluation ...

Kemper

Senior Data Scientist

Dallas, TX · On-site

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 ...

next page

Showing results 1-20

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

Weekend Data Science information

See Justin, TX salary details

$44.3K

$145K

$232.1K

How much do weekend data science jobs pay per year?

As of Sep 13, 2026, the average yearly pay for weekend data science in Justin, TX is $144,951.00, according to ZipRecruiter salary data. Most workers in this role earn between $116,300.00 and $160,600.00 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 Justin, TX?

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

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

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

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

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

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

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

Weekend Data Science jobs near you

Director of Data Science

Dallas, TX • On-site

TBK Bank, SSB
1 - 5K employees
Learn more about TBK Bank, SSBexternal

Full-time

Medical, Dental, Vision, Retirement, PTO

Re-posted 11 hours ago

Job description

Join Triumph!
At Triumph, our vision is a world where freight transactions are accurate and seamless on the most modern and secure freight transaction network. That's why we're looking for passionate, innovative, solutions-oriented people to join our team. We thrive on providing exceptional customer service and we look for team members with an entrepreneurial spirit and a passion to build successful partnerships with our clients. Because at the end of the day our goal is to help our partners businesses run better.
Director of Data Science
Position Summary
We are seeking a Director of Data Science to design, build, and operationalize quantitative models that power both internal and customer-facing intelligence solutions. This role focuses on developing forecasting, optimization, and signal-based models that translate largescale transportation data into trusted insights for carriers, brokers, and shippers. In addition to hands-on technical leadership, this role may include managing data science talent and helping to scale the function over time as organizational needs evolve. The ideal candidate brings strong statistical rigor, experience working with real-world operational data, and a product-oriented mindset for deploying models that influence commercial and operational decisions across transportation networks.
Key Responsibilities
  • Develop and maintain forecasting and predictive models supporting transportation use cases such as pricing, demand forecasting, capacity trends, service performance, and network dynamics.
  • Build and scale the data science function, including hiring, onboarding, and managing direct reports as business needs evolve. Design and execute statistical modeling and experimentation, including hypothesis testing, A/B testing, and causal analysis to evaluate market and operational changes.
  • Build optimization and decision support models that inform routing, capacity allocation, pricing strategy, and operational trade-offs.
  • Lead signal development for transportation intelligence products, transforming raw transactional and network data into scalable, reliable indicators and indices.
  • Establish and lead model validation, performance monitoring, and governance frameworks to ensure stability, accuracy, and trustworthiness of production models.
  • Partner closely with product, analytics, and engineering teams to translate transportation domain needs into analytically sound, production ready models.
  • Document methodologies, assumptions, and limitations to support transparency, internal review, and customer facing confidence in intelligence outputs.
  • Continuously evaluate new data sources, modeling approaches, and techniques relevant to transportation, logistics, and network-based intelligence.

Required Qualifications
  • A Master's degree in Data Science, Statistics, Mathematics, Economics, Computer Science, or another relevant quantitative discipline is required.
  • 5-7 years of professional experience in data science, applied statistics, or quantitative analytics.
  • Strong experience with forecasting, predictive modeling, and statistical analysis in applied business contexts.
  • Demonstrated ability to build models that support decision making, optimization, or market intelligence.
  • Strong Python and SQL skills and experience working with large, complex datasets.
  • Experience validating models and monitoring performance in production environments. Direct experience with model governance frameworks.
  • Ability to clearly communicate quantitative insights to both technical and non-technical stakeholders.

Preferred Qualifications
  • Experience working with transportation, logistics, supply chain, or network-based data.
  • Strong expertise in
    • Regression & tree-based models (e.g., XGBoost, Random Forest)
    • Time series forecasting (e.g., SARIMAX, Prophet, TFT)
    • Statistical modeling of skewed distributions (e.g., log-normal, gamma)
  • 2 years in a leadership or people-management capacity
  • Deep understanding of freight market dynamics, including the interaction between spot and contract pricing, broker and carrier economics, and the impact of capacity cycles and seasonality on market behavior.
  • Familiarity with time-series modeling, signal processing, or index construction.
  • Experience supporting intelligence, analytics, or data products used by external customers.
  • Experience working with large-scale datasets in cloud environments and data pipelines (e.g., Snowflake, AWS, Sagemaker)

We offer Medical, Dental, Vision, Paid Time Off, 401k and much more.
Go on. Do it. Apply Today!

Apply