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

KPMG

Data Scientist- Senior Associate

Dallas, TX · On-site

$58K - $58K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Drive the delivery of robust data science features by taking ownership of specific modules from development and experimentation through to deployment * Engage in agile ceremonies and contribute to ...

Judge Group, Inc.

DATA SCIENTIST - IV

Irving, TX · On-site

Well versed in statistical modeling, data science, genAI, predictive modeling, prescriptive modeling and advanced mathematics * Python-most of their code is weitten * PySpark for scaling the model

AT&T

Senior Data Scientist

Dallas, TX · On-site

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Coding proficiency required in at least one data science language (Python, R, Scala, etc.), as well as expertise with modern ML packages and libraries (Spark, SciKitLearn, Pandas, PyTorch, TidyVerse ...

United Airlines

Data Scientist

Irving, TX · On-site

$90K - $125K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Required Skills and Experience Bachelor's degree or higher in AI, Machine Learning, Computer Science, or a related field. 3-5 years of experience in AI, Machine Learning, Data Science, or Application ...

Vizient

Lead Data Scientist

Irving, TX

You will design scalable data science products, translate sophisticated analytical findings into actionable insights, and guide data scientists in delivering high-quality solutions that improve ...

Vizient, Inc.

Lead Data Scientist

Irving, TX · On-site

You will design scalable data science products, translate sophisticated analytical findings into actionable insights, and guide data scientists in delivering high-quality solutions that improve ...

KPMG

Data Scientist- Associate

Dallas, TX · On-site

$58K - $58K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Master's degree from an accredited college or university in Computer Science, Data Science, Statistics, or a related quantitative discipline is preferred. Minimum of a Bachelor's degree is required.

Marencor

Data Scientist with Python

Dallas, TX · On-site

Data Science Skills * Deploy and maintain knowledge ingestion pipelines and integration into API-based services. * Strong knowledge of data cleansing, NLP, parsing tools, regex, and optimization ...

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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 Aug 20, 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

Senior Data Scientist - Operation Research

Tiger Analytics Inc.

Dallas, TX • On-site, Remote

Full-time

Re-posted 26 days ago

Job description

Tiger Analytics is pioneering what AI and analytics can do to solve some of the toughest problems faced by organizations globally. We develop bespoke solutions powered by data and technology for several Fortune 100 companies. We have offices in multiple cities across the US, UK, India, and Singapore, and a substantial remote global workforce.
We are also market leaders in AI and analytics consulting in the CPG & retail industry with over 40% of our revenues coming from the sector. This is our fastest-growing sector, and we are beefing up our talent in the space.
We are looking for a Senior Data Scientist with a good blend of data analytics background, practical experience in Operation research strategies and Pricing Analytics within supply chains, and strong coding capabilities to add to our team.
Key Responsibilities:
  • Responsible for refactoring the Optimization algorithm written in Python using Object Oriented Programming
  • Work on the latest applications of data science to solve business problems in the Supply chain and optimization space of Retail and/or CPG.
  • Utilize advanced statistical techniques and data science algorithms to analyze large datasets and derive actionable insights related to Pricing Optimization.
  • Develop and implement predictive models and optimization algorithms to improve inventory management, reduce stockouts, and optimize resource allocation across the supply chain.
  • Collaborate with cross-functional teams to understand business requirements and translate them into data-driven solutions.
  • Design and execute experiments to evaluate the effectiveness of different replenishment strategies and allocation policies.
  • Monitor and analyze key performance indicators (KPIs) related to replenishment and supply chain allocation, and provide recommendations for continuous improvement.
  • Stay abreast of industry trends and best practices in data science, replenishment optimization, and supply chain management, and leverage this knowledge to drive innovation within the organization.
  • Collaborate, coach, and learn with a growing team of experienced Data Scientists.

Requirements
  • Proven experience 10+ years working as a Data Scientist, with a focus on supply chain optimization and inventory allocation.
  • MS or PhD in Computer Science, Operations Research, Applied Mathematics, Machine Learning, or a related field.
  • Experience with using mathematical programming solvers such as Gurobi, Xpress MP, CPLEX, or Google OR Tools in applications.
  • Solid understanding of statistical methods, optimization techniques, and predictive modelling concepts.
  • Strong proficiency in programming languages such as Python, Pyspark and SQL, and experience working with data analysis and machine learning libraries.
  • Ability to apply various analytical models to business use cases
  • Exceptional communication and collaboration skills to understand business partner needs and deliver solutions and explain to business stakeholders.

Benefits
This position offers an excellent opportunity for significant career development in a fast-growing and challenging entrepreneurial environment with a high degree of individual responsibility.
Tiger Analytics provides equal employment opportunities to applicants and employees without regard to race, color, religion, age, sex, sexual orientation, gender identity/expression, pregnancy, national origin, ancestry, marital status, protected veteran status, disability status, or any other basis as protected by federal, state, or local law.

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