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

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 ...

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 ...

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 ...

Join our dynamic, centralized Data Science team as we execute our AI/ML roadmap! We focus on developing and maintaining predictive models that support all domains across the business. In this role ...

Collaborate with business and technical teams to define data science use cases and translate business requirements into analytical solutions. * Communicate findings and recommendations through ...

Collaborate with business and technical teams to define data science use cases and translate business requirements into analytical solutions. * Communicate findings and recommendations through ...

Data Scientist

Irving, TX · On-site

$58 - $84/hr

Lead and execute data science projects, delivering innovative technical solutions that drive improved business outcomes * Design, develop, and validate machine learning and statistical models to ...

Data Scientist

Irving, TX · On-site

$58 - $84/hr

Lead and execute data science projects, delivering innovative technical solutions that drive improved business outcomes * Design, develop, and validate machine learning and statistical models to ...

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

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 ...

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 ...

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 ...

Showing results 21-40

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 Sep 7, 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 cities near Irving, TX are hiring for Weekend Data Science jobs?

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

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 Science Vice President Branch Analytics

JPMorgan Chase & Co.

Plano, TX • On-site

$128K - $200K/yr

Full-time

Medical, Retirement

Posted 10 days ago


Key responsibilities

  • Own end-to-end delivery of analysis, test design, implementation, and performance monitoring.

  • Lead the Customer Journey team to map, measure, and optimize end-to-end customer journeys and develop cross-LOB recommendations.

  • Develop scalable, data-driven decisioning approaches and drive their transition from proof of concept to production.


JPMorgan Chase & Co. rating

7.9

Company rating: 7.9 out of 10

Based on 500 frontline employees who took The Breakroom Quiz

77th of 175 rated banks


Job description


The Data & Analytics team is the engine that powers JPMorganChase with insights to create competitive advantages for our business and deliver value for our customers. We have unified data and analytics talent across the firm and encompass a variety of disciplines including data science, reporting, quantitative analytics, and data governance. Within this organization, the Decision Sciences team leverages industry-leading data-driven techniques to convert data into meaningful insights that enable the firm to drive value and an outstanding customer experience
The Branch Channel Analytics team provides expertise in data science and analytics to improve productivity and optimize sales performance for our bankers across the firm. The team leverages industry-leading tools, processes, and analytics to convert data into meaningful insights that enable Consumer Bank's leadership to drive value and an excellent customer experience for their business programs.
We are seeking a Data Scientist Lead - Vice President to join Branch Channel Analytics and lead our Customer Journey and Anomaly Detection strategy across Consumer Banking and cross-Line of Business (LOB) experiences within the branch channel. You will build and continuously improve how we track, understand, and optimize end-to-end customer journeys-delivering an end-to-end credit card customer journey proof of concept, launching a multi-touch attribution framework, and evolving cross-LOB recommendations that optimize how clients are served through the branch channel. You will manage a team of four, partner closely with business and product stakeholders, and own delivery end-to-end-from problem framing and implementation through measurement and ongoing refinement.
Job Summary
We are seeking a Data Scientist Lead - Vice President to join Branch Channel Analytics and lead our Customer Journey and Anomaly Detection strategy across Consumer Banking and cross-Line of Business (LOB) experiences within the branch channel. You will build and continuously improve how we track, understand, and optimize end-to-end customer journeys-delivering an end-to-end credit card customer journey proof of concept, launching a multi-touch attribution framework, and evolving cross-LOB recommendations that optimize how clients are served through the branch channel. You will manage a team of four, partner closely with business and product stakeholders, and own delivery end-to-end-from problem framing and implementation through measurement and ongoing refinement.
This role is ideal for a hands-on technical leader who can balance strategy, execution, stakeholder management, and people leadership in a high-impact environment. The ideal candidate believes in the power of analytics to move a business forward and is energized by the opportunity to continue driving the customer journey strategy forward through data and disciplined measurement. They enjoy digging into data with rigor and business context, and they communicate insights as clear, actionable recommendations for senior stakeholders. They bring a meticulous eye for detail and the leadership presence to align partners, make tradeoffs, and drive decisions.
Job Responsibilities
  • In this role, you will own end-to-end delivery from analysis and test design through implementation and performance monitoring.
  • Lead the Customer Journey team to build and refine approaches to: map and measure end-to-end customer journeys, evolve multi-touch attribution across touchpoints, and generate cross-LOB recommendations to optimize how clients are served through the branch channel
  • Develop scalable, data-driven decisioning (attribution, causal modeling, anomaly detection, and simulation approaches as appropriate) and drive delivery from proof of concept to production readiness
  • Partner with business, product, and cross-functional teams to define requirements, align on tradeoffs and success metrics, and ensure solutions are adopted in workflows
  • Build a rigorous experimentation and measurement cadence (A/B testing/holdouts) to quantify impact, calculate value, and recalibrate strategies over time

Required Qualifications, Capabilities, and Skills
  • 6+ years of applied data science experience, including ownership of production analytics/models and measurable business outcomes.
  • Prior experience leading or mentoring data scientists (formal or informal leadership); ability to manage priorities and develop talent.
  • Strong foundation in statistics and experimentation (A/B testing design, power, bias/variance, causal inference basics).
  • Experience building customer journeys and attribution models and translating them into decision rules and journey strategies.
  • Proficiency in Python (and/or R) and SQL
  • Proven ability to work cross-functionally with product, data, and business partners and drive ambiguity to execution.

Preferred Qualifications, Capabilities, and Skills
  • Experience with customer journey analytics, multi-touch attribution, causal inference, or recommender/ranking systems
  • Familiarity with constraints-aware decisioning (capacity, fairness, coverage, service levels) and optimization concepts
  • Experience with real-time or near-real-time decisioning systems and measurement in operational environments
  • Strong executive communication skills and experience presenting results and recommendations to senior stakeholders

About Us
Chase is a leading financial services firm, helping nearly half of America's households and small businesses achieve their financial goals through a broad range of financial products. Our mission is to create engaged, lifelong relationships and put our customers at the heart of everything we do. We also help small businesses, nonprofits and cities grow, delivering solutions to solve all their financial needs.
We offer a competitive total rewards package including base salary determined based on the role, experience, skill set and location. Those in eligible roles may receive commission-based pay and/or discretionary incentive compensation, paid in the form of cash and/or forfeitable equity, awarded in recognition of individual achievements and contributions. We also offer a range of benefits and programs to meet employee needs, based on eligibility. These benefits include comprehensive health care coverage, on-site health and wellness centers, a retirement savings plan, backup childcare, tuition reimbursement, mental health support, financial coaching and more. Additional details about total compensation and benefits will be provided during the hiring process.
We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants' and employees' religious practices and beliefs, as well as mental health or physical disability needs. Visit our FAQs for more information about requesting an accommodation.
Equal Opportunity Employer/Disability/Veterans
About the Team
Our Consumer & Community Banking division serves our Chase customers through a range of financial services, including personal banking, credit cards, mortgages, auto financing, investment advice, small business loans and payment processing. We're proud to lead the U.S. in credit card sales and deposit growth and have the most-used digital solutions - all while ranking first in customer satisfaction.
The CCB Data & Analytics team responsibly leverages data across Chase to build competitive advantages for the businesses while providing value and protection for customers. The team encompasses a variety of disciplines from data governance and strategy to reporting, data science and machine learning. We have a strong partnership with Technology, which provides cutting edge data and analytics infrastructure. The team powers Chase with insights to create the best customer and business outcomes.

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