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Weekend Data Science Jobs in Texas (NOW HIRING)

Senior Analyst, Data Science

Coppell, TX · On-site

$169K - $222K/yr

About the Role Build, validate, deploy, and maintain Data Science and Optimization models pertaining to Pricing Optimization, Inventory Optimization, and Fulfillment Optimization. Design and ...

Role Summary We are looking for a Staff Data Science Engineer to lead the design and delivery of scalable data science, machine learning, and analytics solutions that create measurable business value ...

Role Summary We are looking for a Staff Data Science Engineer to lead the design and delivery of scalable data science, machine learning, and analytics solutions that create measurable business value ...

Stay up-to-date with the latest data science techniques, tools, and best practices. Qualifications ... Requires periods of non-traditional hours including consecutive nights or weekends when necessary

Stay up-to-date with the latest data science techniques, tools, and best practices. Qualifications ... Requires periods of non-traditional hours including consecutive nights or weekends when necessary

They are seeking a Staff Data Science Engineer to lead the design and delivery of scalable data science, machine learning, and analytics solutions that create measurable business value across the ...

AI Engineer, Data Science

Austin, TX · On-site

$113K - $136K/yr

About the Role As a Senior AI Engineer - Data Science , you will be a key technical leader within our advanced analytics and AI group. You will design, build, and deploy sophisticated machine ...

About the Role Build, validate, deploy, and maintain Data Science and Optimization models pertaining to Pricing Optimization, Inventory Optimization, and Fulfillment Optimization. Design and ...

Data Science & Machine Learning: * Strong foundation in mathematics, statistics, and machine learning * Experience with exploring and extracting insights from multi-dimensional datasets * Proficiency ...

Key Responsibilities: • Working on projects leveraging your expertise in data science, artificial-intelligence and machine learning • Assist in breaking down complex business problems, developing ...

Develop, test, and deploy data science solutions using Python, SQL, and PySpark on enterprise platforms such as Databricks. * Collaborate with data scientists to translate models into production ...

Data Scientist

Irving, TX · On-site

$65 - $70/hr

Basic Qualifications: - 2+ years of experience in statistical data science, feature engineering, and customer segmentation. - 2+ years of hands-on experience with Python, SQL, and PySpark. - 2+ years ...

Basic Qualifications: - 2+ years of experience in statistical data science, feature engineering, and customer segmentation. - 2+ years of hands-on experience with Python, SQL, and PySpark. - 2+ years ...

Who we're looking for Toyota's OneTech Data Science and Machine Learning Department is looking for a passionate and highly motivated Principal Data Scientist. The primary responsibility of this role ...

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Weekend Data Science information

What are the key skills and qualifications needed to thrive as a Weekend Data Scientist, and why are they important?

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 is a Weekend Data Science job?

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 are some typical challenges faced by data scientists working specifically on weekends, 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.

What are the most commonly searched types of Data Science jobs in Texas? The most popular types of Data Science jobs in Texas are:
What cities in Texas are hiring for Weekend Data Science jobs? Cities in Texas with the most Weekend Data Science job openings:
Senior Analyst, Data Science

Senior Analyst, Data Science

Gap, Inc.

Coppell, TX • On-site

$169K - $222K/yr

Full-time

Posted 19 days ago


Gap rating

6.8

Company rating: 6.8 out of 10

Based on 271 frontline employees who took The Breakroom Quiz

20th of 102 rated fashion retailers


Job description

About the Role
Build, validate, deploy, and maintain Data Science and Optimization models pertaining to Pricing Optimization, Inventory Optimization, and Fulfillment Optimization. Design and implementation of sophisticated experimental frameworks utilizing advanced methodologies such as synthetic pairs, synthetic controls, and randomized controlled experiments to rigorously measure causal impacts on key performance indicators, leveraging robust statistical techniques, including difference-in-differences and regression analysis, while conducting comprehensive sensitivity analyses and producing actionable insights. Develop End to End simulation pipelines to accurately and realistically mimic business phenomenon and deploy the simulation to measure model performance. Develop data validation and visualization dashboards to lead model validation and adoptions collaborations with functional stakeholders. Collaborate with Inventory Management, PdM, and Strategy teams, as well as the central Data Science & AI team, to set up data science roadmaps and measure actions resulting from analytics recommendations
Salary Range: $169,240 - $222,100
Employee pay will vary based on factors such as qualifications, experience, skill level, competencies and work location. We will meet minimum wage or minimum of the pay range (whichever is higher) based on city, county and state requirements.What You'll Do
1. Bayesian Machine Learning Models AND Deep learning models to define various allocation optimization, price optimization or fulfillment optimization policies;
2. Time Series Modeling to analyze and forecast data collected over time to identify trends and patterns in sales fluctuations;
3. Hands on experience in at least two of the following areas: Inventory Optimization, Promo & Markdown Optimization, and Fulfillment Optimization;
4. Design and implement experimentation and simulation methods with variance-reduction techniques and apply them to analyze stochastic systems (e.g. queues, inventory models) for estimating performance measures and making data-driven decisions; and
5. SQL, Python Programming Language, PowerBI or Tableau, ML & Data Science Libraries like Scikit, Tensorflow, Pytorch.
Who You Are
Master's degree or foreign degree equivalent in Data Science, Operations Research, Statistics, or related field and three (3) years of experience in Data science or in the job offered or a related role.

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