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

Waste Connections

Data Scientist

The Woodlands, TX · On-site

Bachelor's degree in Data Science, Statistics, Mathematics, Computer Science, Engineering, Economics, or related quantitative field * 3+ years of experience in Data Science, Machine Learning ...

Hewlett Packard Enterprise

Data Scientist

Spring, TX · On-site

Basic knowledge of data science methodologies. * Basic understanding of business requirements and data science objectives. * Basic data mapping, data transfer and data migration skills. Basic ...

Hp

AI Data Scientist - Enterprise AI

Spring, TX · On-site

$130K - $205K/yr

This role sits at the intersection of applied research, machine learning engineering, data science, and business transformation. The ideal candidate combines strong technical expertise in Large ...

Innotech

Data Scientist

Houston, TX

$12K - $78K/yr

Seven or more years of experience in data science * Proficiency with data mining, mathematics, and statistical analysis * Advanced experience in pattern recognition and predictive modeling

YO AI Labs

AI Data Scientist Expert - Remote

Houston, 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 ...

Augment

Principal Scientist, Data

Houston, TX

$80 - $83/hr

You will partner closely with business and technical stakeholders to translate data science into clear, actionable strategies. Key Responsibilities AI/ML Model Development * Design, train, fine-tune ...

Socket.dev

Data Scientist - Wireline

Houston, TX · On-site

$120 - $160/hr

The ideal candidate combines strong fundamentals in applied mathematics and data science with the ability to work in a cross-functional engineering environment. Roles & Responsibilities * Design and ...

NAVA Software Solutions

Lead Data Scientist

Houston, TX · On-site

Keep abreast of the latest data science techniques and technologies. Explore and implement innovative solutions to improve data analysis, modeling capabilities, and business outcomes. * Communicate ...

Hp

AI Data Scientist

Spring, TX · On-site

$130K - $205K/yr

Represents the data science team for all phases of larger and more-complex development projects. Provides guidance, training and mentoring to less experienced staff members. Education & Experience ...

Guidehouse

Epidemiologist Data Scientist

Houston, TX

$80K - $133K/yr

Data Science & Analysis Travel Required: Up to 10% Clearance Required: Ability to Obtain Public Trust What You Will Do: Guidehouse is seeking an Epidemiologist Data Scientist to support epidemiologic ...

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

Weekend Data Science information

See Humble, TX salary details

$32.4K

$106K

$169.7K

How much do weekend data science jobs pay per year?

As of Aug 22, 2026, the average yearly pay for weekend data science in Humble, TX is $105,985.00, according to ZipRecruiter salary data. Most workers in this role earn between $85,100.00 and $117,400.00 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 Humble, TX?

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

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

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

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

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

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

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

Weekend Data Science jobs near you

Data Engineer - Data Science & Technology

Castleton Commodities International LLC

Houston, TX • On-site

$109K - $131K/yr

Full-time

Medical, Dental, Life, Retirement, PTO

Re-posted 25 days ago

Job description

At Castleton Commodities International (CCI), we are redefining how data and technology shape the future of energy trading. Our Data Science & Technology team is at the forefront of this transformation, developing systems and innovative tools that empower our front-office teams to better understand market dynamics, forecast prices, and manage risk.
Our commitment to excellence is reflected in a robust, modern, open-source technology stack, empowering us to solve complex, high-impact challenges at scale. From cloud-native infrastructure to machine learning platforms, real-time analytics, and proprietary libraries and APIs, we are passionate about using technology to drive innovation and create a competitive edge in global energy commodity trading and investing. Candidates will gain direct exposure to our commercial investment teams, offering a unique opportunity to see how cutting-edge technology drives strategy and performance in energy markets.
Our Data Engineering team is integral to our mission, ensuring the seamless ingestion and management of data across our platforms. The Data Engineer will play an integral role as the team implements new data management platforms, creates new data ingestion pipelines, and sources new data sets. The role will assist with all aspects of data - from data architecture design to on-going data management and will have significant exposure to our Commercial investing teams globally. This position will play an integral role as the firm continues to expand its use of data for advanced analytics and other commercial purposes.

Responsibilities

  • Execute data architecture and data management projects for both new and existing data sources.

  • Help transition existing data sets, databases, and code to a new technology stack.

  • Manage end to end data ingestion process and publishing to investing teams.

  • Own the process of mapping, standardizing, and normalizing data.

  • Ad hoc research on project topics such as vendor trends, usage best practices, big data trends, artificial intelligence, vendors, etc.

  • Help transition existing data sets, databases, and code to a new technology stack.

  • Assess data loads for tactical errors and build out appropriate workflows, as well as create data quality analysis that identifies larger issues in data.

  • Actively manage vendors and capture changes in data input proactively.

  • Properly prioritize and resolve data issues based on business usage.

  • Assist with managing strategic initiatives around big data projects for the commercial (trading) business.

  • Partner with commercial teams to gain understanding of current data flow, data architecture, investment process as well as gather functional requirements.

  • Assess gaps in current datasets and remediate.

Qualifications:

  • Bachelor's degree in Computer Science, Mathematics, Physics, Business Intelligence, or related field of study.

  • 3+ years of Data Engineering experience specializing in SQL programming, data architecture, and dimension modeling.

  • Experience in energy commodities or financial services is nice to have but not required.

  • Experience in mapping, standardizing, and normalizing data.

  • Experience with ETL/ELT frameworks to write pipelines to load millions/billions of records.

  • Advanced skills in writing highly optimized SQL code.

  • Experience with relational databases; Snowflake highly preferred.

  • Hands-on experience developing data solutions in Python, Pandas, Numpy, etc.

  • Ability to communicate and interact with a wide range of data users - from very technical to non-technical.

  • Team player who is execution focused, with the ability to handle a rapidly changing set of projects. and priorities, while maintaining strong professional presence.

  • Ability to work effectively in a fast-paced, dynamic and high-intensity environment including an open-floor plan, with timely responsiveness and the ability to work beyond normal business hours when required.

Employee Programs & Benefits:

CCI offers competitive benefits and programs to support our employees, their families and local communities. These include:

  • Competitive comprehensive medical, dental, retirement and life insurance benefits

  • Employee assistance & wellness programs

  • Parental and family leave policies

  • CCI in the Community: Each office has a Charity Committee and as a part of this program employees are allocated 2 days annually to volunteer at the selected charities.

  • Charitable contribution match program

  • Tuition assistance & reimbursement

  • Quarterly Innovation & Collaboration Awards

  • Employee discount program, including access to fitness facilities

  • Competitive paid time off

  • Continued learning opportunities

Visit https://www.cci.com/careers/life-at-cci/# to learn more!

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