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Python Data Science Jobs in The Woodlands, TX (NOW HIRING)

Software Engineer in Data Science

Houston, TX · On-site

$109K - $131K/yr

Translate: Act as a local champion for data science and AI, helping users adopt tools and ... Provide software engineering and design expertise and best practices (Python) with a focus on ...

Software Engineer in Data Science

Houston, TX · On-site +1

$109K - $131K/yr

Translate: Act as a local champion for data science and AI, helping users adopt tools and ... Provide software engineering and design expertise and best practices (Python) with a focus on ...

Software Engineer in Data Science

Houston, TX · On-site

$109K - $131K/yr

Translate: Act as a local champion for data science and AI, helping users adopt tools and ... Provide software engineering and design expertise and best practices (Python) with a focus on ...

Senior Python Developer - w2

Spring, TX · On-site

$108K - $145K/yr

As part of an integrated project team consisting of software engineers, data scientists, and computational engineers, contribute to a diverse Python codebase that models Carbon Capture and ...

... as SQL, Python for data manipulation, analysis and model development SUGGESTED QUALIFICATIONS * Master's degree in a quantitative discipline * Five or more years of professional data science ...

... as SQL, Python for data manipulation, analysis and model development SUGGESTED QUALIFICATIONS * Master's degree in a quantitative discipline * Five or more years of professional data science ...

... data science systems. * Strong proficiency in: * Python, SQL, Scientific computing and data engineering workflows * Experience with modern ML frameworks and tools such as: * PyTorch, TensorFlow ...

This individual will break down the hairiest of problems by applying the full data science toolkit ... Basic knowledge of various programming languages, such as Python, Perl, C/C++, SQL, and Java, with ...

Proficiency with Tableau, Power BI, or Python visualization libraries Education / Qualifications Experience & Education * 7+ years in data science, ML engineering, or related roles * 3+ years ...

Preferred Certifications • Programming Language/s Certification (SQL, Python, or similar) Knowledge & Skills * Strong foundation in data science and core machine learning concepts. * Experience ...

AI Data Scientist

Spring, TX · On-site

$130K - $205K/yr

Preferred Certifications • Programming Language/s Certification (SQL, Python, or similar) Knowledge & Skills * Strong foundation in data science and core machine learning concepts. * Experience ...

Preferred Certifications Programming Language/s Certification (SQL, Python, or similar) Knowledge & Skills * Strong foundation in data science and core machine learning concepts. * Experience with ...

Create and maintain production-ready pipelines for data science models * Partner with the Business ... Strong programming skills in Python or R; familiarity with Julia or similar languages is a plus

Create and maintain production-ready pipelines for data science models * Partner with the Business ... Strong programming skills in Python or R; familiarity with Julia or similar languages is a plus

... and data science solutions. * Proficiency in Python and modern AI/ML libraries and frameworks. * Experience with model evaluation, experimentation, performance measurement, and validation ...

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Python Data Science information

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How much do python data science jobs pay per hour?

As of Jul 15, 2026, the average hourly pay for python data science in The Woodlands, TX is $52.36, according to ZipRecruiter salary data. Most workers in this role earn between $43.17 and $59.47 per hour, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive in the Python Data Science position, and why are they important?

To thrive in Python Data Science, you need strong programming skills in Python, a solid understanding of statistics, data manipulation, and experience with data analytics or machine learning, often supported by a bachelor’s or master’s degree in a quantitative field. Familiarity with tools such as pandas, NumPy, scikit-learn, Jupyter Notebooks, and knowledge of SQL are typically essential; certifications like Google Data Analytics or IBM Data Science can be advantageous. Critical thinking, problem-solving, and effective communication are key soft skills for translating data insights into actionable business recommendations. These skills are crucial to efficiently analyze large datasets, build predictive models, and deliver meaningful insights that drive decision-making.

How much does a Python data scientist make?

A Python data scientist's salary typically ranges from $80,000 to $130,000 annually, depending on experience, location, and industry. Professionals with strong skills in machine learning, statistical analysis, and data visualization tools like Pandas and TensorFlow tend to earn higher salaries.

What are typical day-to-day responsibilities in a Python Data Science role?

In a Python Data Science role, your typical day might involve collecting, cleaning, and preparing raw data, exploring datasets to uncover patterns and trends, and building or evaluating predictive models. You’ll regularly use Python libraries to conduct analyses, visualize results, and collaborate with cross-functional teams such as product managers or engineers to define business objectives. Presenting your findings in clear, actionable formats for both technical and non-technical stakeholders is also a key part of the job. This dynamic environment emphasizes continuous learning, problem-solving, and close communication with other departments to align analytical insights with organizational goals.

Is Python useful in data science?

Python is a fundamental tool for data scientists, including those in data science roles, due to its extensive libraries such as Pandas, NumPy, and scikit-learn that facilitate data analysis, visualization, and machine learning. Its simplicity and versatility make it a preferred programming language in the data science field, often complemented by knowledge of SQL and data visualization tools.

What is a Python Data Science job?

A Python Data Science job involves using Python to analyze, process, and visualize data to extract insights and inform decision-making. It typically includes working with libraries like Pandas, NumPy, and Scikit-learn for data manipulation, statistical analysis, and machine learning. Professionals in this role may clean and preprocess data, build models, and communicate findings through reports or visualizations. Python Data Scientists often work in industries like finance, healthcare, and technology to solve complex problems and optimize business strategies.

Is 40 too late for data science?

Age is not a barrier to becoming a data scientist; many professionals transition into data science at various ages. Success depends on acquiring relevant skills such as programming in Python, understanding statistics, and working with tools like Jupyter notebooks, regardless of age.

Is Python a high paying job?

Python Data Science roles are generally well-paid due to high demand for skills in data analysis, machine learning, and automation. Salaries vary based on experience, location, and industry, but professionals with Python expertise often earn above average wages in the tech sector.
What are popular job titles related to Python Data Science jobs in The Woodlands, TX? For Python Data Science jobs in The Woodlands, TX, the most frequently searched job titles are:
What job categories do people searching Python Data Science jobs in The Woodlands, TX look for? The top searched job categories for Python Data Science jobs in The Woodlands, TX are:
What cities near The Woodlands, TX are hiring for Python Data Science jobs? Cities near The Woodlands, TX with the most Python Data Science job openings:

Software Engineer in Data Science

Vitol

Houston, TX • On-site

$109K - $131K/yr

Full-time

Posted 17 days ago


Job description

Company Description
Vitol is the world's largest independent energy and commodities trading company. Every day we use our expertise and logistical networks to distribute energy around the world, efficiently and responsibly. From 40 offices worldwide, we seek to add value across the energy supply chain, including deploying our scale and market understanding to help facilitate the energy transition. To date, we have committed over $1 billion of capital to renewable projects and are identifying and developing low-carbon opportunities around the world.
Our people are our business. Talent is precious to us and we create an environment in which individuals can reach their full potential, unhindered by hierarchy. Our team comprises more than 65+ nationalities and we are committed to developing and sustaining a diverse work force. Learn more about us here.
This Role is located in Houston, TX - In office 5x a week
Job Description
As our portfolio of work continues to grow, we are looking for an experienced Software Engineer to join our global data science and machine learning team. This role will have an initial focus on supporting our GenAI tools, including our firmwide virtual assistant. Concretely this means you will:
  • Implement: take the requirements from our broad range of commercial stakeholders and translate these into application features.
  • Design: Ensure we design and build the models and tools to meet the functional/non-functional requirements, as well as being supportable. The role will also help partner teams understand how they can support and integrate to the AI tools.
  • Translate: Act as a local champion for data science and AI, helping users adopt tools and articulate their changes and requirements to the wider team.

The individual will work both with our data scientists and machine learning engineers but will also need to directly engage with the commercial teams (across trading, operations, support functions, etc.).
The role will also act as a bridge between the Data Science team and other technology teams for areas like application integration, data sourcing, infrastructure and tooling.
For the successful candidate, this role will give them exposure across the machine learning lifecycle, being able to apply their skills wherever they can add value, from working with business stakeholders to help define the project, to data collation through to solution design and model implementation.
We are looking for a candidate who brings both a breadth and depth of experience, from a theoretical and practical perspective; but equally someone who can and wants to continue learning.
As a small team, everyone is expected to organize, prioritize and execute their own tasks; with a strong focus on maximizing the business value from their actions. This means the individual will need to be comfortable working on multiple projects simultaneously, managing competing priorities and stakeholder requirements.
The successful candidate will join a team of experienced, collaborative practitioners, who are (pragmatically) solving some of the most challenging and impactful problems the energy industry is facing; as well as pushing the boundaries around the 'art of the possible'.
Core Responsibilities include:
  • Act as the primary point of contact in Houston for our GenAI toolset
  • In conjunction with the global Data Scientists deliver models and solutions to business users, and other technology teams across a wide range of projects and technologies
  • Develop, test, maintain software tools and data pipelines for machine learning
  • Provide software engineering and design expertise and best practices (Python) with a focus on maintainability, performance, and reliability
  • As needed, take ownership of key technical infrastructure
  • Engage with projects at any point in their lifecycle, understand and debug bespoke applications; driving performance and reliability
  • Manage relationships and priorities across projects, focused on maximising value
  • Actively participating in and leading code reviews, experiment design and tooling decisions to help drive the team's velocity and quality

Qualifications
Essential Qualifications
  • 3-5+ years in industry; fluency in Python with ability to design and write clean, modular, well-documented code and a solid understanding of coding best practices
  • Master's degree in Computer Science or a related field
  • Ability and desire to learn and apply new technologies
  • Ability to logically evolve an architecture from prototype to product, considering technical debt and delivery risk
  • Collaborative approach to problem solving - ability to effectively pair program
  • Effective technical communicator - both written and verbal; able to translate loose designs into documentation / process / operating model
  • Experience with data engineering, APIs, and cloud platforms (ideally AWS) and containerization technologies (Docker)
  • Experience with enterprise software development lifecycle and tooling including continuous integration and delivery concepts/technologies

Desired Experience
  • Experience with machine learning workflows, cloud scale machine learning infrastructure (including LLMs)
  • Experience in the energy or commodities trading industry, with knowledge of financial markets and trading concepts
  • Data orchestrators (Airflow, Dagster) and cloud-based ETL/ELT pipelines

Personal Characteristics
  • A self-motivated individual who thrives on seeing the results of their work make an impact in the business
  • Strong communication skills, both verbally and in writing
  • Proven ability to be flexible, work hard, and a sense for the art of the possible
  • Methodical, organized and with an attention to detail - in general, in experimental design, and in code!
  • Willingness to share their knowledge and learn from others
  • An interest in learning about the commodities space
  • Resourceful, able to think creatively and adapt in a dynamic environment
  • Team player, with an open non-political style and a high level of integrity
  • Desire to be a thought-partner in a fast-growing team, and make an impact at a business that sits at the heart of the world's energy flows

Additional Information
What we offer
  • Competitive salary and benefits package
  • Large diversity of projects with real-world impacts on a truly global scale
  • Entrepreneurial environment within a flat hierarchy, where great ideas come to life quickly
  • Close collaboration with various business units across our key regions (eg. London, Singapore, Geneva)
  • A highly motivated DS and ML team comprised of experienced individuals with a supportive attitude and great team spirit
  • Being part of the energy transition through increased emphasis on renewable & alternative energy sources at a pivotal moment in the industry
  • Strong management commitment to incorporating machine learning into the future of Vitol's operations

This Role is located in Houston, TX - In office 5x a week