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Data Science Manager Jobs in Houston, TX (NOW HIRING)

Vitol

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 ... Manage relationships and priorities across projects, focused on maximising value * Actively ...

Vitol

Software Engineer in Data Science

Houston, TX · On-site

$109K - $131K/yr

The role focuses on supporting GenAI tools and involves collaborating with data scientists and ... Manage relationships and priorities across projects, focused on maximising value • Actively ...

Weatherford

Data Scientist - Wireline

Houston, TX

The ideal candidate combines strong fundamentals in applied mathematics and data science with the ... Proficiency in managing and interpreting large datasets * Experience with machine learning ...

WorkNovas LLC

Senior Data Scientist

Houston, TX · On-site

Next to the data science capabilities and experiences you should be able to clearly and effectively ... Experience in Agile working methodology - Software Configuration Management - Knowledge - Software ...

SwiftCruit

Data Scientist

Spring, TX · On-site

$71.50 - $164.40/hr

... science, process) to transform structured and unstructured data into meaningful and actionable ... Management Level Definition Contributes to assignments of limited scope by applying technical ...

Pwc

AI & GenAI Data Scientist-Director

Houston, TX

$155K - $410K/yr

Industry/Sector Not Applicable Specialism Data Science Management Level Director & Summary The Opportunity As an AI & GenAI Data Scientist-Director, you will leverage advanced technologies and ...

Hewlett Packard Enterprise

Data Scientist

Spring, TX

... science, process) to transform structured and unstructured data into meaningful and actionable ... Management Level Definition: Contributes to assignments of limited scope by applying technical ...

Hp

AI Data Scientist - Enterprise AI

Spring, TX · On-site

$130K - $205K/yr

Demonstrates technical depth in LLMs, machine learning, and data science while maintaining a practical focus on implementation. * Communicates clearly with product managers, engineers, and ...

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All JobsData Science JobsData Science Manager JobsData Science Manager Jobs in Houston, TX

Data Science Manager information

See Houston, TX salary details

$29.6K

$92.8K

$164.3K

How much do data science manager jobs pay per year?

As of Aug 9, 2026, the average yearly pay for data science manager in Houston, TX is $92,771.00, according to ZipRecruiter salary data. Most workers in this role earn between $63,000.00 and $119,800.00 per year, depending on experience, location, and employer.

What does a data science manager do?

As a Data Science Manager, your daily responsibilities typically include overseeing a team of data scientists and analysts, setting project priorities, and ensuring the timely delivery of data-driven solutions. You will often collaborate with cross-functional teams, such as engineering, product, and business stakeholders, to define problems, scope solutions, and communicate analytical insights. Your role also involves mentoring team members, reviewing code and analysis, and driving best practices in data science methodologies. This position requires balancing technical project oversight with team leadership and strategic business alignment.

What is a data science manager?

A Data Science Manager leads a team of data scientists to develop and implement data-driven solutions for business challenges. They oversee project timelines, ensure the quality of data analysis, and collaborate with cross-functional teams to drive decision-making. In addition to technical expertise, they require strong leadership, communication, and strategic thinking skills. Their role bridges the gap between data science initiatives and business objectives, ensuring the team's work aligns with company goals.

What is the role of a data science manager?

A data science manager oversees data science teams, guiding project priorities, setting strategic goals, and ensuring the effective use of data analysis and modeling techniques. They coordinate between technical staff and business stakeholders, often requiring skills in leadership, communication, and familiarity with tools like Python, R, or SQL. Their responsibilities include managing workflows, mentoring team members, and ensuring timely delivery of data-driven solutions.

What skills and qualifications are needed to be a data science manager?

To thrive as a Data Science Manager, you need strong analytical skills, experience in machine learning and data analytics, and a background in statistics or computer science, often supported by an advanced degree. Familiarity with tools like Python, R, SQL, cloud platforms, and experience managing data science projects are highly valued, and certifications such as Certified Analytics Professional (CAP) can be advantageous. Excellent leadership, project management, and communication skills are crucial for guiding teams and translating technical findings for stakeholders. These abilities ensure effective team performance, successful project delivery, and the alignment of data science initiatives with organizational goals.

What are the most commonly searched types of Data Science jobs in Houston, TX? The most popular types of Data Science jobs in Houston, TX are:
What are popular job titles related to Data Science Manager jobs in Houston, TX? For Data Science Manager jobs in Houston, TX, the most frequently searched job titles are:
What job categories do people searching Data Science Manager jobs in Houston, TX look for? The top searched job categories for Data Science Manager jobs in Houston, TX are:
What cities near Houston, TX are hiring for Data Science Manager jobs? Cities near Houston, TX with the most Data Science Manager job openings:
Data Science Manager jobs near you
Infographic showing various Data Science Manager job openings in Houston, TX as of August 2026, with employment types broken down into 93% Full Time, and 7% Contract. Highlights an 79% In-person, 7% Hybrid, and 14% Remote job distribution, with an average salary of $92,771 per year, or $44.6 per hour.

Software Engineer in Data Science

Vitol

Houston, TX • On-site

$109K - $131K/yr

Other

Re-posted 12 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

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