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Data Science Project Manager Jobs in Spring, TX (NOW HIRING)

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 ...

Beth Page tech

Data Scientist

Houston, TX · On-site

Data Science & Machine Learning: * Strong foundation in mathematics, statistics, and machine ... Lead Proof of Concept (PoC) projects including: * Automated information extraction from ...

Enfinity Global

Project Manager

Houston, TX · On-site

Bachelor's degree in Engineering, Environmental Science, Project Management, or a related field. A Master's degree or PMP certification is preferred. * 10 + years experience in PV Construction ...

HP Development Company, L.P.

AI Data Scientist

Spring, TX · On-site

$130K - $205K/yr

... Manages relationships with business partners to evaluate and foster data driven innovation ... • Leads project team(s) of data science professionals, assuring insights are communicated ...

Hp

AI Data Scientist

Spring, TX · On-site

$130K - $205K/yr

Manages relationships with business partners to evaluate and foster data driven innovation ... Leads project team(s) of data science professionals, assuring insights are communicated regularly ...

HP Inc

AI Data Scientist

Houston, TX

$130K - $205K/yr

... Manages relationships with business partners to evaluate and foster data driven innovation ... • Leads project team(s) of data science professionals, assuring insights are communicated ...

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How much do data science project manager jobs pay per hour?

As of Jul 11, 2026, the average hourly pay for data science project manager in Spring, TX is $51.18, according to ZipRecruiter salary data. Most workers in this role earn between $44.28 and $59.90 per hour, depending on experience, location, and employer.

What is the hottest job of the 21st century?

Data Science Project Managers are in high demand due to the rapid growth of data-driven decision-making across industries. They oversee data projects, coordinate teams, and require skills in analytics tools, project management, and communication. The role is considered one of the most sought-after careers in the 21st century for its impact and earning potential.

What is a Data Science Project Manager?

A Data Science Project Manager is a professional who oversees and coordinates data science projects from inception to completion. They act as a bridge between technical data science teams and business stakeholders, ensuring that project goals align with organizational objectives. Responsibilities include planning project timelines, managing resources, mitigating risks, and communicating progress. They also help define project requirements, monitor deliverables, and ensure that outcomes meet quality standards. Strong communication, analytical, and organizational skills are essential for this role.

Is 40 too late for data science?

For a Data Science Project Manager, age is not a barrier to entering or advancing in the field. Success depends on skills, experience, and continuous learning, such as mastering tools like Python or R and understanding business needs, regardless of age.

Can data scientists make $300k?

Data scientists can earn $300,000 or more annually, especially with extensive experience, advanced skills in machine learning and big data tools, and roles in high-paying industries or senior management positions. Achieving this level often requires a combination of technical expertise, certifications, and leadership responsibilities.

How does a Data Science Project Manager typically collaborate with data scientists and stakeholders throughout a project?

A Data Science Project Manager acts as a bridge between technical teams and business stakeholders, ensuring clear communication of goals, timelines, and deliverables. They facilitate regular meetings to discuss project progress, address any obstacles, and realign priorities as needed. By translating business requirements into actionable tasks for data scientists and providing updates to stakeholders, they help ensure that projects stay on track and deliver value. Effective collaboration often involves balancing technical feasibility with business needs, managing expectations, and fostering a cooperative team environment.

What is the difference between Data Science Project Manager vs Data Analyst?

AspectData Science Project ManagerData Analyst
Required CredentialsOften requires a bachelor’s or master’s in data science, analytics, or related fields; project management certifications beneficialTypically holds a bachelor’s degree in statistics, mathematics, or related areas; certifications like Microsoft Excel or Tableau are common
Work EnvironmentLeads data science projects, collaborates with data scientists, engineers, and stakeholdersAnalyzes data sets, creates reports, visualizations, and supports decision-making
Employer & Industry UsageUsed in tech, finance, healthcare, and consulting firms managing data science initiativesFound across industries for data reporting, business intelligence, and operational analysis

In summary, a Data Science Project Manager oversees data science projects and manages teams, requiring project management skills and relevant certifications. A Data Analyst focuses on analyzing data and creating reports, with a more technical and analytical role. Both roles are essential in data-driven organizations but differ in scope and responsibilities.

What are the key skills and qualifications needed to thrive as a Data Science Project Manager, and why are they important?

To thrive as a Data Science Project Manager, you need a solid understanding of data science methodologies, project management principles, and usually a degree in computer science, statistics, or a related field. Familiarity with analytics tools (such as Python, R, SQL), project management software (like Jira or Trello), and certifications such as PMP or Agile/Scrum are often required. Strong leadership, communication, and problem-solving skills set top performers apart by enabling effective team coordination and stakeholder management. These competencies ensure projects are delivered on time, within scope, and generate actionable insights that drive business value.

Can a data scientist become a project manager?

Yes, a data scientist can become a project manager by developing skills in leadership, communication, and project planning. Gaining experience in managing teams, understanding project workflows, and obtaining certifications like PMP can facilitate this transition.
What are popular job titles related to Data Science Project Manager jobs in Spring, TX? For Data Science Project Manager jobs in Spring, TX, the most frequently searched job titles are:
What job categories do people searching Data Science Project Manager jobs in Spring, TX look for? The top searched job categories for Data Science Project Manager jobs in Spring, TX are:
What cities near Spring, TX are hiring for Data Science Project Manager jobs? Cities near Spring, TX with the most Data Science Project Manager job openings:
Data Science Project Manager jobs near you

Software Engineer in Data Science

Vitol

Houston, TX • On-site

$109K - $131K/yr

Full-time

Posted 13 days ago

Job description

Job Summary:
Vitol is the world’s largest independent energy and commodities trading company, and they are seeking an experienced Software Engineer to join their global data science and machine learning team. The role focuses on supporting GenAI tools and involves collaborating with data scientists and commercial teams to deliver models and solutions while ensuring high software quality and performance.
Responsibilities:
• 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:
Required:
• 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
Preferred:
• 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
Company:
The Vitol Group is an energy and commodity trading company involved in exploration, production, refining, terminals, trading, marketing. Founded in 1966, the company is headquartered in New York, USA, with a team of 1001-5000 employees. The company is currently Late Stage.

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