ZipRecruiter

Log In

1

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

Sky Consulting Inc

Data Scientist

Houston, TX · On-site

Hands-on experience with enterprise data science solutions , preferably in retail, inventory management, or operations research. * Proficiency in Python, SQL, and PySpark. * Experience with ...

NOV, Inc.

Senior Data Scientist

Houston, TX · On-site

... science initiatives that impact operations globally across multiple business units * Define project ... Manage and mentor interns, junior data scientists and analysts * Translate advanced analytics ...

NOV, Inc.

Senior Data Scientist

Houston, TX · On-site

... science initiatives that impact operations globally across multiple business units * Define project ... Manage and mentor interns, junior data scientists and analysts * Translate advanced analytics ...

Deloitte

AI and Data Science Engineer II

Houston, TX · On-site

$109K - $131K/yr

We are a team of strategists, data scientists, operators, creatives, designers, engineers, and ... Ability to lead projects or workstreams * Ability to manage and prioritize multiple tasks in a fast ...

Canacre USA, LLC

Senior Project Manager

Spring, TX · On-site

Post-secondary degree in Biology, Engineering, Geology, Environmental Science, Project management or Business. * Minimum 5 years' professional services consulting experience, working with external ...

Canacre USA, LLC

Senior Project Manager

Spring, TX · On-site

Post-secondary degree in Biology, Engineering, Geology, Environmental Science, Project management or Business. * Minimum 5 years' professional services consulting experience, working with external ...

Quanta Services

Senior Project Manager

Spring, TX

Post-secondary degree in Biology, Engineering, Geology, Environmental Science, Project management or Business. * Minimum 5 years' professional services consulting experience, working with external ...

Serverfarm

Project Manager - Data Centers

Houston, TX

$49.50 - $66.75/hr

Lead all aspects of our data center development project within an existing shell building * Review and validate scope of work (SOW) documents and pricing from data center vendors * Manage the ...

Marencor

Gen AI/ML Solution Architect

Houston, TX · On-site

$60.25 - $79.25/hr

Proven track record in the full data science project lifecycle, including data wrangling, statistical analysis, and data visualization. * Proficiency in Python and R, with expertise in AI/ML ...

Serverfarm

Project Manager - Data Centers

Houston, TX

$170K - $190K/yr

Lead all aspects of our data center development project within an existing shell building * Review and validate scope of work (SOW) documents and pricing from data center vendors * Manage the ...

Serverfarm

Project Manager - Data Centers

Hockley, TX

$170K - $190K/yr

Lead all aspects of our data center development project within an existing shell building * Review and validate scope of work (SOW) documents and pricing from data center vendors * Manage the ...

Serverfarm

Project Manager - Data Centers

Houston, TX · On-site

$170K - $190K/yr

Lead all aspects of our data center development project within an existing shell building * Review and validate scope of work (SOW) documents and pricing from data center vendors * Manage the ...

Serverfarm

Project Manager - Data Centers

Hockley, TX

$46.75 - $63.25/hr

Lead all aspects of our data center development project within an existing shell building * Review and validate scope of work (SOW) documents and pricing from data center vendors * Manage the ...

Augment

Principal Scientist, Data

Houston, TX

$80 - $83/hr

You will partner closely with business and technical stakeholders to translate data science into ... Ability to drive projects independently from ideation to deployment. * Strong business acumen with ...

PACKGENE BIOTECH INC

Project Manager

Houston, TX

It was more than just science; it was about restoring hope and giving families a future. Today ... Establish mechanisms for tracking project progress, collecting relevant data, and generating ...

PackGene Biotech lnc

Project Manager

Houston, TX · On-site

It was more than just science; it was about restoring hope and giving families a future. Today ... Establish mechanisms for tracking project progress, collecting relevant data, and generating ...

next page

Showing results 1-20

All JobsData Science Project Manager JobsData Science Project Manager Jobs in Spring, TX

Data Science Project Manager information

See Spring, TX salary details

$14

$51

$71

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

As of Jun 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 80 20 rule in data science?

The 80/20 rule, also known as Pareto principle, suggests that in data science projects, roughly 80% of results come from 20% of the efforts or data. Data scientists often focus on the most impactful features or data subsets to optimize model performance efficiently.

What is the hottest job of the 21st century?

Data Science Project Managers are among the most in-demand roles due to the rapid growth of data-driven decision making. They coordinate teams, manage projects, and utilize skills in analytics, programming, and tools like Python or R to deliver insights, making this a highly sought-after career in the evolving tech landscape.

What is a data science project manager?

A data science project manager oversees data-driven projects, coordinating teams of data scientists, analysts, and engineers to ensure timely delivery of insights and solutions. They plan project timelines, manage resources, and communicate findings to stakeholders, often using tools like project management software and understanding data science methodologies.

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?

A data scientist can become a project manager by developing skills in leadership, communication, and project planning, often gaining experience in managing teams and projects. Transitioning may also involve obtaining certifications like PMP or Agile, and understanding project management tools. Success depends on the individual's ability to adapt their technical expertise to broader project oversight responsibilities.
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
Infographic showing various Data Science Project Manager job openings in Spring, TX as of June 2026, with employment types broken down into 87% Full Time, 11% Part Time, and 2% Contract. Highlights an 92% Physical, 2% Hybrid, and 6% Remote job distribution, with an average salary of $106,446 per year, or $51.2 per hour.

Data Scientist

Sky Consulting Inc

Houston, TX • On-site

Full-time

Posted 6 days ago

Job description

As a Data Scientist, you will apply strong expertise through the use of machine learning, data mining, and information retrieval to design, prototype, and build next generation advanced analytics engines and services. You will collaborate with cross-functional teams and business partners to define the technical problem statement and hypotheses to test. You will develop efficient and accurate analytical models which mimic business decisions and incorporate those models into analytical data products and tools. You will have the opportunity to drive current and future strategy by leveraging your analytical skills as you ensure business value and communicate the results.

Key Responsibilities

  • Collaborate with business partners to develop innovative solutions to meet objectives utilizing cutting edge techniques and tools.
  • 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-ready code.
  • Implement CI/CD pipelines and manage code repositories using GitHub Enterprise.
  • Design and optimize mathematical programming and machine learning models for real-world applications like Incentive elasticity model.
  • Expereince implementing scenario simulation algorithms.
  • Work independently to break down complex problems into actionable development tasks.
  • Ensure code quality, scalability, and maintainability in a production environment.
  • Contribute to sprint planning, documentation, and cross-functional collaboration.
  • Collaborate, coach, and learn with a growing team of experienced Data Scientists.
  • Stay connected with external sources of ideas through conferences and community engagements
Requirements
  • 8 years of experience working as a Data Scientist
  • Hands-on experience with enterprise data science solutions, preferably in retail, inventory management, or operations research.
  • Proficiency in Python, SQL, and PySpark.
  • Experience with Databricks or similar enterprise cloud environments.
  • Experience with production-level coding and deployment practices.
  • Familiarity with basic machine learning techniques and mathematical optimization methods.
  • Proficient in data science libraries and ML pipelines such as; NumPy, SciPy, scikit-learn, MLlib, PyTorch, TensorFlow.
  • Should have experience working on Price Elasticity.
  • Self-starter with an ownership mindset and the ability to work with minimal supervision.