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Senior Data Scientist Jobs in Spring, TX (NOW HIRING)

Quanex

Senior Data Engineer

Houston, TX

$101K - $137K/yr

The Sr. Data Engineer is responsible for designing, building, and maintaining scalable data ... Bachelor's degree in computer science, Information Technology, Data Science, Engineering, or a ...

Quanex

Senior Data Engineer

Houston, TX · On-site

$101K - $137K/yr

The Sr. Data Engineer is responsible for designing, building, and maintaining scalable data ... Bachelor's degree in computer science, Information Technology, Data Science, Engineering, or a ...

Hp

AI Data Scientist

Spring, TX

$130K - $205K/yr

AI Data Scientist Description - About the Position The HP Enterprise AI & Machine Learning organization is a centralized team of data scientists and machine learning engineers building GenAI-based ...

Socket.dev

Data Scientist - Wireline

Houston, TX · On-site

$120 - $160/hr

Job Purpose We are seeking a highly motivated Data Scientist to join our Sciences team. In this role, you will apply advanced data analytics, machine learning, and scientific modeling to solve ...

New

HP Development Company, L.P.

AI Data Scientist

Spring, TX · On-site

$130K - $205K/yr

AI Data Scientist Description - About the Position The HP Enterprise AI & Machine Learning organization is a centralized team of data scientists and machine learning engineers building GenAI-based ...

mBridge Solutions

Sr. Data Engineer

Houston, TX

$105K - $127K/yr

Senior Data Engineer \n \n \n Contract: 12 months plus \n \n \n Location: Houston, TX \n \n \n \n ... data scientist team members that assist them in \n \n \n \-Create and maintain optimal data ...

San Jacinto College

Data Scientist I

Pasadena, TX · On-site

Data Scientist I - District Office PRIMARY FUNCTION: The Data Scientist I supports the College's Institutional Research and Data Science function by preparing data, conducting defined components of ...

Hexagon AB

Lead Data Scientist

Houston, TX · On-site

Lead Data Scientist Job Location (Short): Houston, Texas-USA | Madison, Alabama-USA | Roanoke, Virginia-USA Workplace Type: Remote Req Id: 2289 Responsibilities Octave's ETQ division is seeking a ...

Stantec

Senior Data Architect

Houston, TX · On-site

$60.75 - $81.50/hr

Senior Data Architect We are seeking a Senior Data Architect to join a project team that will be ... Bachelor's degree or diploma in computer science, Information Systems, or a related field is ...

Linde Group

Data Scientist

The Woodlands, TX · On-site

* Takepart in the technology development cycle, from understanding businessrequirements to data discovery and extraction, model development, prototyping,evaluation, and deployment * Collaborate with ...

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All JobsData Scientist JobsSenior Data Scientist JobsSenior Data Scientist Jobs in Spring, TX

Senior Data Scientist information

See Spring, TX salary details

$36.9K

$126.8K

$178.9K

How much do senior data scientist jobs pay per year?

As of Aug 8, 2026, the average yearly pay for senior data scientist in Spring, TX is $126,774.00, according to ZipRecruiter salary data. Most workers in this role earn between $105,500.00 and $148,200.00 per year, depending on experience, location, and employer.

What are some of the main challenges senior data scientists face when leading cross-functional projects?

Senior Data Scientists often encounter challenges such as aligning project goals across diverse teams, managing expectations of non-technical stakeholders, and ensuring data quality and accessibility. Balancing long-term research initiatives with immediate business needs can also be demanding. Effective communication, project management skills, and the ability to translate complex findings into actionable insights are essential for overcoming these hurdles and driving successful outcomes.

What are the key skills and qualifications needed to thrive as a senior data scientist, and why are they important?

To thrive as a Senior Data Scientist, you need advanced expertise in statistics, machine learning, data analysis, and programming, typically supported by a degree in a quantitative field and several years of experience. Familiarity with tools like Python, R, SQL, cloud platforms, and machine learning frameworks, as well as relevant certifications such as AWS Certified Machine Learning or TensorFlow Developer, is highly valuable. Strong problem-solving abilities, communication skills, and leadership qualities help in translating data insights into actionable business strategies and mentoring junior team members. These skills and qualities are crucial for driving impactful data-driven decisions and fostering innovation within organizations.

What is a senior data scientist's salary?

A senior data scientist's salary typically ranges from $100,000 to $150,000 annually, depending on experience, location, and industry. Advanced skills in machine learning, statistical analysis, and proficiency with tools like Python or R can influence compensation levels.

What does a senior data scientist do?

A Senior Data Scientist leads advanced analytical projects, utilizing statistical modeling, machine learning, and data mining techniques to extract insights from large datasets. They collaborate with cross-functional teams to identify business opportunities, design predictive models, and communicate findings to stakeholders. In addition to technical expertise, they often mentor junior data scientists, help define data strategies, and ensure best practices in data analysis and model deployment.

What is the difference between Senior Data Scientist vs Data Analyst?

AspectSenior Data ScientistData Analyst
Required CredentialsMaster's or PhD in Data Science, Statistics, or related fieldBachelor's degree in related field, often with certifications
Work EnvironmentAdvanced analytics, modeling, and machine learning projectsData reporting, visualization, and basic analysis
Employer & Industry UsageTech, finance, healthcare, and large enterprisesRetail, marketing, small to medium businesses

While both roles involve working with data, Senior Data Scientists focus on complex modeling and predictive analytics, whereas Data Analysts primarily handle data reporting and visualization. The Senior Data Scientist role requires advanced technical skills and higher education, making it suitable for more complex projects in larger organizations.

What is a senior data scientist?

A senior data scientist does complex data analysis. Job duties include gathering data and writing reports that can help people make decisions. In some cases, they may offer machine learning which is a way to help computers process and understand data. A senior data scientist may also be asked to formulate an algorithm to solve work problems. You need statistics and programming knowledge to be successful in this career.

More about Senior Data Scientist jobs
What are the most commonly searched types of Data Scientist jobs in Spring, TX? The most popular types of Data Scientist jobs in Spring, TX are:
What are popular job titles related to Senior Data Scientist jobs in Spring, TX? For Senior Data Scientist jobs in Spring, TX, the most frequently searched job titles are:
What job categories do people searching Senior Data Scientist jobs in Spring, TX look for? The top searched job categories for Senior Data Scientist jobs in Spring, TX are:
What cities near Spring, TX are hiring for Senior Data Scientist jobs? Cities near Spring, TX with the most Senior Data Scientist job openings:
Senior Data Scientist jobs near you
Infographic showing various Senior Data Scientist job openings in Spring, TX as of August 2026, with employment types broken down into 1% As Needed, 80% Full Time, 14% Part Time, and 5% Contract. Highlights an 85% Physical, 5% Hybrid, and 10% Remote job distribution, with an average salary of $126,774 per year, or $60.9 per hour.

Data Scientist - Intermediate - Hybrid

Precision Human Capital Inc

Houston, TX • On-site

Full-time

Re-posted 19 days ago

Job description

 Our client requires an intermediate level Data Scientist on a permanent / full time basis with ability to work Hybrid Monday to Friday in Houston, TX.
As the ideal candidate, you will be responsible for the following:
  • Perform analytical deep-dives to analyze problems and opportunities, identify the hypothesis and design & execute experiments
  • Inform future experimentation design and roadmaps by performing exploratory analysis to understand user engagement behavior and derive insights
  • Create personalized segmentation strategies leveraging propensity models to enable targeting of offers and experiences based on user attributes
  • Identify key trends and build automated reporting & executive-facing dashboards to track the progress of acquisition, monetization, and engagement trends.
  • Extract actionable insights through analyzing large, complex, multi-dimensional customer behavior data sets
  • Monitor and analyze a high volume of experiments designed to optimize the product for user experience and revenue & promote best practices for multivariate experiments
  • Translate complex concepts into implications for the business via excellent communication skills, both verbal and written
  • Understand what matters most and prioritize ruthlessly
  • Work with cross-functional teams (including Data Science, Marketing, Product, Engineering, Design, User Research, and Senior Executives)

Qualifications:
  • BA / BS degree in a quantitative field (ex Math, Stats, Physics, or Computer Science) with two plus years relevant experience, or PhD degree in a related field with 1 plus years of relevant experience.
  • Ability to independently create plans for analytics projects and a track record of overseeing large / complex analytical projects spanning multiple teams.
  • Understanding of statistical concepts and experience in applying them.
  • Related, understanding of experimentation best practices and concepts (e.g., incrementality, cannibalization, etc.)
  • Experience in data analyses using SQL.
  • Experience in at least one programming language (preferably Python).
  • Demonstration of our core cultural values: clear communication, positive energy, continuous learning, and efficient execution.

Nice to haves:
  • Domain experience in product, marketing, growth, and/or other business analytics areas.

If this opportunity speaks to you than don't delay, apply today!

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