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

Required Skills * 10+ years of hands-on experience in Applied Data Science, Analytics Engineering, and Systems Modeling. * 5+ years of client-facing, consulting, or business development experience ...

Data Scientist

Spring, TX · On-site

$71.50 - $164.40/hr

Data Scientist This role has been designed as "Onsite" with an expectation that you will primarily work from an HPE office. Job Family Definition Designs, develops and applies programs, methodologies ...

They are seeking a Data Scientist with extensive experience in data mining, artificial intelligence, and machine learning to apply advanced analytics in business contexts. Qualifications : Required ...

AI & GenAI Data Scientist-Senior Associate

Houston, TX · On-site

$77K - $202K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

Industry/Sector Not Applicable Specialism Data, Analytics & AI Management Level Senior Associate & Summary The Opportunity As an AI & GenAI Data Scientist-Senior Associate, you will be at the ...

We're seeking an experienced data scientist to deliver insights on a daily basis. The ideal candidate will have mathematical and statistical expertise, along with natural curiosity and a creative ...

They are seeking a Data Scientist with extensive experience in data mining and machine learning to tackle business analytics challenges. Qualifications : Required : • Minimum 8 years of relevant ...

Data Scientist - Operations Research

Houston, TX · On-site

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

... senior research staff with reports, grant requests, and research activities Provide consulting ... data science Data Acquisition & Clinical Systems Work with clinical hardware and software ...

Data Scientist This role has been designed as ''Onsite' with an expectation that you will primarily work from an HPE office. Who We Are: Hewlett Packard Enterprise is the global edge-to-cloud company ...

Data Scientist - Operations Research

Houston, TX · On-site

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

... senior research staff with reports, grant requests, and research activities Provide consulting ... data science Data Acquisition & Clinical Systems Work with clinical hardware and software ...

Senior Machine Learning Data Scientist

Houston, TX · On-site

$102 - $156.40/hr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

As our Senior Machine Learning Data Scientist, you will support the development, delivery, and continuous improvement of forecasting processes and models for ENGIE's U.S. power supply business.

Data Scientist

Houston, TX · On-site

  • Retirement

Job Title Data Scientist Education Bachelor's Degree Location Houston, TX 77032 US (Primary) Career Level Professional Category Operations Job Type Permanent BridgeNet Solutions, a member of the PSA ...

Data Scientist

Houston, TX · On-site

$140 - $190/hr

SageSure, a leader in catastrophe-exposed property insurance, is seeking a Data Scientist to join our team. In this role, you will combine geospatial analytics, statistical modeling, machine learning ...

New

The Data Scientist supports the analytical foundation of the BridgeNet 4PL program by transforming large-scale, multi-source supply chain datasets into clean, reliable, and decision-ready information ...

Data Scientist

Houston, TX · On-site

$90 - $130/hr

  • Retirement

The Data Scientist supports the analytical foundation of the BridgeNet 4PL program by transforming large-scale, multi-source supply chain datasets into clean, reliable, and decision-ready information ...

Showing results 21-40

Sr Data Scientist information

See Spring, TX salary details

$36.9K

$126.8K

$178.9K

How much do sr data scientist jobs pay per year?

As of Aug 15, 2026, the average yearly pay for sr 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 does a Sr Data Scientist do?

A Sr Data Scientist is responsible for analyzing complex data sets to extract meaningful insights and guide business decision-making. They design and implement advanced machine learning models, lead data-driven projects, and collaborate with cross-functional teams. In addition to technical tasks, Sr Data Scientists often mentor junior team members and play a key role in setting data strategy within the organization.

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

AspectSr Data ScientistData Analyst
Required CredentialsBachelor's/Master's/PhD in Data Science, Statistics, or related fields; experience with machine learningBachelor's degree in Data Analysis, Statistics, or related fields; proficiency in Excel, SQL
Work EnvironmentCollaborates with data science teams, develops models, and interprets complex dataPrepares reports, visualizes data, and supports decision-making
Employer & Industry UsageTech companies, finance, healthcare, and large enterprisesRetail, marketing, finance, and smaller organizations

The main difference between a Sr Data Scientist and a Data Analyst lies in their responsibilities and skill levels. Sr Data Scientists focus on building advanced models and algorithms, often requiring more technical expertise and experience with machine learning. Data Analysts primarily handle data cleaning, reporting, and visualization to support business decisions. Both roles are essential but serve different functions within data teams.

What are the key skills and qualifications needed to thrive as a Sr Data Scientist?

To thrive as a Sr Data Scientist, you need advanced knowledge of statistics, machine learning, and data analysis, typically backed by a degree in a quantitative field and several years of relevant experience. Expertise in programming languages like Python or R, experience with big data tools (e.g., Spark, Hadoop), and familiarity with cloud platforms or relevant certifications are commonly required. Strong problem-solving abilities, effective communication, and the ability to lead and mentor teams set standout professionals apart. These skills ensure that Sr Data Scientists can extract actionable insights from complex data, drive impactful projects, and support organizational decision-making.

How does a Sr Data Scientist typically collaborate with cross-functional teams within an organization?

A Sr Data Scientist often works closely with product managers, engineers, and business stakeholders to define project goals and translate business needs into analytical solutions. They play a key role in guiding junior data scientists and sharing insights with non-technical team members through clear communication and data visualization. Collaboration is integral, as projects frequently require input from different departments to ensure that data-driven solutions align with overall business strategies and technical feasibility. This cross-functional teamwork helps drive impactful results and fosters a culture of data-informed decision making.

What are popular job titles related to Sr Data Scientist jobs in Spring, TX?

For Sr Data Scientist jobs in Spring, TX, the most frequently searched job titles are:

What job categories do people searching Sr Data Scientist jobs in Spring, TX look for?

The top searched job categories for Sr Data Scientist jobs in Spring, TX are:

What cities near Spring, TX are hiring for Sr Data Scientist jobs?

Cities near Spring, TX with the most Sr Data Scientist job openings:

Infographic showing various Sr Data Scientist job openings in Spring, TX as of August 2026, with employment types broken down into 1% As Needed, 83% Full Time, 13% Part Time, and 3% Contract. Highlights an 86% Physical, 4% Hybrid, and 10% Remote job distribution, with an average salary of $126,774 per year, or $60.9 per hour.

Full-time

Posted 15 days ago


Job description

Required Skills
  • 10+ years of hands-on experience in Applied Data Science, Analytics Engineering, and Systems Modeling.
  • 5+ years of client-facing, consulting, or business development experience delivering analytics solutions.
  • Expertise in statistical modeling, machine learning, and predictive analytics.
  • Strong proficiency with Python, scikit-learn, statsmodels, PyTorch, and TensorFlow.
  • Experience in time-series forecasting, causal inference, feature engineering, and advanced data sampling/resampling techniques.
  • Strong expertise in geospatial analytics and LiDAR data processing.
  • Hands-on experience with ArcGIS, PostGIS, GeoPandas, GDAL/OGR, PDAL, and related geospatial libraries.
  • Experience working with vector, raster, point-cloud, and sensor datasets.
  • Excellent analytical, communication, and stakeholder management skills.
Roles & Responsibilities
  • Design and develop advanced machine learning and statistical models to solve complex business problems.
  • Build predictive models, time-series forecasting solutions, and causal inference frameworks.
  • Perform feature engineering, data preparation, and advanced sampling techniques for large-scale datasets.
  • Develop geospatial analytics and LiDAR processing solutions using industry-standard tools and libraries.
  • Analyze vector, raster, point-cloud, and sensor data to generate actionable insights.
  • Partner with business stakeholders to scope, design, and deliver data science solutions.
  • Present analytical findings and recommendations to technical and business audiences.
  • Optimize model performance, scalability, and deployment in production environments.
  • Mentor data scientists and promote best practices in analytics and machine learning.
  • Support innovation initiatives through advanced analytics and AI-driven solutions.