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

Waste Connections is seeking a Data Scientist to join our growing Analytics & AI team. This role will partner with business leaders to solve complex operational and strategic challenges through ...

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 ...

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 ...

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

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 ...

We are currently looking for an Lead / Sr Analyst Data Scientist for our Houston, TX office. POSITION DESCRIPTION: The Data Scientist plays a key role in advancing digital innovation by developing ...

We are currently looking for an Lead / Sr Analyst Data Scientist for our Houston, TX office. POSITION DESCRIPTION: The Data Scientist plays a key role in advancing digital innovation by developing ...

Lead Data Scientist Location: Houston, TX 77002 Job Type: Full-Time Category: Non-Clinical Professional About the Organization Our organization is committed to delivering high-quality, efficient ...

Showing results 41-60

Sr Data Scientist information

See Spring, TX salary details

$35.1K

$120.6K

$170.1K

How much do sr data scientist jobs pay per year?

As of Sep 6, 2026, the average yearly pay for sr data scientist in Spring, TX is $120,583.00, according to ZipRecruiter salary data. Most workers in this role earn between $100,300.00 and $140,900.00 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 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 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 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, 84% Full Time, 12% Part Time, and 3% Contract. Highlights an 84% Physical, 4% Hybrid, and 12% Remote job distribution, with an average salary of $131,175 per year, or $63.1 per hour.

Data Scientist

Waste Connections

The Woodlands, TX • On-site

Full-time

Posted 21 days ago


Waste Connections rating

7.4

Company rating: 7.4 out of 10

Based on 265 frontline employees who took The Breakroom Quiz

29th of 92 rated recycling and waste


Job description

Waste Connections is seeking a Data Scientist to join our growing Analytics & AI team. This role will partner with business leaders to solve complex operational and strategic challenges through analytics, machine learning, data engineering, and AI-driven solutions.
The ideal candidate is a hands-on problem solver who can translate business needs into actionable insights and production-ready solutions. This position requires a blend of technical expertise, business acumen, and strong communication skills, with ownership spanning the full lifecycle from data exploration and model development to deployment and adoption.
Essential Duties and Responsibilities
  • Partner with business stakeholders to identify opportunities for analytics, automation, and AI solutions

  • Develop, deploy, and maintain machine learning models and advanced analytics solutions

  • Design and build scalable data pipelines and data products

  • Perform data analysis, feature engineering, forecasting, and statistical modeling

  • Create dashboards, reports, and self-service analytics tools to support decision-making

  • Monitor, improve, and support production analytics solutions

  • Present findings and recommendations to both technical and non-technical audiences

  • Drive measurable business impact through data-driven insights and operational improvements

  • Collaborate with data engineers, analysts, and technology teams on enterprise initiatives

Qualifications
  • Bachelor's degree in Data Science, Statistics, Mathematics, Computer Science, Engineering, Economics, or related quantitative field

  • 3+ years of experience in Data Science, Machine Learning, Analytics, or a related discipline

  • Strong proficiency in Python and SQL

  • Experience building and deploying production machine learning or analytics solutions

  • Experience developing and maintaining data pipelines

  • Strong knowledge of statistics, hypothesis testing, and model evaluation techniques

  • Experience communicating analytical findings to business stakeholders

  • Excellent problem-solving, analytical, and communication skills

Preferred Qualifications
  • Experience with Databricks, Spark, or PySpark

  • Experience with cloud platforms such as AWS or Azure

  • Experience with Tableau, Power BI, or other data visualization tools

  • Experience with modern data architectures and lakehouse environments

  • Experience developing AI-enabled applications

  • Familiarity with forecasting, optimization, customer analytics, pricing, or operational analytics

What We Offer
  • Opportunity to work on high-impact business problems

  • Exposure to analytics, machine learning, data engineering, and AI initiatives

  • Direct interaction with business leaders and decision-makers

  • Ownership of projects from concept through production deployment

  • Collaborative team environment with strong opportunities for growth and development

Waste Connections is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to disability or protected veteran status.

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