1

Amazon Data Science Jobs in Houston, TX (NOW HIRING)

Develop and maintain data solutions that support reporting, business intelligence, data science ... Advanced experience with modern data platform, such as Snowflake, Databricks, Amazon Redshift, or ...

The ideal candidate combines strong analytical skills with deep technical expertise in cloud-based data science tools, particularly within the Databricks and Amazon Web Services (AWS) ecosystem. This ...

Amazon Web Services * Apache Hadoop * Apache Kafka * Apache Spark * Big Data * Computer Science * Data Analysis * Data Engineering * Data Modeling * Data Pipelines * Data Warehousing * Extract ...

AI Engineer

Houston, TX · On-site

$122K - $148K/yr

Collaborate with other data scientists, BI teams, and business stakeholders to translate ... Hands-on experience with Amazon Sagemaker and Bedrock for machine learning and generative AI ...

AI Engineer

Houston, TX · On-site

$122K - $148K/yr

Collaborate with other data scientists, BI teams, and business stakeholders to translate ... Hands-on experience with Amazon Sagemaker and Bedrock for machine learning and generative AI ...

Sr. Manager- AI Products & Solutions

Houston, TX · On-site

$120K - $159K/yr

... Amazon Bedrock, Snowflake Cortex AI, and other emerging AI platforms. * Evaluate and establish ... Partner closely with the Data Science organization to integrate predictive models, optimization ...

New

Sr. Manager- AI Products & Solutions

Houston, TX · On-site

$120K - $159K/yr

... Amazon Bedrock, Snowflake Cortex AI, and other emerging AI platforms. * Evaluate and establish ... Partner closely with the Data Science organization to integrate predictive models, optimization ...

New

next page

Showing results 1-20

Amazon Data Science information

See Houston, TX salary details

$43.9K

$157.5K

$232.4K

How much do amazon data science jobs pay per year?

As of Aug 28, 2026, the average yearly pay for amazon data science in Houston, TX is $157,514.00, according to ZipRecruiter salary data. Most workers in this role earn between $127,400.00 and $162,300.00 per year, depending on experience, location, and employer.

What is an Amazon data science?

An Amazon Data Science job involves leveraging data to drive business decisions, optimize operations, and enhance customer experiences. Data scientists at Amazon work with machine learning, statistical modeling, and big data technologies to analyze vast datasets and generate actionable insights. They collaborate with engineering, product, and business teams to develop data-driven solutions for challenges such as recommendation systems, demand forecasting, and fraud detection. Strong programming skills in Python or Scala, expertise in SQL, and experience with AWS tools are commonly required.

What types of projects and challenges can I expect as an Amazon data science team member?

As an Amazon Data Science team member, you can expect to work on projects ranging from optimizing supply chains and recommendation systems to improving customer experiences and forecasting demand. Daily responsibilities often involve analyzing large data sets, building predictive models, and collaborating closely with product managers, software engineers, and business leaders. The pace is fast, with opportunities to tackle complex problems that have a direct impact on Amazon’s customers and operations. You’ll also have the chance to grow your skills through cross-team projects, participation in internal workshops, and exposure to emerging data science technologies.

What are the key skills and qualifications needed to thrive in the Amazon data science position, and why are they important?

To thrive as an Amazon Data Science professional, you need strong analytical abilities, expertise in statistics and machine learning, and a solid educational background in computer science, mathematics, or a related field. Proficiency in programming languages such as Python or R, familiarity with big data tools like AWS, Spark, or Hadoop, and relevant certifications (e.g., AWS Certified Data Analytics) are often required. Effective communication, business acumen, and collaborative problem-solving set exceptional candidates apart. These skills are crucial for transforming complex data into actionable insights that drive impactful business decisions at Amazon.

Does Amazon have data science jobs?

Yes, Amazon offers data science jobs across various teams, focusing on areas such as machine learning, data analysis, and predictive modeling. These roles typically require skills in programming, statistics, and tools like Python, R, or SQL, and often involve working in collaborative, fast-paced environments. Candidates should review Amazon's careers page for current openings and specific role requirements.

What job categories do people searching Amazon Data Science jobs in Houston, TX look for?

The top searched job categories for Amazon Data Science jobs in Houston, TX are:

What cities near Houston, TX are hiring for Amazon Data Science jobs?

Cities near Houston, TX with the most Amazon Data Science job openings:

Infographic showing various Amazon Data Science job openings in Houston, 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 86% Physical, 4% Hybrid, and 10% Remote job distribution, with an average salary of $157,514 per year, or $75.7 per hour.

Manager, Data Science & Services

Spring, TX • On-site

$120 - $160/hr

Other

Medical, Dental, Vision, Life, Retirement

Posted 8 days ago


Job description

Current job opportunities are posted here as they become available.

MOREgroup is a family of architecture, design, and engineering brands that serve civic, education, and healthcare practice areas. The facilities we bring to life are places where communities are cared for, educated, protected, and connected. We are proud to contribute to a strong social infrastructure where generations thrive.

Our beliefs are rooted in the concept of more. We believe the best outcomes happen when we are more connected to the work we do and to the people we serve. For us, more is about going beyond expectation to find meaningful connections and experiences that create greater impact for communities. It is about the power to innovate and the passion to serve. What we do matters, but how we do it matters more.

Some of the things you can expect working at MOREgroup…
  • Contributing to a passionate and energetic team within a growing company.
  • Training and professional development to support career growth with exposure to a variety of areas and industries.
  • MORE opportunities to impact the communities we collectively serve.
POSITION SUMMARY

We are seeking a skilled and motivated data professional with a strong background in data science, data engineering, data integration, and data warehousing. This role will be responsible for designing, building, and maintaining scalable data pipelines and analytics solutions that enable data-driven decision-making across the organization. The ideal candidate brings hands‑on experience with modern cloud data platforms and integration tools and is comfortable working across the full data lifecycle—from ingestion and transformation to analytics and optimization.

RESPONSIBILITES
  • Design, develop, and maintain scalable data pipelines and architectures that support business reporting, analytics, and operational needs.
  • Build and optimize data warehouses and analytical data models to enable accurate, accessible, and actionable insights.
  • Integrate data from internal and external sources using APIs, flat files, database connections, and modern ETL/ELT tools and methodologies.
  • Partner with business stakeholders, analysts, and technology teams to understand data needs and translate requirements into effective technical solutions.
  • Evaluate and recommend business intelligence, analytics, and data solutions that align with organizational needs and long‑term technology strategy.
  • Ensure data is accurate, consistent, secure, reliable, and performant across platforms and systems.
  • Develop and maintain data solutions that support reporting, business intelligence, data science, and advanced analytics initiatives.
  • Build and maintain a hybrid data and analytics environment that supports immediate business needs while advancing the organization’s adoption of modern AI and machine learning capabilities.
  • Monitor, troubleshoot, and optimize data pipelines, integrations, and system performance to ensure reliable data delivery.
  • Apply sound technical judgment when selecting data integration approaches, balancing speed to delivery, scalability, maintainability, and long‑term modernization.
  • Establish and maintain data architecture, pipeline, integration, and development standards and documentation.
  • Lead and manage offshore teams of developers, analysts, engineers, and administrators to support data and analytics initiatives.
  • Oversee data and analytics projects from solution design and development through implementation and delivery.
  • Define and execute an operational strategy that effectively supports MOREgroup’s diverse data audiences, including business users, technology and digital teams, shadow technology teams, and external partners.
  • Identify opportunities to improve data processes, reduce reliance on shadow technology solutions, and create more consistent and scalable enterprise data capabilities.
QUALIFICATIONS & SKILLS
  • Bachelor’s degree in Computer Science, Data Science, Information Technology, or a related field preferred, with 3+ years of professional experience in data engineering, data integration, data science, or data warehousing.
  • Advanced experience with modern data platform, such as Snowflake, Databricks, Amazon Redshift, or Microsoft Azure Synapse Analytics.
  • Strong experience with data integration and ETL/ELT tools, such as Informatica, Boomi, Talend, Amazon Glue, Microsoft Fabric, or SSIS.
  • Proficiency in programming language commonly used for data and analytics, including Python, R, Julia, Scala, or SAS.
  • Strong SQL skills and experience working with large, complex datasets and relational databases, including Oracle, Microsoft SQL Server, MariaDB, MySQL, or PostgreSQL.
  • Experience with cloud-based data ecosystems, modern data architectures, data modeling, dimensional modeling, and analytics best practices.
  • Demonstrated experience leading and coordinating offshore data teams, including data engineers, analysts, and administrators across multiple time zones.
  • Strong analytical and problem‑solving skills, with the ability to manage projects independently while collaborating effectively across teams.
  • Excellent communication skills, with the ability to translate complex technical concepts into clear, actionable information for non‑technical stakeholders.
BENEFITS

This role offers competitive compensation and is eligible for participation in our comprehensive benefits programs including:

  • Medical, Dental, and Vision Insurance
  • 401(k) plan with company match
  • Life insurance, long‑term and short‑term disability
#J-18808-Ljbffr