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Entry Level Data Scientist Machine Learning Jobs in Houston, TX

WorkNovas LLC

Senior Data Scientist

Houston, TX · On-site

This requires that you have next to your knowledge of machine learning and/or statistics a good grasp of software development. Next to the data science capabilities and experiences you should be able ...

Georgia IT, Inc.

Data Scientist-Houston, TX

Houston, TX · On-site

Georgia IT, Inc. is seeking a Data Scientist to work in Houston, TX. The role involves building production-ready systems for data science, utilizing NLP and Machine Learning techniques, and creating ...

Pwc

AI & GenAI Data Scientist - Manager

Houston, TX · On-site

$99K - $232K/yr

Certifications aligned to data engineering, machine learning, and cloud platforms, including AWS ... PwC does not intend to hire experienced or entry level job seekers who will need, now or in the ...

Innotech

Data Scientist

Houston, TX · On-site

... and machine-learning engineers Required skills and qualifications * Seven or more years of ... data science * Proficiency with data mining, mathematics, and statistical analysis * Advanced ...

CGI Inc.

Data Analyst - Entry Level

Houston, TX · On-site

What You'll Bring • Bachelor's degree in Data Science, Information Systems, Computer Science ... and machine learning, APIs, testing version control and the software development lifecycle • ...

SwiftCruit

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 ... Basic knowledge of machine learning, data integration, and modeling skills and ETL tools (e.g.

Guidehouse

Epidemiologist Data Scientist

Houston, TX

Data Science & Analysis Travel Required: Up to 10% Clearance Required: Ability to Obtain Public ... Design, implement, and refine machine learning and statistical models (e.g., regression, clustering ...

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Entry Level Data Scientist Machine Learning information

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$35.8K

$117.2K

$187.7K

How much do entry level data scientist machine learning jobs pay per year?

As of Sep 2, 2026, the average yearly pay for entry level data scientist machine learning in Houston, TX is $117,212.00, according to ZipRecruiter salary data. Most workers in this role earn between $94,100.00 and $129,900.00 per year, depending on experience, location, and employer.

What is an entry level data scientist machine learning?

Entry level data scientist machine learning jobs are positions for individuals who are new to the field of data science and machine learning. These roles typically focus on working with data, building and testing machine learning models, and supporting more experienced data scientists. Entry level professionals may clean and analyze data, implement basic algorithms, and help interpret results to inform business decisions. These jobs often require proficiency in programming languages like Python or R, foundational knowledge of statistics, and some experience with machine learning libraries.

What are the key skills and qualifications needed to thrive as an entry level data scientist machine learning?

To thrive as an Entry Level Data Scientist in Machine Learning, you need a solid background in statistics, programming (Python or R), and foundational machine learning concepts, typically supported by a relevant degree in computer science, data science, or a related field. Familiarity with tools and libraries such as scikit-learn, TensorFlow, Pandas, and SQL, as well as experience with data visualization platforms, is highly valuable. Strong problem-solving skills, attention to detail, and the ability to communicate technical findings clearly set candidates apart. These skills are essential for effectively analyzing data, building predictive models, and translating complex results into actionable business insights.

What are some common challenges faced by entry level data scientists working with machine learning models?

Entry-level data scientists often encounter challenges such as cleaning and preparing messy or incomplete datasets, selecting appropriate algorithms for specific problems, and tuning model parameters to achieve optimal performance. In addition, they may need to clearly communicate technical findings to non-technical stakeholders and collaborate closely with team members from engineering, product, and business departments. Gaining experience in version control, reproducibility, and model deployment are also important steps in mastering the end-to-end machine learning workflow.

What are the most commonly searched types of Data Scientist Machine Learning jobs in Houston, TX?

The most popular types of Data Scientist Machine Learning jobs in Houston, TX are:

What are popular job titles related to Entry Level Data Scientist Machine Learning jobs in Houston, TX?

For Entry Level Data Scientist Machine Learning jobs in Houston, TX, the most frequently searched job titles are:

What job categories do people searching Entry Level Data Scientist Machine Learning jobs in Houston, TX look for?

The top searched job categories for Entry Level Data Scientist Machine Learning jobs in Houston, TX are:

What cities near Houston, TX are hiring for Entry Level Data Scientist Machine Learning jobs?

Cities near Houston, TX with the most Entry Level Data Scientist Machine Learning job openings:

Entry Level Data Scientist Machine Learning jobs near you
Infographic showing various Entry Level Data Scientist Machine Learning 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 88% Physical, 3% Hybrid, and 9% Remote job distribution, with an average salary of $117,212 per year, or $56.4 per hour.

Databricks AI/ML Data Scientist - W2 Hiring

SCMInnovators LLC

Houston, TX • On-site

Other

Posted yesterday

New

Job description

Sr. Databricks AI/ML Data Scientist (Contract)
Term : 12 Months Contract
Location : Spring TX (3 days onsite/week)
W2 HiringPosition Overview

We are seeking a highly skilled Sr. Databricks AI/ML Data Scientist to support multiple operational initiatives in a long-term contract capacity. This is a hybrid role requiring 3 days onsite per week in the Houston area.

This position is ideal for a hands-on data scientist who has successfully designed, built, deployed, and maintained machine learning solutions in production environments using Databricks.

Key Details
  • Long-term contract opportunity
  • Backfill position supporting multiple business initiatives
  • Hybrid schedule: 3 days onsite per week
  • Opportunity to work across a variety of AI/ML use cases
  • Seeking high-quality candidates with proven delivery experience
What Success Looks Like

The key requirement is not simply experience with Databricks, but demonstrated success using Databricks to develop, deploy, and operationalize AI and machine learning solutions.

Candidates should have experience:

  • Building end-to-end AI/ML solutions
  • Developing machine learning models
  • Deploying models into production environments
  • Monitoring and maintaining productionized models
  • Creating scalable and repeatable ML workflows
  • Supporting the full machine learning lifecycle from development through deployment
Required QualificationsData Science & Machine Learning
  • Strong background in Data Science with a focus on Machine Learning
  • Experience developing, training, validating, and deploying ML models
  • Deep understanding of the full model lifecycle
  • Experience working with supervised and unsupervised learning techniques
  • Expertise with classification and predictive modeling approaches
  • Ability to evaluate model performance and drive continuous improvement
Databricks & MLOps
  • Hands-on experience building AI/ML solutions within Databricks
  • Experience moving models from development to production environments
  • Strong understanding of MLOps principles and best practices
  • Experience with model deployment, monitoring, and lifecycle management
  • Familiarity with scalable ML pipelines and workflow automation
Professional Skills
  • Ability to work independently across multiple projects
  • Strong problem-solving and analytical skills
  • Comfortable collaborating with cross-functional teams
  • Experience supporting production environments and operational initiatives
Preferred Experience
  • End-to-end machine learning solution development
  • Production-grade AI/ML implementations
  • Model governance, monitoring, and optimization
  • Large-scale data processing and analytics platforms
  • Cloud-based machine learning environments
What We're Not Looking For
  • Candidates with only basic Databricks exposure
  • Pure software developers without ML modeling experience
  • Individuals whose experience is limited to coding without model development, deployment, and operationalization responsibilities
Recruiting Focus

We are prioritizing candidates who can demonstrate real-world experience building and productionizing AI/ML solutions using Databricks. Preference will be given to professionals who have successfully delivered machine learning models into production and managed them throughout their lifecycle, rather than candidates who have only used Databricks as a development platform.

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