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Entry Level Data Scientist Machine Learning Jobs in Houston, TX

San Jacinto College

Data Scientist I

Pasadena, TX · On-site

The Data Scientist I supports the College's Institutional Research and Data Science function by ... Participate in professional development related to applied statistics, machine learning ...

Varsity Tutors

Machine Learning Tutor

Missouri City, TX · Remote

$18 - $40/hr

... preparing students for data science roles and advanced AI coursework. * Conceptual Teaching ... Familiar with machine learning curricula and common challenges such as understanding bias-variance ...

Varsity Tutors

Machine Learning Tutor

Pearland, TX · Remote

$18 - $40/hr

... preparing students for data science roles and advanced AI coursework. * Conceptual Teaching ... Familiar with machine learning curricula and common challenges such as understanding bias-variance ...

Varsity Tutors

Machine Learning Tutor

Houston, TX · Remote

$18 - $40/hr

... preparing students for data science roles and advanced AI coursework. * Conceptual Teaching ... Familiar with machine learning curricula and common challenges such as understanding bias-variance ...

Varsity Tutors

Machine Learning Tutor

Sugar Land, TX · Remote

$18 - $40/hr

... preparing students for data science roles and advanced AI coursework. * Conceptual Teaching ... Familiar with machine learning curricula and common challenges such as understanding bias-variance ...

Varsity Tutors

Data Science Tutor

Pearland, TX · Remote

$18 - $40/hr

What We Look For In a Data Science Tutor * Advanced Subject Mastery ... Deep knowledge of statistical analysis, data wrangling, exploratory data analysis, machine learning ...

Varsity Tutors

Data Science Tutor

Missouri City, TX · Remote

$18 - $40/hr

What We Look For In a Data Science Tutor * Advanced Subject Mastery ... Deep knowledge of statistical analysis, data wrangling, exploratory data analysis, machine learning ...

Varsity Tutors

Data Science Tutor

Houston, TX · Remote

$18 - $40/hr

What We Look For In a Data Science Tutor * Advanced Subject Mastery ... Deep knowledge of statistical analysis, data wrangling, exploratory data analysis, machine learning ...

Varsity Tutors

Data Science Tutor

Sugar Land, TX · Remote

$18 - $40/hr

What We Look For In a Data Science Tutor * Advanced Subject Mastery ... Deep knowledge of statistical analysis, data wrangling, exploratory data analysis, machine learning ...

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All JobsData Scientist Machine Learning JobsEntry Level Data Scientist Machine Learning JobsEntry Level Data Scientist Machine Learning Jobs in Houston, TX

Entry Level Data Scientist Machine Learning information

See Houston, TX salary details

$35.8K

$117.2K

$187.7K

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

As of Aug 11, 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 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 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 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, 87% Full Time, 9% Part Time, and 3% Contract. Highlights an 86% Physical, 4% Hybrid, and 10% Remote job distribution, with an average salary of $117,212 per year, or $56.4 per hour.

Data Scientist I

San Jacinto College District

Pasadena, TX • On-site

Full-time

Posted 25 days ago

Job description

PRIMARY FUNCTION:   
The Data Scientist I supports the College's Institutional Research and Data Science function by preparing data, conducting defined components of advanced quantitative analyses, and contributing to statistical, predictive, forecasting, segmentation, and scenario-modeling work. The position applies established analytical methods and Responsible AI procedures under guidance to support institutional research, student success, planning, continuous improvement, and informed decision making. The position assists with evaluating model performance, interpretability, stability, potential bias and fairness risk, privacy implications, limitations, appropriate use, and required human review; documents findings; and escalates complex methodological, ethical, or use concerns. This work helps the College better understand patterns, trends, risk factors, outcomes, and opportunities for improvement through rigorous, transparent, and responsible use of institutional data.
       
Essential Job Functions:     
  • Prepare, clean, transform, and structure institutional, operational, academic, student success, workforce, and other relevant datasets for analytical and modeling use.
  • Conduct quantitative analyses and exploratory data analysis to identify patterns, trends, relationships, and potential explanatory factors that support institutional decision making.
  • Support the development, testing, refinement, and maintenance of statistical, predictive, forecasting, classification, clustering, segmentation, simulation, or other analytical models using approved methods, documented intended uses, and established Responsible AI and human-review procedures.
  • Validate analytical outputs, test assumptions, review results for accuracy, and assist with evaluating model performance, calibration, stability, interpretability, potential bias and fairness risk, privacy implications, limitations, fitness for use, and required human review; document concerns and escalate complex issues appropriately.
  • Create and maintain reproducible code, variable definitions, methodological records, evaluation results, intended-use and limitation statements, model-card components, monitoring information, and escalation records for assigned analytical tasks and recurring models, using established standards and seeking guidance on more complex methodological or Responsible AI issues.
  • Assist with scenario analyses, projections, sensitivity testing, and other applied analytical work that supports planning, evaluation, institutional effectiveness, and continuous improvement.
  • Translate analytical findings into clear summaries, visuals, and presentations for technical and nontechnical audiences, including appropriate explanation of assumptions, uncertainty, limitations, potential bias or fairness concerns, human-review requirements, appropriate use, and practical implications.
  • Collaborate with Data Analysts, Data Pipeline Engineers, AI Application Developers, subject-matter experts, governance partners, and business stakeholders to understand institutional questions, frame analyses, interpret results, support responsible use of advanced analytics, document evaluation concerns, and route data, model, application, privacy, or governance issues to the responsible role.
      
Additional Job Functions:     
  • Participate in professional development related to applied statistics, machine learning, forecasting, model validation, responsible analytics, institutional research, and emerging tools relevant to applied data science.
  • Serve on councils, committees, task forces, or other workgroups as requested to provide institutional research expertise and support for college-wide projects or initiatives. Other duties as assigned.

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