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

YO AI Labs

AI Data Science Expert - Remote

Houston, TX · Remote

$100 - $200/hr

Job Title: AI Data Science Domain Expert Job Type: Contractor (Part-Time) Location: Remote Job ... Perform independent research and fact-checking to validate technical information. * Annotate data ...

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Data Science Research information

See Houston, TX salary details

$35.8K

$117.2K

$187.7K

How much do data science research jobs pay per year?

As of Sep 5, 2026, the average yearly pay for data science research 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 data science research?

Data science research involves using scientific methods, algorithms, and systems to extract knowledge and insights from structured and unstructured data. Researchers in this field work on developing new data analysis techniques, machine learning models, and data-driven solutions to solve complex problems. The work often includes designing experiments, analyzing large datasets, and publishing findings to advance the understanding of data science methodologies.

How does a data science researcher typically collaborate with other departments within an organization?

Data Science Researchers frequently work cross-functionally, collaborating with teams such as engineering, product management, and business analytics. They often translate complex research findings into actionable insights, guiding product development or business strategies. Regular meetings, joint project planning, and code reviews are common, ensuring that research outcomes align with organizational goals. Effective communication and teamwork are key to integrating advanced data solutions into real-world applications.

What are the key skills and qualifications needed to thrive as a data science researcher, and why are they important?

To thrive as a Data Science Researcher, you need strong analytical skills, expertise in statistics and machine learning, and an advanced degree in a quantitative field such as computer science, mathematics, or engineering. Proficiency with programming languages like Python or R, data visualization tools, and experience using platforms such as TensorFlow or PyTorch is typically required. Curiosity, creativity, and clear communication are essential soft skills for designing research questions, interpreting results, and sharing findings with diverse audiences. These skills and qualities are crucial for driving innovative solutions and impactful insights in data-driven environments.

What is the difference between Data Science Research vs Data Analyst?

AspectData Science ResearchData Analyst
CredentialsTypically requires advanced degrees (Master's or PhD) in Data Science, Statistics, or related fieldsOften requires a Bachelor's or Master's degree in Data Analysis, Statistics, or related areas
Work EnvironmentResearch labs, academic institutions, or R&D departments within companiesBusiness environments, corporate offices, or consulting firms
Employer & Industry UsageUniversities, research institutions, tech companies focusing on innovationRetail, finance, healthcare, and other industries focusing on data-driven decision making

Data Science Research focuses on developing new algorithms, models, and theories, often in academic or R&D settings. In contrast, Data Analysts primarily interpret existing data to generate reports and insights for business decisions. Both roles require strong analytical skills but differ in scope, goals, and work environment.

What do data science researchers do?

Data science researchers analyze large datasets to identify patterns, develop models, and generate insights that inform decision-making. They often use programming languages like Python or R, and tools such as machine learning algorithms and statistical methods. Their work typically involves experimentation, data cleaning, and collaboration with other teams to solve complex problems.

What are the most commonly searched types of Data Science Research jobs in Houston, TX?

The most popular types of Data Science Research jobs in Houston, TX are:

What are popular job titles related to Data Science Research jobs in Houston, TX?

For Data Science Research jobs in Houston, TX, the most frequently searched job titles are:

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

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

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

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

Data Science Research jobs near you
Infographic showing various Data Science Research 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 $117,212 per year, or $56.4 per hour.

Data Scientist Strategic Data Intelligence

Houston Independent School District

Houston, TX • On-site

Full-time

Re-posted 23 days ago

Houston Independent School District rating

5.3

Company rating: 5.3 out of 10

Based on 32 frontline employees who took The Breakroom Quiz

546th of 640 rated elementary and secondary schools

Job description


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Job Description
The Senior Data Scientist - Strategic Data Intelligence leads advanced analytics initiatives that inform strategic planning, equity initiatives, forecasting, and resource allocation across both instructional and operational domains. This role builds predictive models, simulations, and complex analyses using data from student systems (SIS, LMS, SPED) and enterprise systems (finance, HR, procurement). The Senior Data Scientist works closely with senior leaders and analysts to deliver evidence-based insights that shape district policies and performance outcomes.
Responsibilities
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Responsibilities
  1. Design and implement predictive models and machine learning algorithms for student outcomes, budgeting, staffing, and resource planning.
  2. Analyze districtwide data to support equity tracking, chronic absenteeism, enrollment forecasting, and SPED identification trends.
  3. Integrate data from Microsoft Fabric, SIS, ERP, and external datasets to answer complex research questions.
  4. Develop simulations and decision support tools to guide executive and board-level planning.
  5. Present findings using compelling visuals and narratives tailored to non-technical audiences.
  6. Partner with academics, operations, and finance to align data insights with real-world decisions.
  7. Maintain reproducible research workflows and ensure compliance with data governance policies.
  8. Collaborate with data architects and engineers to ensure model-ready datasets are accurate and current.
  9. Mentor analysts and support the expansion of data fluency across departments.
  10. Other duties as assigned.

Qualifications
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Job Qualifications
EDUCATION
A Master's degree in data science, statistics, applied mathematics, economics, or a related field is preferred. Alternatively, a Bachelor's degree plus relevant work experience is acceptable. Applicants who do not meet these education qualifications may be considered if they have a unique combination of education and work experiences that indicate potential for success in this role.
WORK EXPERIENCE
Minimum of 6 years in data science, research, or applied analytics roles. Experience in public education, government, or nonprofit analytics preferred.
TYPE OF SKILL AND/OR REQUIRED LICENSING/CERTIFICATION
Software Certifications/Licensure Equipment Other Items Expert proficiency in Python, R, SQL, and Power BI Strong statistical and machine learning skills (e.g., regression, classification, time series, clustering) Familiarity with education data structures and public sector decision-making Data storytelling and visualization expertise
LEADERSHIP RESPONSIBILITIES
-Serves as senior technical leader within the Data Intelligence Office. May lead projects and mentor junior analysts.
WORK COMPLEXITY/INDEPENDENT JUDGMENT
-Manages high-impact modeling projects with districtwide consequences. Applies independent professional judgment to determine methods and interpret results.
BUDGET AUTHORITY
-None. May advise on data tools, modeling platforms, and external datasets.
PROBLEM SOLVING
-Translates strategic questions into analytical models. Identifies data issues and proposes data-informed solutions.
IMPACT OF DECISIONS
-Models influence district investment decisions, student support strategies, and strategic planning efforts.
COMMUNICATION/INTERACTIONS
-Collaborates with department leads, executive staff, and board advisors. Presents findings to senior leadership and external partners.
CUSTOMER RELATIONSHIPS
-Provides critical insight and foresight to HISD leadership teams. Builds stakeholder trust through actionable, validated analytics.
WORKING/ENVIRONMENTAL CONDITIONS
-Office environment. May work extended hours during major board cycles or forecasting updates, hybrid setting available.

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