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Artificial Intelligence Data Scientist Jobs in Spring, TX

Mindlance

Data Scientist

Houston, TX · On-site

They are seeking a Data Scientist with extensive experience in data mining, artificial intelligence, and machine learning to apply advanced analytics in business contexts. Qualifications : Required ...

Mindlance

Data Scientist

Houston, TX · On-site

Required : • Minimum 8 years of relevant experience in applying data mining, artificial intelligence, signal processing, machine learning, optimization etc. in business analytics or scientific ...

Covestro

Senior Artificial Intelligence Engineer

Baytown, TX · Hybrid

$95K - $130K/yr

The Senior Artificial Intelligence (AI) Engineer designs, develops, and deploys artificial ... Working closely with data science teams, the Senior AI Engineer transforms innovative concepts into ...

MD Anderson Center

Senior Data Scientist

Houston, TX · On-site

... data science, artificial intelligence, machine learning, analytics, or computational tools within healthcare or clinical environments. Minimum $123,000 - Midpoint $154,000 - Maximum $185,000 Work ...

New

MD Anderson

Senior Data Scientist

Houston, TX · Hybrid

... data science, artificial intelligence, machine learning, analytics, or computational tools within healthcare or clinical environments. Minimum $123,000 - Midpoint $154,000 - Maximum $185,000 Work ...

New

MD Anderson

Senior Data Scientist

Houston, TX · Hybrid

$123K/yr

... data science, artificial intelligence, machine learning, analytics, or computational tools within healthcare or clinical environments. Minimum $123,000 - Midpoint $154,000 - Maximum $185,000 Work ...

New

Hp

AI Data Scientist - Enterprise AI

Spring, TX

$130K - $205K/yr

Bachelor's, Master's, or PhD in Computer Science, Data Science, Machine Learning, Artificial Intelligence, Statistics, Engineering, Mathematics, or a related field. * 3+ years of experience ...

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All JobsArtificial Intelligence Data Scientist JobsArtificial Intelligence Data Scientist Jobs in Spring, TX

Artificial Intelligence Data Scientist information

See Spring, TX salary details

$34.5K

$113K

$180.9K

How much do artificial intelligence data scientist jobs pay per year?

As of Aug 9, 2026, the average yearly pay for artificial intelligence data scientist in Spring, TX is $113,016.00, according to ZipRecruiter salary data. Most workers in this role earn between $90,700.00 and $125,200.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as an artificial intelligence data scientist?

To thrive as an Artificial Intelligence Data Scientist, you need strong expertise in statistics, machine learning, data analysis, and programming, typically supported by a degree in computer science, mathematics, or a related field. Familiarity with tools and frameworks such as Python, TensorFlow, PyTorch, and cloud platforms, along with certifications like TensorFlow Developer or Microsoft Certified: Azure AI Engineer Associate, is highly valuable. Critical thinking, problem-solving, and strong communication skills help you translate complex data findings into actionable business strategies and work effectively with cross-functional teams. These competencies ensure accurate model development, impactful AI solutions, and effective collaboration in a rapidly evolving technology landscape.

What is the difference between Artificial Intelligence Data Scientist vs Machine Learning Engineer?

AspectArtificial Intelligence Data ScientistMachine Learning Engineer
CredentialsDegree in Data Science, AI, or related fields; certifications in data analysis and AI toolsDegree in Computer Science, Software Engineering, or related fields; certifications in ML frameworks
Work EnvironmentResearch-focused, data analysis, model development, often in collaborative teamsSoftware development, deploying ML models into production, often in engineering teams
Industry UsageTech, finance, healthcare, research institutionsTech companies, startups, industries requiring scalable ML solutions
Common Search IntentUnderstanding AI data analysis roles, data modeling, research tasksImplementing and deploying ML models, software engineering tasks

While both roles involve machine learning and AI, Artificial Intelligence Data Scientists focus on analyzing data, developing models, and research, whereas Machine Learning Engineers primarily build, deploy, and maintain scalable ML systems in production environments.

How do artificial intelligence data scientists typically collaborate with software engineers and domain experts on projects?

Artificial Intelligence Data Scientists often work closely with software engineers to integrate machine learning models into production systems, ensuring that data pipelines and algorithms are robust and scalable. They also collaborate with domain experts to better understand the business context, define problem statements, and interpret model results. This cross-functional teamwork is crucial for developing effective AI solutions that address real-world challenges and deliver value to the organization.

What is an artificial intelligence data scientist?

An Artificial Intelligence Data Scientist is a professional who uses advanced analytics, machine learning, and statistical methods to interpret complex data, build predictive models, and develop AI-driven solutions. They work with large datasets to extract valuable insights and help organizations make data-driven decisions. Their responsibilities often include data preprocessing, feature engineering, algorithm selection, model training and evaluation, and communicating results to stakeholders. AI Data Scientists typically have strong programming skills (such as Python or R), knowledge of statistics, and experience with machine learning frameworks.
What are popular job titles related to Artificial Intelligence Data Scientist jobs in Spring, TX? For Artificial Intelligence Data Scientist jobs in Spring, TX, the most frequently searched job titles are:
What job categories do people searching Artificial Intelligence Data Scientist jobs in Spring, TX look for? The top searched job categories for Artificial Intelligence Data Scientist jobs in Spring, TX are:
What cities near Spring, TX are hiring for Artificial Intelligence Data Scientist jobs? Cities near Spring, TX with the most Artificial Intelligence Data Scientist job openings:
Artificial Intelligence Data Scientist jobs near you
Infographic showing various Artificial Intelligence Data Scientist job openings in Spring, TX as of August 2026, with employment types broken down into 1% As Needed, 80% Full Time, 14% Part Time, and 5% Contract. Highlights an 85% Physical, 5% Hybrid, and 10% Remote job distribution, with an average salary of $113,016 per year, or $54.3 per hour.

Data Scientist Strategic Data Intelligence

Houston Independent School District

Houston, TX • On-site

Full-time

Re-posted 26 days ago

Houston Independent School District rating

5.4

Company rating: 5.4 out of 10

Based on 31 frontline employees who took The Breakroom Quiz

524th of 627 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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