Top 887 Data scientist Jobs in Texas

Data Scientist
Tavant Technologies, Inc. —Houston, TX
- $115,335.94 - $138,899.19 a year
- Full-time
- Background check
- Azure
- Computer Science
- Dental insurance
- 401(k)
Quick Apply
Senior Data Scientist
Brooksource —Houston, TX
- $70 - $80 an hour
- Contract
- 7 years
- SQL
- Mentoring
- Health savings account
- Paid holidays
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Lead AI Engineer
Tavant Technologies, Inc. —Plano, TX
- $130,000 - $160,000 a year
- Full-time
- Computer Science
- Research
- Java
- Relocation assistance
- Health insurance
Quick Apply
Kaspar Companies: AI Specialist
Kaspar Companies —Shiner, TX
- Full-time
- Computer Science
- Mid-level
- Office
- Profit sharing
- Health insurance
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Marketing Data Scientist - AI Trainer
DataAnnotation —Farmers Branch, TX
- $50 - $100 an hour
- Part-time
- Remote
- Computer Science
- Writing skills
- English
- Flexible schedule
Quick Apply
Data Scientist
Visa Technology and Operations LLC —Austin, TX
- $123,700 - $191,300 a year
- Full-time
- Hybrid work
- Computer Science
- Research
- Mid-level
- Wellness program
- Health savings account
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1d
Entry Level Data Scientist
AAA Texas LLC —Coppell, TX
- Computer Science
- Office
- SQL
- Paid parental leave
- Health insurance
Data Scientist
Allruva Technology Services —Irving, TX
- Contract
- Computer Science
- Mid-level
- Master's degree
Data Scientist
CCS INC —Plano, TX
- $62 - $67 an hour
- Full-time
- Doctoral degree
- Master's degree
- SQL
- Health insurance
- Dental insurance
Quick Apply
Data Scientist
Kemper Insurance —Dallas, TX
- $93,500 - $155,200 a year
- Urgently hiring
- Hybrid work
- Mid-level
- Office
- AWS
- Health insurance
- Dental insurance
Quick Apply
Marketing Data Scientist - AI Trainer
DataAnnotation —Addison, TX
- $50 - $100 an hour
- Part-time
- Remote
- Computer Science
- English
- Mid-level
- Flexible schedule
Quick Apply
Machine Learning Engineer
CACI —San Antonio, TX
- $93,500 - $196,500 a year
- Full-time
- Master's degree
- Travel
- Mentoring
- Health insurance
Python Engineer - Assistant Vice President
Citi —Irving, TX
- $107,120 - $160,680 a year
- Full-time
- Computer science
- Azure
- Computer Science
- Paid holidays
- Disability insurance
Applied AI Engineer
MiView Integrated Solutions —Carrollton, TX
- $110,000 - $130,000 a year
- Full-time
- Azure
- Mid-level
- Office
- Health insurance
- Dental insurance
Quick Apply
Artificial Intelligence Engineer III
Insperity Services, L.P. —Kingwood, TX
- Full-time
- Computer Science
- 5 years
- System design
- Health insurance
- Dental insurance
Data Scientist
Select Minds LLC —Dallas, TX
- $65 - $75 an hour
- Full-time
- Hybrid work
- Azure
- 6 years
- Computer Science
- Opportunities for advancement
Quick Apply
Data Scientist
Hewlett Packard Enterprise —Spring, TX
- $71,500 - $164,400 a year
- Full-time
- Computer science
- Computer Science
- Mid-level
Data Scientist
Credit Union of Texas —Allen, TX
- Computer Science
- Mid-level
- Office
Quick Apply
Data Scientist
Capgemini —Houston, TX
- $53.16 - $83.07 an hour
- Contract
- Hybrid work
- APIs
- Fair chance
- Senior level
- Health insurance
- Dental insurance
Data Scientist
Auto-Fit Inc —Houston, TX
- Full-time
- Oracle
- Computer Science
- Mid-level
- Paid holidays
- Disability insurance

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Data Scientist

Tavant Technologies, Inc. -
Houston, TX

Quick Apply

Job Details

Full-time
$115,335.94 - $138,899.19 a year

Benefits

Dental insurance
401(k)
Parental leave
Employee assistance program

Qualifications

AI models
Data model design
Data scientist experience
Data modeling
Data visualization software proficiency
Cloud data warehouses
Software implementation
Generative models
Big data systems
AI platforms (beyond public GPTs)
Computational framework
Business consulting
Master's degree
Machine learning cloud services
Business intelligence tools
Machine intelligence
Model deployment
Developing large-scale AI models
Natural language processing
Query management
Machine learning frameworks
Data visualization projects
Project stakeholder communication
Generative AI
Cross-functional communication
Data analysis software

Full Job Description

Focus: We need a person with real hands-on experience in Agentic AI and Traditional Data Science, not candidates who have only recently started exploring GenAI/LLMs. Continuous production implementation experience is preferred.

What the Hiring Team is Looking For

Traditional Data Scientists who have evolved into GenAI/Agentic AI solutions.
Candidates who can discuss end-to-end problem solving, feature engineering, predictive analytics, model selection, and solution design.
Hands-on experience designing and implementing RAG, LLM, and Agentic AI solutions.
Strong understanding of business use cases and ability to interact with customers and stakeholders.
Ability to explain architecture decisions, technical trade-offs, and implementation approaches.

Mandatory Skills

Strong Data Science background
Strong Machine Learning implementation experience
Hands-on LLM & RAG architecture and implementation
Experience with Agentic AI concepts and workflows
Strong client-facing / consulting and stakeholder communication skills
Exposure to Deep Learning concepts and implementations
Experience with cloud AI platforms such as AWS Bedrock, Azure OpenAI, or Vertex AI

Job Description

Strong hands-on experience in Agentic AI and Multi-Agent Systems

Experience with LangGraph, LangChain, MCP (Model Context Protocol), tool calling, agent orchestration

Strong RAG implementation experience including Vector Databases, Hybrid Retrieval, Reranking, Knowledge Graphs

Hands-on experience with AWS Bedrock and enterprise GenAI solutions

Strong Python and SQL skills

Solid Traditional Data Science / Machine Learning background:

Classification
Regression
Forecasting
Anomaly Detection
Feature Engineering
Model Evaluation

Experience with XGBoost, CatBoost, Random Forest, Deep Learning frameworks (PyTorch/TensorFlow)

Experience designing and deploying production AI/ML systems

Understanding of MLOps / LLMOps, model monitoring, evaluation, observability, and retraining pipelines

Ability to translate business problems into ML or Agentic AI solutions

Experience with LLM Evaluation, Hallucination Detection, Groundedness and Retrieval Quality metrics

Exposure to Databricks, Spark, Vector Databases, APIs, Cloud Platforms (AWS preferred)

Key Responsibilities

Build and deploy RAG (Retrieval-Augmented Generation) systems & AI chat interfaces
Work closely with client data science teams (ML/DL ecosystems)
Develop GenAI-based enterprise knowledge solutions
Collaborate directly with stakeholders and customers

Tech Environment

AWS ecosystem
Snowflake (data platform)

We are looking for a Senior Data Scientist with a strong traditional ML/DS background and hands-on experience in GenAI (LLMs, RAGs, Agentic workflows). The candidate should not be purely academic or junior; we need someone with practical implementation experience and the ability to interact confidently with customers. Strong communication and product-facing exposure are equally important.

Tavant Technologies is seeking a Senior Data Scientist for our Enterprise Products team. In this role, you will leverage advanced analytical techniques and machine learning methods to derive actionable insights from complex datasets. Your primary responsibilities will include developing predictive models, analyzing data to identify trends, and collaborating with cross-functional teams to implement data-driven solutions that enhance our enterprise product offerings.

Key Responsibilities:

- Develop and implement machine learning algorithms to solve complex business problems.
- Analyze large datasets to generate insights and inform decision-making processes.
- Collaborate with product managers and engineers to integrate data science solutions into enterprise products.
- Communicate findings and recommendations effectively to technical and non-technical stakeholders.
- Stay current with the latest advancements in data science and machine learning technologies.

Skills and Tools Required:

- Strong proficiency in programming languages such as Python or R.
- Experience with machine learning frameworks (e.g., TensorFlow, PyTorch, Scikit-learn).
- Solid understanding of statistical analysis techniques and data modeling.
- Proficiency in data visualization tools (e.g., Tableau, Power BI).
- Familiarity with big data technologies (e.g., Hadoop, Spark).
- Ability to work with databases and query large datasets using SQL.
- Strong problem-solving skills and the ability to think critically.
- Excellent communication and collaboration skills.

Preferred Qualifications:

- A master's or Ph.D. in computer science, statistics, mathematics, or a related field.
- Experience in the tech industry or with enterprise-level software products.
- Understanding of cloud computing platforms (e.g., AWS, Azure, Google Cloud).

Roles & Responsibilities

About the Role:
As a Senior Data Scientist in Enterprise Products at Tavant Technologies, you will utilize advanced analytical techniques to drive insights from large datasets. Your role will involve building predictive models and enhancing data-driven decision-making processes within the organization. You will collaborate with various teams to identify opportunities for leveraging data to optimize products and services.

About the Team:
You will be part of a dynamic team of data scientists, analysts, and product managers dedicated to creating innovative solutions for enterprise-level clients. The team thrives on collaboration, leveraging diverse expertise to tackle complex challenges. A culture of continuous learning and knowledge sharing is fostered, allowing team members to stay up-to-date with the latest industry trends and technologies.

You are Responsible for:
Developing and deploying machine learning models to solve business problems.
Analyzing complex datasets to extract actionable insights that contribute to product development.
Collaborating with cross-functional teams to integrate data science solutions into existing products and services.
Providing mentorship and guidance to junior data scientists and fostering a collaborative environment.

To succeed in this role – you should have the following:
Strong experience in machine learning algorithms and statistical modeling techniques.
Proficiency in programming languages such as Python or R, along with data manipulation libraries.
Experience with big data technologies like Hadoop, Spark, or similar platforms.
Excellent analytical skills with the ability to communicate complex findings to non-technical stakeholders.
A degree in a quantitative field, such as Computer Science, Statistics, Mathematics, or related disciplines.

Pay: $115,335.94 - $138,899.19 per year

Benefits:

401(k)
Dental insurance
Employee assistance program
Parental leave

Work Location: In person

Quick Apply

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