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Senior Data Science Analytics Jobs in Houston, TX

YO AI Labs

Senior Data Scientist-Gen AI/RAG

Houston, TX · Hybrid

Analyze large datasets to generate insights and inform decision-making processes. * Collaborate ... Stay current with the latest advancements in data science and machine learning technologies. Skills ...

New

YO AI Labs

Senior Data Scientist-Gen AI/RAG

Houston, TX · On-site

$140 - $210/hr

Analyze large datasets to generate insights and inform decision-making processes. * Collaborate ... Stay current with the latest advancements in data science and machine learning technologies. Skills ...

New

W3Global

Senior Data Scientist

Houston, TX · On-site

Senior Data Scientist - GenAI / RAG Location: Houston, TX (Onsite - 5 Days) Type: Full-Time We are ... data science teams (ML/DL ecosystems) Develop GenAI-based enterprise knowledge solutions ...

WorkNovas LLC

Senior Data Scientist

Houston, TX · On-site

Next to the data science capabilities and experiences you should be able to clearly and effectively ... Documenting and explaining the results of analysis or modelling to both a technical and non ...

Lennar

Sr Data Scientist, People Analytics

Houston, TX · On-site

This is a newly created position and the first dedicated data science role on the People Analytics ... senior leadership. You'll work closely with HR COEs and hands-on with Workday and other people ...

NAVA Software Solutions

Sr Data Developer

Houston, TX · On-site

Senior Data Developer Location: Houston TX - 2 days/week hybrid Type: Full time/Direct Hire As the ... analytics * Leverage tools for DataOps (CI/CD) Requirements * Bachelor's degree in Computer Science ...

PureWay Compliance, Inc

Senior Data Analyst

Katy, TX · On-site

$90K - $100K/yr

We are seeking a highly analytical Senior Data Analyst to transform complex business data into ... Bachelor's degree in Data Analytics, Statistics, Business Analytics, Computer Science, Mathematics ...

Munich Re

Data Scientist

Houston, TX · On-site +1

... science/predictive analytics experience in (re)insurance or 4 or more years predictive modeling experience in another industry. * Sr. Data Scientist: 4 or more years of data science/predictive ...

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Senior Data Science Analytics information

See Houston, TX salary details

$39.6K

$136K

$191.9K

How much do senior data science analytics jobs pay per year?

As of Sep 6, 2026, the average yearly pay for senior data science analytics in Houston, TX is $136,046.00, according to ZipRecruiter salary data. Most workers in this role earn between $113,200.00 and $159,000.00 per year, depending on experience, location, and employer.

What is the difference between Senior Data Science Analytics vs Data Analyst?

AspectSenior Data Science AnalyticsData Analyst
Required CredentialsBachelor's/Master's in Data Science, Statistics, or related fields; often requires experience in machine learningBachelor's degree in Data, Statistics, or related fields; often entry-level or junior roles
Work EnvironmentAdvanced analytics, predictive modeling, machine learning projectsData cleaning, reporting, basic analysis
Employer & Industry UsageTech companies, finance, healthcare, consulting firmsRetail, marketing, small businesses, entry-level roles across industries

Senior Data Science Analytics professionals focus on complex modeling and predictive analytics, often requiring advanced skills and experience. Data Analysts typically handle data collection, cleaning, and basic reporting. While both roles work with data, Senior Data Science Analytics roles involve more technical expertise and strategic insights, making them suitable for experienced professionals in data-driven industries.

Senior Data Science Analytics jobs near you

65503 Senior Data Scientist - GenAI / RAG

Cephas Consultancy Services Private Limited

Houston, TX • On-site

$140 - $190/hr

Other

Posted 7 days ago

Job description

65503 Senior Data Scientist – GenAI / RAG

Cephas Consultancy Services Private Limited
Houston, Texas, United States

About this position

Positions:1 Full Time
Experience
7 - 15 Years

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).
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.
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