Senior Data Scientist

Insight Global; Houston (TX); Hybrid; USD 82,656 - 103,320; Full time

Benefits offered by this job

Medical insurance

Dental insurance

Vision insurance

HSA/FSA/DCFSA options

401k with employer matching

Paid time off

Job summary

Insight Global in Houston is seeking a senior-level Data Scientist to join a hybrid team, onsite 3 days in Houston, TX. The role requires 7+ years in Data Science, strong statistical modeling, and Python/SQL, with experience expanding into GenAI, LLMs, and AI agents.

You will build and own predictive engines, analyze large datasets, and translate analytics into actionable business decisions for operations and planning.

Qualifications

• 7+ years of experience in Data Science, Advanced Analytics, or ML.
• Strong background in statistical modeling, forecasting, regression, or optimization.
• Proficient in Python; able to access/manipulate data in SQL/NoSQL.
• Experience with GenAI, LLMs, RAG, agents, or related AI frameworks.
• Familiarity with LangChain, LangGraph, or Semantic Kernel.

Responsibilities

• Build, enhance, and maintain predictive and prescriptive models.
• Analyze large datasets and derive actionable business recommendations.
• Ensure data is mined, cleansed, and engineered for models.
• Own models within a predictive/prescriptive engine.
• Integrate AI-enabled solutions using GenAI, LLMs, and intelligent agents.
• Validate model performance and communicate insights to stakeholders.

Skills

Python

SQL/NoSQL

Statistical modeling

Machine learning

GenAI/LLMs

AI agents

Tools

LangChain

LangGraph

Semantic Kernel

Job description

• HYBRID! Must be willing to work ONSITE 3 DAYS in Houston, TX 77077
• Seeking 7+ years in Data Science, Advanced Analytics + Machine Learning/ GenAI

READ BELOW BEFORE APPLYING!

SUMMARY:

Our client is looking for a senior-level Data Scientist with strong statistical modeling, Python/SQL, and machine learning fundamentals who has recently expanded into GenAI, LLMs, RAG, and agent-based systems. This role will contribute to building (and eventually grow to own) one of their new AI decision-making platforms that will help the business make smarter decisions around operations, forecasting, optimization, and automation.

Key Responsibilities:

• Build, enhance, and maintain predictive and prescriptive models.
• Analyze large datasets and develop actionable business recommendations.
• Ensure the data mined, cleansed, and engineered for models is accurate and appropriate.
• Own models associated with one of the organization's predictive/prescriptive engines.
• Integrate AI-enabled solutions leveraging Generative AI, Large Language Models (LLMs), and intelligent agents to enhance predictive and prescriptive decision-making.
• Validate model performance and communicate insights to technical and non-technical audiences.

REQUIRED SKILLS:

• 7+ years of experience in Data Science, Advanced Analytics, or Machine Learning.
• Experience with statistical modeling, forecasting, regression analysis, machine learning, or optimization techniques.
• Proficiency with scientific scripting languages (e.g., Python)
• Experience accessing and manipulating data in SQL or NoSQL database
• Knowledge of Bayesian statistics, regression analysis (beyond linear regression), supervised learning, unsupervised learning, or time-series analysis.
• Exposure to Generative AI, LLMs, RAG architectures, AI agents, or related AI frameworks.
• Familiarity with tools such as LangChain, LangGraph, or Semantic Kernel or similar technologies.

Compensation: $60hr to $75hr.

Exact compensation will vary based on several factors, including skills, experience, and education.

Benefit packages for this role will start on the 1st day of employment and include medical, dental, and vision insurance, as well as HSA, FSA, and DCFSA account options, and 401k retirement account access with employer matching. Employees in this role are also entitled to paid sick leave and/or other paid time off as provided by applicable law.