Senior Data Scientist GenAI / RAG

Compunnel, Inc.; Houston (TX); On-site; USD 120,000 - 150,000; Full time

Job summary

Compunnel, Inc. is seeking a Senior Data Scientist in Houston, Texas. This position requires a strong background in Machine Learning and Deep Learning, with a focus on developing and deploying AI-powered applications, including Generative AI solutions.

The ideal candidate will have over 10 years of experience, collaborating with cross-functional teams to design and implement machine learning algorithms while mentoring junior team members. This role offers opportunities to work with modern AI technologies and contribute to enterprise solutions.

Qualifications

• 10+ years of experience in Data Science or related technical fields.
• Strong experience in Machine Learning and Deep Learning.
• Hands-on with Generative AI technologies and RAG systems.
• Experience with machine learning frameworks and SQL.

Responsibilities

• Develop AI-powered applications and predictive models.
• Collaborate with product managers and engineers.
• Design and implement machine learning algorithms.
• Mentor junior data scientists.

Skills

Machine Learning

Deep Learning

Python

R

Statistical Analysis

Data Modeling

SQL

AWS Cloud

Hadoop

Spark

Education

Master's or Ph.D. in Computer Science, Statistics, Mathematics

Tools

TensorFlow

PyTorch

Scikit-learn

Snowflake

Job description

We are seeking a Senior Data Scientist with a strong background in traditional Machine Learning, Deep Learning, and hands‑on experience building enterprise Generative AI solutions. This role is responsible for developing and deploying AI-powered applications, Retrieval-Augmented Generation (RAG) systems, predictive models, and data-driven solutions that solve complex business problems. The ideal candidate will collaborate with cross-functional teams, interact directly with customers, and leverage modern AI technologies to deliver scalable enterprise solutions.

Key Responsibilities

• Build, deploy, and optimize Retrieval-Augmented Generation (RAG) systems and AI-powered chat interfaces.
• Develop enterprise Generative AI solutions using Large Language Models (LLMs) and related technologies.
• Design, develop, and implement machine learning algorithms to solve complex business problems.
• Analyze large and complex datasets to generate actionable insights and support data-driven decision-making.
• Build predictive models and statistical solutions to improve enterprise products and business outcomes.
• Collaborate with client data science teams across Machine Learning and Deep Learning ecosystems.
• Work closely with product managers, engineers, and business stakeholders to integrate AI and data science solutions into enterprise products.
• Develop and deploy machine learning models for production environments.
• Perform feature engineering, data preparation, and model optimization.
• Build enterprise knowledge solutions using Generative AI technologies.
• Work with structured and unstructured datasets to extract meaningful insights.
• Collaborate directly with customers and stakeholders to understand business requirements and recommend AI-driven solutions.
• Communicate technical findings and recommendations effectively to both technical and non-technical audiences.
• Mentor junior data scientists and contribute to knowledge sharing across the team.
• Stay current with advancements in Machine Learning, Deep Learning, Generative AI, and data science technologies.
• Support continuous improvement initiatives by evaluating emerging AI frameworks, tools, and best practices.

Required Qualifications

• Overall 10+ years of professional experience in Data Science, Machine Learning, Artificial Intelligence, or related technical fields.
• Strong experience in Machine Learning (ML) and Deep Learning (DL).
• Hands‑on experience with Generative AI technologies, including Large Language Models (LLMs) and Retrieval-Augmented Generation (RAG) systems.
• Experience developing enterprise AI and machine learning solutions.
• Strong proficiency in Python or R.
• Experience with machine learning frameworks such as TensorFlow, PyTorch, or Scikit-learn.
• Strong understanding of statistical analysis, predictive modeling, and data modeling techniques.
• Experience working with SQL and querying large datasets.
• Familiarity with big data technologies such as Hadoop, Spark, or similar platforms.
• Experience working within AWS cloud environments.
• Experience working with Snowflake or similar enterprise data platforms.
• Strong analytical, problem‑solving, and critical‑thinking skills.
• Excellent communication, collaboration, stakeholder management, and client‑facing skills.
• Ability to work effectively with cross‑functional teams in an enterprise environment.

Preferred Qualifications

• Exposure to Agentic AI and Agent APIs.
• Experience with Claude, Anthropic, or similar Generative AI development platforms.
• Domain experience within the Oil & Gas or Energy industry.
• Master's or Ph.D. in Computer Science, Statistics, Mathematics, or a related quantitative field.
• Experience working with enterprise software products.
• Understanding of cloud platforms such as AWS, Microsoft Azure, or Google Cloud Platform.