Senior Data Scientist - GenAI / RAG (FTE)

Location: Houston, TX (Onsite - 5 Days/Week)
Employment Type: Full-Time (Permanent)
Compensation: Up to $140,000 per annum (Open to Negotiation)

About the Client

Our client is a leading digital engineering and technology services company delivering enterprise AI and data solutions to customers in the Oil & Gas and Energy sector. This is a full-time opportunity directly with our client and not with the end customer.

Industry Preference

Candidates with experience in the Oil & Gas / Energy sector are highly preferred.

Examples of relevant companies:

• Halliburton
• Mu Sigma
• Mindtree

Interview Process

• Three rounds of internal technical interviews.
• One mandatory face-to-face interview.
• No client round as of now.

Position Overview

We are looking for a Senior Data Scientist with a strong traditional Machine Learning/Data Science background and hands-on experience in GenAI (LLMs, RAGs, and 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.

The selected candidate will join our client//'s Enterprise Products and AI practice and work on GenAI and RAG-based solutions for customers in the Oil & Gas and Energy sector.

Key Responsibilities

• Build and deploy RAG (Retrieval-Augmented Generation) systems and 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.
• 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.

Mandatory Skills

Strong Experience In:

• Machine Learning (ML)
• Deep Learning (DL)

Hands-On Experience With:

• Generative AI (LLMs, RAG systems)

Exposure To:

• Claude/Anthropic-based development or similar GenAI tools.

Additional Requirements:

• Strong communication and client-facing capabilities.

Good to Have

Basic Exposure To:

• Agentic AI
• Agent APIs

Domain Experience In:

• Oil & Gas / Energy sector.

Technical Environment

• AWS ecosystem
• Snowflake (Data Platform)

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

• Master//'s or Ph.D. in Computer Science, Statistics, Mathematics, or a related field.
• Experience in the technology 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, 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

• 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 such as 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.