Senior Data Scientist – GenAI / RAG

About the Role

We are seeking a full-time Senior Data Scientist with 7–15 years of experience to join our Enterprise Products team in Houston, Texas. This role requires a strong background in traditional machine learning (ML) and data science, along with hands-on experience in generative AI, including large language models (LLMs), retrieval-augmented generation (RAG), and agentic workflows. The ideal candidate has practical implementation experience, strong communication skills, and the ability to work confidently with customers and product teams.

You will use advanced analytical techniques and machine learning methods to derive actionable insights from complex datasets, develop predictive models, identify trends, and collaborate with cross-functional teams to implement data-driven solutions that enhance our enterprise product offerings.

About the Team

You will join a team of data scientists, analysts, and product managers creating solutions for enterprise clients. The team collaborates across disciplines and fosters continuous learning and knowledge sharing to keep up with industry developments.

Responsibilities

• Develop, implement, and deploy machine learning algorithms and models to solve business problems.
• Analyze large datasets to generate actionable insights and inform data-driven decisions.
• Collaborate with product managers, engineers, and cross-functional teams to integrate data science solutions into enterprise products and services.
• Communicate findings and recommendations effectively to technical and non-technical stakeholders.
• Stay current with developments in data science and machine learning.
• Mentor and guide junior data scientists, fostering a collaborative environment.

Qualifications

Required

• Hands-on experience with generative AI, including LLMs, RAG, and agentic workflows.
• Proficiency in Python or R, including data manipulation libraries.
• Experience with machine learning frameworks such as TensorFlow, PyTorch, or Scikit-learn.
• Solid understanding of statistical analysis techniques and data modeling.
• Experience with big data technologies such as Hadoop, Spark, or similar platforms.
• Ability to work with databases and query large datasets using SQL.
• Proficiency with data visualization tools such as Tableau or Power BI.
• Strong problem-solving and critical-thinking skills.
• Strong communication, collaboration, and product-facing skills, including the ability to explain complex findings to technical and non-technical stakeholders.
• A degree in a quantitative field such as computer science, statistics, mathematics, or a related discipline.

Preferred

• A master’s degree or Ph.D. in computer science, statistics, mathematics, or a related field.
• Experience in the technology industry or with enterprise software products.
• Familiarity with cloud platforms such as AWS, Azure, or Google Cloud.