Senior GEN AI Data Scientist

It's fun to work in a company where people truly BELIEVE in what they are doing!

We're committed to bringing passion and customer focus to the business.

Fractal Analytics is a strategic AI partner to Fortune 500 companies with a vision to power every human decision in the enterprise. Fractal is building a world where individual choices, freedom, and diversity are the greatest assets. An ecosystem where human imagination is at the heart of every decision. Where no possibility is written off, only challenged to get better. We believe that a true Fractalite empowers imagination with intelligence. And that it will be such Fractalites that will continue to build the company for the next 100 years.

Please visit Fractal | Intelligence for Imagination for more information about Fractal.

Senior GenAI Data Scientist

Remote

Job Summary

The role involves designing, developing, and deploying advanced Machine Learning and Generative AI solutions to derive insights from large-scale, fragmented, and unstructured data. The position focuses on building robust Python-based data pipelines, applying state-of-the-art techniques such as Retrieval-Augmented Generation (RAG), Large Language Model (LLM) fine-tuning, and embedding optimization, and ensuring scalable deployment on Azure using MLOps best practices. The role requires close collaboration with engineering teams to productionize, monitor, and continuously improve models through experimentation, A/B testing, and metrics-driven iterations, ultimately delivering reliable and high-impact AI solutions.

Job Description

• Research, design, and implement ML and GenAI solutions for fragmented, large-scale, and unstructured datasets.
• Develop data pipelines and workflows in Python for ingestion, transformation, and feature engineering.
• Apply advanced techniques like RAG, LLM fine-tuning, and embedding optimization for improved performance.
• Work with large databases, data warehouses, and integrate across multiple sources with ambiguity handling.
• Deploy models using Azure, ensuring scalability and governance with MLOps best practices.
• Conduct experimentation and A/B testing to validate hypotheses and optimize outcomes.
• Collaborate with engineering teams for productionization and monitoring of models.
• Drive continuous improvement through metrics-driven insights and iterative refinements.

Pay:

The wage range for this role considers the wide range of factors that are considered in making compensation decisions including but not limited to skill sets; experience and training; licensure and certifications; and other business and organizational needs.  At Fractal, it is not typical for an individual to be hired at or near the top of the range for their role and compensation decisions are dependent on the facts and circumstances of each case.  A reasonable estimate of the current range is: $120,000 - $140,000. You are also, eligible for discretionary annual bonus.

Benefits:

As a full-time employee of the company or as an hourly employee working more than 30 hours per week, you will be eligible to participate in the health, dental, vision, life insurance, and disability plans in accordance with the plan documents, which may be amended from time to time.  You will be eligible for benefits on the first day of employment with the Company.  In addition, you are eligible to participate in the Company 401(k) Plan after 30 days of employment, in accordance with the applicable plan terms.   The Company provides for 11 paid holidays and 12 weeks of Parental Leave. We also follow a “free time” PTO policy, allowing you the flexibility to take time needed for either sick time or vacation.

Fractal provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws. 

If you like wild growth and working with happy, enthusiastic over-achievers, you'll enjoy your career with us!

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