Data Scientist I

Avathon, Inc

Position Title: Data Scientist I

Who We Are & Why Join Us

Avathon is revolutionizing industrial AI with a powerful platform that enables businesses to harness the full potential of their operational data. Our technology seamlessly integrates and contextualizes siloed datasets, providing a 360-degree operational view that enhances decision-making and efficiency. With advanced capabilities like digital twins, natural language processing, normal behavior modeling, and machine vision, we create real-time virtual replicas of physical assets, enabling predictive maintenance, performance simulation, and operational optimization. Our AI-driven models empower companies with scalable solutions for anomaly detection, performance forecasting, and asset lifetime extensionall tailored to the complexities of industrial environments.

Cutting-Edge AI Innovation Join a team at the forefront of AI, developing groundbreaking solutions that shape the future.

High-Growth Environment Thrive in a fast-scaling startup where agility, collaboration, and rapid professional growth are the norm.

Meaningful Impact Work on AI-driven projects that drive real change across industries and improve lives.

Learn more at: Avathon

About the Role

Join us in developing and applying cutting-edge machine learning solutions for commercial and industrial applications. As a Data Scientist I, you will partner with project teams to develop and deliver customer solutions, working on challenging problems in forecasting, demand planning, renewable energy optimization, anomaly detection, and prescriptive maintenance.

As a Data Scientist I, you will contribute to designing and delivering advanced AI solutions with a strong emphasis on Generative AI and Large Language Models (LLMs). You will apply applied science principles to help develop scalable, production-ready machine learning systems that drive measurable business impact. With a minimum 13 years of industry experience (or equivalent internship/research experience), you are expected to bring a solid foundation in statistical modeling, ML engineering, and modern AI architectures, particularly in GenAI and LLM-based applications. This role offers the opportunity to work on impactful AI initiatives while learning and growing within a fast-paced startup environment.

You Will:

• Support the design, development, and deployment of machine learning and Generative AI solutions to solve complex business problems.
• Assist in building, fine-tuning, and optimizing Large Language Models (LLMs) and transformer-based architectures for real-world applications.
• Apply applied science methodologies to experimentation, model evaluation, and performance optimization.
• Contribute to developing scalable ML pipelines in collaboration with Engineering teams.
• Support prompt engineering, model evaluation, benchmarking, and testing for GenAI applications.
• Work closely with Product, Engineering, and Business stakeholders to translate requirements into data-driven AI solutions.
• Contribute to model governance, responsible AI practices, and production monitoring efforts.
• Stay current with advancements in Generative AI, LLM research, and applied machine learning.

Youll Have:

• Masters degree (or Bachelors with strong experience) in Data Science, Computer Science, Statistics, Mathematics, or a related quantitative field.
• With minimum 13 years of hands-on industry experience (including internships or research) in data science, machine learning, or applied AI roles.
• Foundational experience with Generative AI frameworks and Large Language Models (e.g., exposure to transformer architectures, fine-tuning, or RAG concepts).
• Proficiency in Python and familiarity with ML/AI libraries such as PyTorch, TensorFlow, Scikit-learn, or Hugging Face.
• Solid understanding of statistical modeling and model evaluation techniques.
• Exposure to deploying ML models or working in collaborative production environments.
• Familiarity with cloud platforms (AWS, GCP, or Azure) is a plus.
• Strong analytical thinking and willingness to work on evolving, sometimes ambiguous problem statements.
• Good communication skills and ability to collaborate across teams.
• Industry exposure in one or more of the following domains is desirable: Mining, Oil & Gas, Aerospace, Supply Chain, Logistics, or Renewable Energy.

Preferred Qualifications

• Exposure to Retrieval-Augmented Generation (RAG), vector databases, or embedding-based search systems.
• Basic understanding of MLOps practices and model lifecycle management.
• Experience working on applied AI projects in academic, internship, or startup settings.
• Interest in industrial AI and asset-intensive environments.

Coding Challenge:

As part of the interview process, you will be asked to complete a technical assessment.

What are the benefits and perks at Avathon?

Below are some highlights we offer to our U.S. full-time employees wed love to connect and share more!

• Evolving culture wi