Sr. Data Scientist Python, AI, ML

Qualifications

• Core Programming: You are a master of Python and its scientific computing stack (pandas, numpy, scipy, scikit-learn)

• Your code is clean, efficient, and production-ready

• Generative AI & LLMs: You have hands-on experience with large language models (LLMs) and foundation models

• You're proficient with frameworks like LangChain or LlamaIndex for building RAG (Retrieval-Augmented Generation) systems

• Experience fine-tuning models and working with embedding techniques is a major plus

• Time-Series & ML: You have proven experience with time-series forecasting (e.g., ARIMA, Prophet) and advanced machine learning models (e.g., LSTMs, Gradient Boosting, Isolation Forests)

• Experience with a major framework like TensorFlow or PyTorch is essential

• Data Systems: You are fluent in SQL and have hands-on experience with industrial time-series databases and historians like OSIsoft PI, InfluxDB, or similar platforms

Responsibilities

• You will collaborate shoulder-to-shoulder with mechanical, electrical, combustion and controls engineers to move beyond reactive problem-solving and create a proactive, data-driven manufacturing environment

Full Description

SENIOR Data Scientist Python, AI, ML

Location: SAN DIEGO, CA

Duration: 6 Months

Tax Term: W2

We are seeking a data scientist who is passionate about the physical world and wants to see their code come to life in the hum of machinery.

You will be our go-to expert for translating high-frequency sensor data into predictive intelligence and for pioneering the use of Generative AI to solve core engineering challenges.

You will collaborate shoulder-to-shoulder with mechanical, electrical, combustion and controls engineers to move beyond reactive problem-solving and create a proactive, data-driven manufacturing environment.

Technical Skills:

• Core Programming: You are a master of Python and its scientific computing stack (pandas, numpy, scipy, scikit-learn).

Your code is clean, efficient, and production-ready.

• Generative AI & LLMs: You have hands-on experience with large language models (LLMs) and foundation models.

You're proficient with frameworks like LangChain or LlamaIndex for building RAG (Retrieval-Augmented Generation) systems.

Experience fine-tuning models and working with embedding techniques is a major plus.

• Time-Series & ML: You have proven experience with time-series forecasting (e.g., ARIMA, Prophet) and advanced machine learning models (e.g., LSTMs, Gradient Boosting, Isolation Forests). Experience with a major framework like TensorFlow or PyTorch is essential.

• Data Systems: You are fluent in SQL and have hands-on experience with industrial time-series databases and historians like OSIsoft PI, InfluxDB, or similar platforms.

• Cloud & MLOps: You are comfortable working in a cloud environment (AWS preferred) and have experience with MLOps principles versioning data and models, deploying endpoints, and monitoring performance.