Lead Data Scientist: ML Innovator & Insight Architect

Brillio; Edison (CA); On-site; USD 150,000 - 190,000; Full time

Job summary

Brillio is seeking a Principal Data Scientist to design robust models and lead end-to-end data science initiatives. You will collaborate with cross-functional teams to translate business needs into analytical solutions and drive measurable impact.

Responsibilities include building scalable data pipelines, developing probabilistic and graph models, and deploying models using leading ML frameworks. Mentorship of junior data scientists is expected to foster excellence.

Qualifications

• Masters or PhD in data science, statistics, CS or math.
• Certifications in ML or advanced data analysis are a plus.
• Strong foundation in statistical methods and ML algorithms.

Responsibilities

• Design and implement robust statistical models and ML algorithms for large-scale data analysis.
• Lead end-to-end data science projects from hypothesis testing to forecasting.
• Collaborate with cross-functional teams to define requirements and deliver analytics solutions.
• Optimize data pipelines using Python, PySpark, and R for efficient processing.
• Develop, validate, and maintain probabilistic graph models and advanced computing frameworks.
• Leverage ML frameworks to build, train, and deploy models (TensorFlow, PyTorch, Sci-Kit Learn).
• Establish model evaluation and monitoring with tools like Great Expectations and Evidently AI.
• Mentor and guide junior data scientists to foster technical excellence.

Skills

Hypothesis testing

Regression techniques

Classification algorithms

Model evaluation & monitoring

Mentoring junior data scientists

Cross-functional collaboration

Education

Master's or PhD in Data Science / Statistics / CS / Math

Tools

Python

PySpark

R

SAS

SPSS

TensorFlow

PyTorch

SciKit-Learn

CNTK

Keras

MXNet

Kubeflow

BentoML

Great Expectations

Evidently AI

Job description

Brillio is seeking a Principal Data Scientist to design robust models and lead end-to-end data science initiatives. You will collaborate with cross-functional teams to translate business needs into analytical solutions and drive measurable impact.

Responsibilities include building scalable data pipelines, developing probabilistic and graph models, and deploying models using leading ML frameworks. Mentorship of junior data scientists is expected to foster excellence.