Data Scientist: ML, Gen AI & Production Deployments

Popular Tech; Irvine (CA); On-site; USD 92,000 - 112,000; Full time

Job summary

Popular Tech is seeking a Data Scientist (full-time) to design, develop, validate supervised learning and Gen AI solutions within GDI&A. You will build pipelines, perform feature engineering, and deploy end-to-end models using Python, PySpark, and cloud services across AWS/GCP/Azure.

Collaboration with stakeholders is essential. The role requires a Master's degree in Computer Science and a strong background in time-series forecasting, A/B testing, and model evaluation.

Qualifications

• Master's degree in Computer Science is required.
• Strong experience with Python, Spark, and cloud platforms is expected.
• Experience with ML model evaluation, monitoring, and production deployment is preferred.

Responsibilities

• Develop supervised learning and Gen AI solutions.
• Deploy production ML models and endpoints.
• Design dashboards and data visualizations for stakeholders.
• Lead ETL and data preprocessing/validation pipelines.
• Collaborate with cross-functional teams in an Agile environment.

Skills

Python

PySpark

Streamlit

SQL

A/B testing

Hypothesis-driven analysis

Time-series forecasting

Stochastic modeling

Statistical analysis

Dashboard design

Production ML deployment

Model endpoints deployment

Education

Master's degree in Computer Science

Tools

Databricks

Airflow

Git

JIRA

Jupyter Notebooks

SageMaker

Lambda

GCP

AWS

Azure

Job description

Popular Tech is seeking a Data Scientist (full-time) to design, develop, validate supervised learning and Gen AI solutions within GDI&A. You will build pipelines, perform feature engineering, and deploy end-to-end models using Python, PySpark, and cloud services across AWS/GCP/Azure.

Collaboration with stakeholders is essential. The role requires a Master's degree in Computer Science and a strong background in time-series forecasting, A/B testing, and model evaluation.