Data Science Supervisor - Lead ML, Data Eng & Cloud

Robotic Technologies Automation; Los Angeles (CA); On-site; USD 77,000 - 110,000; Full time

Job summary

Robotic Technologies Automation in Los Angeles, CA seeks an experienced Data Science Supervisor to lead a team delivering advanced data science solutions. You will guide ML model development, data engineering, and analytics across cloud environments, driving data-driven decisions.

The role combines technical leadership with team management, requiring hands-on Python/R/SQL and strong communication to align with stakeholders and delivery timelines.

Qualifications

• Minimum 6 years of relevant professional experience.
• At least 3 years of experience supervising data science professionals.
• Hands-on expertise in Python, R, SQL, and machine learning.
• Experience with relational databases, ETL pipelines, data engineering, and data warehousing.
• Knowledge of cloud platforms, preferably AWS, Azure, or Databricks.

Responsibilities

• Lead, mentor, and supervise data scientists and analysts while ensuring quality and timely project delivery.
• Oversee relational databases, ETL processes, backend pipelines, and cloud environments such as Databricks.
• Develop and implement machine learning models using supervised and unsupervised learning techniques.
• Perform statistical analysis, regression, classification, clustering, dimensionality reduction, and hypothesis testing.
• Manage data processing and analytics using Python, R, SQL, Pandas, NumPy, and Scikit-learn.
• Work with big data technologies such as Apache Spark and Hadoop.
• Support ML model deployment using Docker, Flask, AWS, and Azure.
• Develop data visualizations, dashboards, and reports using Tableau, Power BI, Matplotlib, and Seaborn.

Skills

communication

leadership

problem solving

project management

Tools

Python

R

SQL

Pandas

NumPy

Scikit-learn

Job description

Robotic Technologies Automation in Los Angeles, CA seeks an experienced Data Science Supervisor to lead a team delivering advanced data science solutions. You will guide ML model development, data engineering, and analytics across cloud environments, driving data-driven decisions.

The role combines technical leadership with team management, requiring hands-on Python/R/SQL and strong communication to align with stakeholders and delivery timelines.