Data Scientist

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

Job summary

Robotics Technologies LLC in Los Angeles seeks an experienced Data Science Supervisor to lead a team of data scientists and analysts in delivering advanced data science solutions. The role requires expertise in ML, statistical analysis, ETL pipelines, databases, and cloud platforms, with responsibility for technical leadership and project oversight to support data-driven decisions.

Candidates should have hands-on Python/R/SQL, experience with Databricks, Spark, Hadoop and deployment via Docker,

Qualifications

• Minimum 6 years of relevant professional experience.
• At least 3 years of experience supervising data science professionals.
• Hands-on experience leading data science projects and technical teams.
• Strong programming in Python, R, SQL and ML.
• Experience with relational databases, ETL, data warehousing, and cloud platforms.

Responsibilities

• Lead, mentor, and supervise data scientists and analysts to ensure quality and timely delivery.
• Oversee databases, ETL processes, backend pipelines, and cloud environments such as Databricks.
• Develop and implement ML models using supervised and unsupervised techniques.
• Perform statistical analyses, regression, classification, clustering, and hypothesis testing.
• Manage data processing using Python, R, SQL, Pandas, NumPy, and Scikit-learn.
• Work with big data technologies like Spark and Hadoop.
• Support model deployment using Docker, Flask, AWS, and Azure.
• Develop data visualizations and dashboards using Tableau and Power BI.
• Lead Agile/Scrum activities and collaborate with engineering teams.

Skills

Python

R

SQL

Machine learning

Leadership

Project management

Tools

Databricks

Tableau

Power BI

Docker

Flask

AWS

Azure

Hadoop

Apache Spark

Job description

US Citizen, Green Card, H-1B, OPT-EAD, CPT, Other

Job Title: Data Scientist
Location: Los Angeles, CA
Duration: 9 Months + Extension
Bill Rate: $68/hour
Job Type: W-2, 1099, C2C
Client: To Be Discussed Later
Work Authorization: US-Citizen, H-1B, OPT-EAD, GC-EAD

Job Description

We are seeking an experienced Data Science Supervisor to lead a team of data scientists and analysts in delivering advanced data science solutions. The ideal candidate will have strong expertise in machine learning, statistical analysis, data engineering, ETL pipelines, relational databases, and cloud platforms. This role requires both technical leadership and team management skills, with the ability to oversee complex projects and support data-driven business and operational decisions.

Key Responsibilities

• Lead, mentor, and supervise data scientists and analysts while ensuring quality and timely project delivery.
• Oversee relational databases, database architecture, 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 machine learning model deployment using Docker, Flask, AWS, and Azure.
• Develop data visualizations, dashboards, and reports using Tableau, Power BI, Matplotlib, and Seaborn.
• Oversee technical documentation, API design documentation, ETL business logic, data security, and quality assurance.
• Establish code review practices, unit testing, and code quality standards.
• Lead Agile/Scrum activities, including sprint planning, daily stand-ups, task assignments, and blocker resolution.
• Collaborate with engineering teams and stakeholders to ensure successful deployment and support data-driven decision-making.

Required Qualifications

• Minimum 6 years of relevant professional experience.
• At least 3 years of experience supervising data science professionals.
• Strong experience managing complex data science projects and technical teams.
• 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.
• Strong communication, leadership, problem-solving, and project management skills.

We are an equal opportunity employer. All aspects of employment including the decision to hire, promote, discipline, or discharge, will be based on merit, competence, performance, and business needs. We do not discriminate on the basis of race, color, religion, marital status, age, national origin, ancestry, physical or mental disability, medical condition, pregnancy, genetic information, gender, sexual orientation, gender identity or expression, national origin, citizenship/ immigration status, veteran status, or any other status protected under federal, state, or local law.