Data Scientist, Robert Half

Robert Half

Location:
United States, Glendale

Category:
IT - Software Development

Contract Type:
Not provided

Salary:

Not provided

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Job Description:

We are looking for an experienced Data Scientist to join our team in Glendale, CA, on a long-term contract basis. This role is ideal for a detail-oriented individual with a deep understanding of data science principles, machine learning methodologies, and statistical analysis, who thrives in a dynamic and collaborative environment. If you are skilled in leveraging advanced tools and technologies to drive data-driven insights, we invite you to apply.

Job Responsibility:

Develop and implement machine learning models to solve complex business challenges and optimize decision-making processes
Analyze large datasets using statistical methods and mathematical modeling to uncover patterns and actionable insights
Utilize programming languages such as Python, R, or Scala to design, test, and deploy data science solutions
Collaborate with cross-functional teams to identify opportunities for applying data science techniques to improve operations
Lead the preparation and cleaning of datasets to ensure accuracy and reliability for analysis and modeling
Apply expert knowledge of libraries like scikit-learn, numpy, and pandas to enhance machine learning workflows
Manage and optimize cloud database solutions, including Snowflake, Databricks, and BigQuery, to support scalable data processing
Research and stay updated on emerging trends in artificial intelligence and machine learning to integrate best practices
Provide mentorship and guidance to less experienced team members in the application of data science techniques
Present findings and recommendations to stakeholders through clear and compelling data visualizations

Requirements:

Minimum of 10 years of experience in data science with a proven record of leading successful projects
Advanced proficiency in Python, R, or Scala for data analysis and machine learning applications
In-depth expertise in machine learning libraries such as scikit-learn, numpy, and pandas
Strong foundation in machine learning technologies, statistical methods, and mathematical modeling
Familiarity with cloud database platforms such as Snowflake, Databricks, or BigQuery is preferred
Excellent communication and collaboration skills to work effectively with diverse teams
Bachelor’s degree in a related field is required
Master’s or Ph.D. in Statistics or a related discipline is highly preferred
Demonstrated ability to present complex data findings in a clear and actionable manner

What we offer:

medical, vision, dental, and life and disability insurance
eligible to enroll in our company 401(k) plan

Additional Information:

Job Posted:
August 06, 2025

Employment Type:

Fulltime

Work Type:

On-site work

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Data Scientist