Data scientist serp_jobs.h1.location_city

Job Description

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.

Responsibilities :

• 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.
• 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.