AI, Data Science & Advanced Analytics Consultant

Our client, a state company, is seeking an Advanced Analytics Consultant - AI & Data Science. Apply today for consideration! Job Title: Advanced Analytics Consultant - AI & Data Science Location: Alhambra, CA - Hybrid Duration: 12 Months with possibility of extension Pay range: $70 to $75 per hour (DOE) The AI, Data Science & Advanced Analytics Consultant should possess the following skills and competencies: • Advanced analytical and business acumen, including experience with statistical methods and modeling techniques such as regression analysis, association analysis, clustering, and outlier detection, along with a solid foundation in exploratory data analysis and problem framing. • Working knowledge of data architecture and database design principles, with the ability to collaborate effectively with Data Management and Data Engineering teams to ensure data quality, accessibility, and alignment with enterprise standards. • Proficiency in data visualization and reporting tools to effectively communicate insights, trends, and performance metrics to support decision-making. • High attention to detail and commitment to data quality, ensuring accuracy, consistency, and reliability in all analyses, models, and deliverables.

: • 5+ years of experience in data analysis, analytics, data visualization and reporting with the ability to present insights to business and executive stakeholders. • 5+ years of experience with SQL programming, using data sources such as SQL Server, Oracle, PostgreSQL, or similar relational databases. • 2+ years of experience working with Databricks, Genie and similar AI cloud-based analytics platforms, including notebook development, feature engineering, Machine Learning model training, and workflow orchestration. • 2+ years of experience collaborating with data engineering and data science teams to design data pipelines, optimize data transformations, and implement Lakehouse or data warehouse architectures (e.g., Databricks, Snowflake, SQL-based platforms). • 1+ years of experience applying advanced analytics and predictive modeling (e.g., regression, classification, clustering, forecasting, natural language processing).

Required: • Bachelor's degree in data science, Computer Science, Statistics, Applied Mathematics, Engineering, Information Technology, or a closely related quantitative field, professional experience may be substituted for the required