AI, Data Science & Advanced Analytics Consultant

Role: AI Data Science & Advanced Analytics Consultant

Location: Alhambra CA(Hybrid)

Background Checks: Yes

Additional Skills Required

• Public Works is establishing a comprehensive Data Science Program to enhance data-driven decision-making improve operational efficiency and fully leverage modern data platforms such as Databricks in support of the Los Angeles County InfoHub.
• This initiative is critical to enabling scalable analytics strengthening data governance and delivering actionable insights across departmental operations.
• To effectively implement and mature this program-and to address the increasing demand for predictive analytics and AI-driven solutions-the department requires a highly qualified AI Data Science & Advanced Analytics Consultant.
• This resource will provide specialized expertise to accelerate program development support the design and deployment of advanced analytics solutions and ensure alignment between data technology and business objectives.
• The consultant will play a key role in establishing foundational capabilities enabling knowledge transfer to internal staff and positioning Public Works to sustainably expand its data science and AI initiatives.
• The AI Data Science & Advanced Analytics Consultant should possess the following skills and competencies:
• Exceptional communication and stakeholder engagement skills with the ability to clearly translate complex data analytical models and AI concepts into actionable insights for both technical and non-technical audiences while maintaining a strong customer service orientation.
• 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.
• Strong project and time management capabilities with a proven ability to manage multiple priorities meet deadlines and deliver high-quality outputs in a fast-paced evolving environment.
• Demonstrated ability to work both collaboratively and independently driving initiatives forward with minimal oversight while aligning data analytics and business objectives across cross-functional teams.
• High attention to detail and commitment to data quality ensuring accuracy consistency and reliability in all analyses models and deliverables.
• Experience supporting the development and operationalization of data science solutions including contributing to scalable analytics frameworks and enabling knowledge transfer to internal teams.

Additional Experience:

• Five (5) years of experience in data analysis analytics data visualization and reporting with the ability to present insights to business and executive stakeholders.
• Five (5) years of experience with SQL programming using data sources such as SQL Server Oracle PostgreSQL or similar relational databases.
• Two (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.
• Two (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).
• One (1) years of experience applying advanced analytics and predictive modeling (e.g. regression classification clustering forecasting natural language processing).

Additional Education:

• This classification requires possession of a Bachelors degree in Data Science Computer Science Statistics Applied Mathematics Engineering Information Technology or a closely related quantitative field.
• Additional qualifying professional experience may be substituted for the required education on a year-for-year basis.
• Industry-recognized certifications in data science or cloud analytics such as:
• Microsoft Azure Data Scientist Associate (DP-100)
• Databricks Certified Data Scientist or Machine Learning Professional
• AWS Machine Learning Specialty
• Google Professional Data Engineer or equivalent advanced analytics certifications.

Additional Information:

• California Resident Candidates Only.
• Work is expected to be HYBRID and interviews will be conducted on-site.
• Work schedule will be 4/40 10-hour day within the Mon - Thu work schedule at the discretion of the program manager.
• Work shift ranges from 7:15am to 6:00pm.

Trinus Corporation a leading provider of technology solutions and services with over 25 years of experience is a certified WBE/MBE/SBE/SDB firm accredited by WBENC NMSDC and SBA. Our mission is to shape the future of work by aligning the right mix of people process technology and innovation to efficiently meet our clients business objectives. At Trinus we understand that finding the right opportunity is pivotal in your career journey. Our staffing services go beyond mere placements; they are about matching your skills and aspirations with the perfect fit. To learn more about us please visit our website