Semantic Modeler/ Data Scientist

Farmers Insurance Careers

138d • $89,280 - $151,140

About The Position

This position designs and develops a robust semantic layer and underlying data model to bridge the gap between technical data and business language. The primary objective is to facilitate intuitive self-serve access to data in simple business language for easy exploration and analysis by users across the organization. The role develops the semantic layer by applying data virtualization principles on a cloud environment. The position collaborates with business and technical partners to define and refine a comprehensive data model and ensure semantic consistency across platforms. The role contributes to continuously improving data quality and accessibility standards. Performs work within functional guidelines and works independently while receiving minimal guidance from a supervisor.

Requirements

• Minimum five years of experience required in data modeling with a focus on semantic layers.
• Experience preferred in working with data modeling tools and methodologies.
• Experience with ETL (Extract, Transform, Load) tools, APIs, Python or Java.
• Experience with data virtualization tools, a plus.
• Strong verbal communication and listening skills with ability to convey complex technical data to others in a simple and clear manner.
• Demonstrated written communication skills. Able to translate complex technical data into clear business language.
• Demonstrated analytical skills. Demonstrated problem solving skills.
• Effective interpersonal skills.
• Possesses strong technical aptitude. Strong understanding of data virtualization principles, concepts, and technologies and their performance characteristics.
• Strong understanding of cloud-based data management and analytics technologies and tools.
• Proficiency in SQL and relational databases.
• Demonstrates excellent judgment and decision making skills.
• Performs work independently with minimal supervision.
• Possesses a high degree of initiative.
• Seeks to acquire knowledge in area of specialty.
• Strong understanding of data quality, data governance, security, and data classification principles and practices.

Responsibilities

• Collaborates with data architect to understand the overall data strategy and requirements for the semantic layer.
• Designs and develops a comprehensive semantic data model that accurately reflects the business meaning of data entities and their relationships.
• Participates in testing and validating the semantic data model to ensure it meets performance and usability requirements.
• Defines data quality checks, transformations, and cleansing rules and works with data engineers to implement them within the semantic layer.
• Documents the semantic data model including detailed entity definitions, relationships, and data lineage information.
• Engages business and technical partners to translate technical data terminology into clear and simple business language.
• Consults with stakeholders to understand business needs, identify key concepts, and learn preferred terminology.
• Uses in-depth knowledge of data modeling, database management systems, and semantic methodologies combined with working knowledge of the business to create easy-to-understand business glossaries.
• Facilitates a shared understanding of business data across the organization.
• Analyzes data sources from multiple systems to understand their structure, content, and relationships.
• Collaborates with data source owners to enable data access through the semantic layer.
• Uses semantic modeling best practices to ensure semantic model is optimized for self-service data access and analysis.
• Applies in-depth knowledge and practical expertise in data virtualization to access, integrate, and analyze diverse datasets to create data and semantic models that equip business partners across the organization with valuable, data-driven insights.
• Works closely with internal IT and technical partners to define and implement security provisioning measures for accessing and connecting to data sources, ensuring adherence to the established policies and procedures and standards of the organization.
• Stays updated on best practices, trends, and advancements in data modeling and semantic modeling methodologies.
• Acts as a knowledgeable resource to lead, guide, and support the implementation of a robust semantic layer and underlying data model.
• Performs other duties as assigned.

Benefits

• Competitive salary commensurate with experience, qualifications and location.
• Bonus Opportunity (based on Company and Individual Performance)
• 401(k)
• Medical
• Dental
• Vision
• Health Savings and Flexible Spending Accounts
• Life Insurance
• Paid Time Off
• Paid Parental Leave
• Tuition Assistance

What This Job Offers

• Education Level: Bachelor's degree
• Number of Employees: 5,001-10,000 employees