Data Scientist

Job description Job insights Screening questions Candidate pipeline If you post this job on a job board, please do not use company name or salary. Experience level: Mid-senior Experience required: 10 Years Education level: Bachelor’s degree Job function: Information Technology Industry: Information Technology and Services Total position: 1 Relocation assistance: No Visa sponsorship eligibility: No Need candidates from Insurance and Financial domain Job Summary Demonstrated skill working directly with stakeholders, business partners, SMEs, systems peers, and cross-functional teams to elicit data requirements and design appropriate data models that align with business needs.

Structured execution of data analysis, data profiling, and data mapping tasks. Translating current and future business requirements into conceptual, logical, and physical data model designs. Proficiency in utilizing standard data modeling tools (e.g. Erwin, ER Studio, Toad DM, Power Designer, etc.) Designing data models for multiple distinct patterns (e.

g. relational, dimensional, hybrid) associated with data warehouse, BI, and big data applications. Creation of new and extension of existing data models across multiple DBMS platforms (e.g. Oracle, SQL Server, DB2, Snowflake, Teradata, NoSQL). Ability to understand and explain complex data integration and extraction/transformation/load processes.

Demonstrated experience identifying and resolving data model performance issues to optimize database performance and enhance overall system functionality. Documenting and communicating data model designs and standards to ensure understanding and compliance with expectations for interoperability across the organization.

Proven communication skills illustrating ability to effectively interact with people at all levels of business and technology organizations. Fluency in Python, SQL, and Unix. High proficiency with generating complex SQL queries is required. Version control of databases and metadata management tools (e.g. Git, Liquibase, etc.)

Insurance and Financial domain experience is highly desired. Experience working in an Agile environment using Lean, Kanban and Scrum practices.