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Open nowPosted 552 days ago

Data Scientist

Smart Gen Staffing30 open roles

Where
Columbus, OH
Work mode
On site
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Your applicationOpen nowData ScientistSmart Gen Staffing · Columbus, OH
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Share of postings closed within
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  2. 6.5%3 days
  3. 15.1%7 days
This job: posted 552 days ago

The posting

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  • Job insights
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  • 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.
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