Senior Data Scientist As a Senior Data Scientist, you will contribute to enterprise-scale data & analytics initiatives, working across architecture, engineering, product, and delivery teams to build scalable, secure, and high-performance systems aligned with long-term business goals. This role requires strong ownership, technical clarity, collaboration discipline, and the ability to support enterprise-quality outcomes in modern product environments.
Minimum Qualifications:
Bachelor's degree or equivalent practical experience.8+ years of experience in enterprise software, product engineering, or aligned technical environments.
Strong problem-solving and system design capabilities.
Experience working in scalable, distributed, or cross-functional delivery environments.
Experience with data processing, analytics workflows, data pipelines, or reporting systems.
Preferred Qualifications:
Experience in product-based organizations, enterprise platforms, or SaaS environments.
Exposure to globally distributed teams, structured release cycles, and high-accountability delivery models.
Strong understanding of scalability, performance, quality, and long-term maintainability.
Experience with data modeling, analytics visualization, performance optimization, or cloud data services.
Responsibilities:
Build and improve enterprise data pipelines, reporting systems, and analytics workflows.
Maintain reliability, usability, and performance across structured data delivery capabilities.
Collaborate with product, engineering, and business teams on reporting and data platform requirements.
Support governance, data quality, and long-term maintainability across enterprise data workflows.
Contribute to insight generation and scalable analytics maturity.
Education:
Bachelor's degree in Computer Science, Engineering, Information Technology, Business, or a related field preferred. Equivalent practical experience may be considered.
Certifications: Azure Data Engineer Power BI / Analytics Certification
Benefits:- Medical Coverage
- Performance Bonus 401K / Retirement
- Learning and Certification Support
- Role Information
Location: Chicago, USA
Work Model: Hybrid
Authorization: US Citizen / Green Card / H1B Welcome to Apply
Salary Range: $140K - $180K + bonus + benefits
Notice Period: Immediate to 45 Days Preferred
Employment Type: Full TimeHiring Type: Direct Hire
Relocation: Available / Considered
Project Type: Enterprise Data Platform SQL Python ETL Spark Data Pipelines Domain Alignment Analytics Systems Reporting Platforms Business Intelligence Apply or Ask About This Role Updated Resume
Relevant Experience: Summary
Work Authorization / Eligibility:
Current Location and Availability All applications are evaluated based on role alignment, technical depth, enterprise experience, and structured hiring criteria defined by Walsharp Technologies.
