
Data Scientist
4 days ago
Job Brief:
Employment Type: Full-Time (Remote)
Timings: 06:00PM-03:00AM (4 hours overlap)
Minimum Experience: 5 Years
Responsibilities:
a. Data Engineering and Integration
- Design, develop, and maintain data pipelines in Microsoft Fabric
- Ingest, transform, and model data from multiple sources into the data lakehouse/warehouse
- Ensure data integrity, scalability, and performance optimization.
b. Analytics & Reporting
- Develop and optimize complex SQL queries to support analytics and reporting.
- Build and maintain datasets and semantic models for Power BI.
- Design, implement, and modify advanced Power BI visualizations and dashboards
- Partner with stakeholders to deliver accurate and actionable insights.
c. AI & LLM Development
- Develop, fine-tune, and maintain large language models for enterprise use cases.
- Integrate LLM solutions with data assets in Microsoft Fabric and reporting environments.
- Monitor and retrain models as required to maintain performance.
Additional responsibilities:
- Define and lead important initiatives
- Work closely with the product and engineering teams to improve data accessibility and efficiency of algorithm iteration
- Design and run statistically sound experiments to further uncover predictors of performance.
Requitements:
- BA or MS in Statistics, Mathematics, Computer Science, or other quantitative fields.
- 3+ years of industry experience delivering and scaling machine learning products both in scope and on time.
- Strong skills in Python and querying languages (e.g. SQL).Experience in production-level coding with broad knowledge of healthy code practices.
- Tech Stack:, Microsoft Fabric, Power BI, Dax, Python, MS SQL Server
- Excellent business acumen, with proven ability to understand, analyze and problem solve business goals in detail, developing effective solutions with clients.
- Critical thinker and good communicator
- Fluent English (both written and spoken) is required.
Working Conditions:
The role requires a
mandatory 4-hour overlap
with
Eastern Standard Time (EST)
working hours, i.e.,
Monday to Friday, 09:00 AM to 05:00 PM (EST).
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