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Data Scientist
2 weeks ago
Job Title :
Data Scientist
Location :
Pune (Hinjewadi Phase 1)
Employment Type :
Full-time
Experience Level :
26 Years
Department :
Data & Analytics
Job Summary
We are looking for a skilled Data Scientist with strong experience in data science and data analytics, and a working understanding of modern data engineering tools. The ideal candidate will have a solid foundation in Python, SQL, data modeling, and data visualization using Power BI, with exposure to Azure cloud services being a plus.
Key Responsibilities
- Develop, maintain, and optimize data pipelines and workflows to support data analytics and machine learning initiatives.
- Design and implement data models that support business intelligence and reporting needs.
- Work closely with data analysts and business stakeholders to build dashboards and reports using Power BI.
- Write efficient and complex SQL queries for data extraction, transformation, and reporting.
- Leverage Python for data processing, automation, and integration of machine learning models.
- Assist in the development and operationalization of predictive models where needed.
- Collaborate with cross-functional teams to ensure data accuracy, integrity, and Skills & Qualifications :
- Proficient in Python for data analysis and scripting.
- Strong skills in SQL, preferably with Microsoft SQL Server experience.
- Experience in data modeling and handling large datasets.
- Exposure to machine learning concepts and libraries (e.g., scikit-learn, pandas).
- Strong analytical skills and experience using Power BI, including DAX and data visualization best practices.
- Proficient in Microsoft Excel for data manipulation and to Have (Good to Have, Not Mandatory) :
- Familiarity with Azure Data Factory, Microsoft Fabric, or Azure Blob Storage.
- Understanding of cloud-based data architecture and deployment practices.
- Experience working in agile or DevOps Background :
- Bachelors or Masters degree in Computer Science, Data Science, Engineering, or a related Join Us?
- Work on impactful data-driven projects.
- Collaborative and innovative team environment.
- Opportunities to learn and grow in cloud and ML technologies
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