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Senior Data Scientist Job Description
\We are seeking an experienced data scientist to join our team and play a critical role in advanced analysis, leveraging both traditional programming and emerging AI technologies.
\Key Responsibilities:
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- Design, develop, and optimize SQL queries for data extraction, manipulation, and reporting.\
- Build and maintain ETL pipelines for seamless data integration across systems.\
- Apply programming expertise in Python and Java for data analysis, automation, and solution development.\
- Utilize GenAI tools and LLMs (Large Language Models) for advanced data-driven insights.\
- Develop and refine prompt engineering techniques to generate accurate SQL queries, summarize findings, and enhance analytical workflows.\
- Translate complex data into clear, actionable insights for business stakeholders.\
- Collaborate with cross-functional teams to identify opportunities for process improvement and data-driven decision-making.\
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Required Skills & Qualifications:
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- 4–7 years of experience in data analysis, data engineering, or related fields.\
- Strong expertise in SQL (query optimization, joins, stored procedures, performance tuning).\
- Hands-on experience with Python and Java for data analysis and application development.\
- Proven experience with ETL tools and frameworks for data extraction and integration.\
- Exposure to GenAI tools and LLMs for analytics and automation.\
- Ability to apply prompt engineering for generating SQL queries, summarizing outputs, and driving deeper insights.\
- Strong problem-solving skills with a focus on innovation and accuracy.\
- Excellent communication skills, with the ability to present data insights to both technical and non-technical stakeholders.\
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Nice to Have:
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- Experience with cloud platforms (AWS, Azure, or GCP).\
- Familiarity with data visualization tools (Power BI, Tableau, or Looker).\
- Understanding of machine learning concepts and their application in data analysis.\
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