Data Scientist Analyst
New
IndiaFull-TimeMiddle
Salary not disclosed
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Job Details
- Languages
- English
- Experience
- Minimum 2 years
- Required Skills
- PythonData AnalysisMachine LearningNumpyAzurePandasscikit-learn
Requirements
- Bachelor’s degree in Computer Science, Statistics, Mathematics, or a related field preferred.
- Minimum 2 years of experience in data science, data analysis, or related analytical roles.
- Strong proficiency in Python and experience with data analysis and machine learning libraries.
- Solid understanding of statistical analysis methods and foundational machine learning concepts.
- Familiarity with Azure services and cloud environment configuration is preferred.
- Experience working within BPO or call center environments is an advantage.
- Strong analytical thinking and problem-solving capabilities.
- Excellent communication skills with the ability to explain technical findings clearly to non-technical stakeholders.
- Fluent English communication skills (B2 level or above) are required.
- Additional language skills in French, German, or Spanish are considered a plus.
- Awareness or conceptual understanding of Agentic AI and AI agents is highly valued.
Responsibilities
- Configure and maintain Azure environments following security standards and cloud best practices.
- Develop and maintain Python scripts for data processing, automation, and analytics tasks.
- Utilize libraries such as Pandas, NumPy, and Scikit-learn for data manipulation and analytical workflows.
- Conduct detailed data analysis using statistical methods to identify trends, patterns, and operational insights.
- Translate complex datasets into actionable recommendations and present findings clearly to stakeholders.
- Collaborate with cross-functional teams to support infrastructure setup and analytics initiatives.
- Contribute to workflow and process improvements within BPO or call center operations.
- Support the implementation and maintenance of cloud-based and analytics-driven solutions.
- Participate in continuous improvement initiatives involving machine learning and emerging AI technologies.
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