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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