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Data Scientist - Sr. Associate HR

Cognizant

Chennai District

On-site

INR 8,00,000 - 15,00,000

Full time

Today
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Job summary

A global technology company is seeking Data Scientists to perform extensive statistical analysis and work with machine learning and large language models. The ideal candidate will have proficiency in SQL, Python, and Excel, along with strong logical reasoning and business acumen. The role includes building models, analyzing large datasets, and collaborating with stakeholders to meet business requirements.

Qualifications

  • Proficient in SQL, Python, and Excel.
  • Strong understanding of data structures.
  • Logical reasoning and business acumen essential.

Responsibilities

  • Build supervised/unsupervised and forecasting models.
  • Perform extensive statistical analysis on large datasets.
  • Handle/roll-up large datasets.
  • Carve out insights from huge datasets using Python/SQL.
  • Create simulators/scenario models.
  • Work with internal stakeholders to understand business requirements.
  • Present project outcomes using appropriate tools/applications.
  • Collaborate with multiple functions to gather data.

Skills

SQL
Python
Excel
Data Structures
Logical reasoning
Business acumen
Job description
Role Summary

We are looking for Data Scientists. This role involves performing extensive statistical analysis (both descriptive and prescriptive), Machine Learning, Deep Learning, and working with LLM Models. Candidate needs to be proficient in SQL, Python, Excel and have a solid understanding of Data Structures. Additionally, strong logical reasoning and business acumen are essential, with a preference for experience in the HR domain.

Key Responsibilities
  1. Build supervised/ unsupervised and forecasting models
  2. Perform extensive statistical analysis on large datasets.
  3. Handle/roll-up large datasets
  4. Carve out insights from huge datasets using Python/SQL.
  5. Create simulators/ scenario models
  6. Work with internal stakeholders to understand business requirements.
  7. Present project outcomes using appropriate tools/applications.
  8. Collaborate with multiple functions to gather data.
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