Analyst Data Scientist Job in Camsdata Technologies India Pvt Ltd

Analyst Data Scientist

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Job Summary

Job Description:

  • Build an in-depth understanding of the problem domain and available data assets
  • Research, design, implement, and evaluate machine learning approaches and models
  • Perform ad-hoc exploratory statistics /data mining tasks on diverse datasets - small scale to big data
  • Participate in data architecture and engineering decision-making to support analytics
  • Take initiative in evaluating and adapting new approaches from data science research
  • Investigate data visualization and summarization techniques for conveying key findings
  • Communicate findings and obstacles to stakeholders to help drive the delivery to market
  • Code your solutions (this is a hands-on position requiring strong programming skills)

Key Requirements:

  • Professional experience as a data scientist or a related software engineering role
  • Graduate degree (MS) in mathematics, computer science or other quantitative discipline
  • Thorough understanding of probability and statistics, Bayesian methods, time series analysis
  • Strong programming skills (in any language)
  • Great communication skills, team player, self-starter, demonstrated strong work ethic
  • Desire to use modern technologies as a disruptive influence within the Finance domain

Preferred:

  • Expertise in Statistics, Empirical Data Analysis, Machine Learning or Natural Language Processing
  • Experience and in-depth knowledge of Python and other modern programming languages
  • Experience in a specialized statistical computing environment, preferably R
  • Experience in practical data processing, data mining, text mining and information retrieval tasks
  • Experience in scalable data management tools - Relational and NoSQL databases
  • Knowledge of Big Data architectures a strong plus
  • Knowledge of Pythons data analysis and machine learning libraries a strong plus

Exp: 3 to 8 yrs

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Experience Required :

3 to 8 Years

Vacancy :

2 - 4 Hires

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