Data Science - Chennai

7 - 12 years

15 - 27 Lacs

Posted:2 days ago| Platform: Naukri logo

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Work Mode

Hybrid

Job Type

Full Time

Job Description

Greetings from Infosys EdgeVerve !!!

Further shortlisting your profile, we kindly request you to complete your application using the link provided below and upload your updated resume to proceed with the next steps.

Job Link :

Interview Process :

  1. Assessment
  2. Technical Interview
  3. Managerial Interview

Data Science

  • Minimum 6.5+years of Experience required.
  • Excellent analytical and problem-solving skills .
  • Experience using statistical computer languages (Python, SLQ, etc.) to manipulate data and draw insights from large data sets.
  • Knowledge of advanced statistical techniques and concepts (regression, properties of distributions, statistical tests and proper usage, etc.) and experience with applications.
  • Experience creating and using advanced machine learning algorithms and statistics: regression, simulation, scenario analysis, modeling, clustering, decision trees, neural networks.
  • Should be able to host the models and make them API convertible.
  • Good communication and presentation skills to explain your work to people who don't understand the mechanics behind data analysis.
  • Working on Cutting Edge AI solutions in partnership with best of business in the industry. Propose innovate solutions and adopt quickly to dynamic learning environment.
  • Build AI algorithms and design experiments to merge, manage, interrogate, and extract data to supply tailored reports to colleagues, customers, or the wider organization .
  • Use predictive modeling to increase and optimize customer experiences, revenue generation, ad targeting, and other business outcomes. Bring about Explainable and Responsible AI.
  • Conduct research from which you'll develop prototypes and proof of concepts Look for opportunities to use insights/datasets/code/models across other functions in the organization
  • Stay curious and enthusiastic about using algorithms to solve problems and enthuse others to see the benefit of your work.

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