Tiger Analytics Hiring Drive 2024 For Data Scientist 

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Tiger Analytics Hiring Drive 2024: Tiger Analytics Hiring Drive 2024 for its Data Scientist. Tiger Analytics Drive organizes off-campus drives for candidates in any batch. To apply, candidates should have a Degree in Computer Science, Data Science, Mathematics, or a similar field. if you are interested, please apply as soon as possible.

Company Name: Tiger Analytics

Role: Data Scientist

Location: Across India

Experience: 2 – 5 yrs

Qualification: Degree in Computer Science, Data Science, Mathematics, or a similar field 

Batch: Any

Job Type: Full Time

Salary: ₹2L – ₹10 LPA

Tiger Analytics Hiring Drive 2024

Job Description:

  • We are looking for a Lead Data Scientist to lead a technical team and help us gain
  • useful insight out of raw data.
  • Lead Data Scientist responsibilities include managing the data science team, planning
  • projects and building analytics models.
  • You should have a strong problem-solving ability and a knack for statistical analysis.
  • If you’re also able to align our data products with our business goals, we’d like to meet you.
  • Your ultimate goal will be to help improve our products and business decisions by making the most out of our data.


  • Proven experience as a Data Scientist or similar role
  • Solid understanding of machine learning
  • Knowledge of data management and visualization techniques
  • A knack for statistical analysis and predictive modeling
  • Good knowledge of R, Python and MATLAB
  • Experience with SQL and NoSQL databases
  • Strong organizational and leadership skills
  • Excellent communication skills
  • A business mindset
  • Degree in Computer Science, Data Science, Mathematics, or a similar field
  • Familiar with emerging/cutting edge, open source, data science/machine learning
  • libraries/big data platforms


  • Conceive, plan and prioritize data projects
  • Ensure data quality and integrity
  • Interpret and analyze data problems
  • Build analytic systems and predictive models
  • Align data projects with organizational goals
  • Lead data mining and collection procedures
  • Test performance of data-driven products
  • Visualize data and create reports
  • Build and manage a team of data scientists and data engineers

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