Networth Data Products Hiring Drive 2024 For Data Scientist | Location Bengaluru

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Networth Data Products Hiring Drive 2024: Networth Data Products Hiring Drive 2024 for its Data Scientist. Networth Data Products Drive organizes off-campus drives for candidates in any batch. To apply, candidates should have a B.Tech/B.E. degree in Any Specialization and, a B.Sc degree in Any Specialization. if you are interested, please apply as soon as possible.

Company Name: Networth Data Products

Role: Data Scientist

Location: Bengaluru

Experience: 1 – 5 years

Qualification: B.Tech/B.E. in Any Specialization, B.Sc in Any Specialization

Batch: Any

Job Type: Full Time

Salary: 5.4 LPA (Expected)

Networth Data Products Hiring Drive 2024

Job Description:

  • We are looking for 2018 and later graduates
  • Above position is expected to implement Data Transformation and Data Science integration using python based pipelines deployed using cloud services
  • Data Extraction, Transformation, Feature Engineering and algorithm development are the key responsibilities


  • 1 – 5 years of experience in quantitative analytics or data modeling
  • Deep understanding of at least 2 supervised or unsupervised learning algorithms – predictive modeling, machine-learning, clustering and classification techniques
  • Fluency in written and spoken English
  • Customer Focus
  • Good verbal & written English communication
  • Ability to work with globally diverse teams
  • Readiness to work in flexible work timings
  • Abstract & Analytical Thinking
  • An interpersonal savvy. A very good team player
  • Nimble learning. Willingness to explore and adapt
  • Bachelor’s degree or equivalent experience in Quantitative or Technical field (Statistics, Mathematics, Finance, Computer Science, Engineering, etc.)
  • Hands on understanding of MS Excel and MS PowerPoint
  • Very strong @ SQL and Python
  • Interaction with various file formats and databases
  • Files Processing – XML, CSV, Excel, Jason, etc. Formats
  • Structured and Non-Structured Data processing


  • Analyze raw data: assessing quality, cleansing, structuring for downstream processing
  • Collaborate with business, design and engineering teams to bring analytical prototypes to production
  • Design accurate and scalable prediction algorithms
  • Generate actionable insights for business improvements

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