Data Scientist - Surat, India - Netizens Technologies

Netizens Technologies
Netizens Technologies
Verified Company
Surat, India

2 weeks ago

Deepika Kaur

Posted by:

Deepika Kaur

beBee Recuiter


Description
Proven Experience as a Data Scientist (Preferably 2+ years), with a strong track

  • Record of delivering Impactful Datadriven solutions.
  • Strong Problem Solving, Quantitative, and Analytical skills
  • Solid knowledge of Data Science and Machine Learning fundamentals, with proven
  • Experience formulating Data Science solutions to business problems
  • Proven ability to recognize business needs and communicate with multiple
  • Stakeholders within the Product Management, Business, and Operations teams
  • Proficiency in programming languages such as Python or R, along with expertise in
  • Data manipulation, analysis, and visualization
  • Ability to deliver on tight timelines and move quickly with crossfunctional teams to
  • Execute on Decisions while Maintaining attention to detail
  • Experience in handling Warehouse operation data is an advantage.

Requirements:


  • Advanced degree in data science, statistics, computer science, or similar.
  • Extensive experience as a data scientist.
  • Proficiency in Python, Spark, Azure, AWS, Deep Learning, Machine Learning, MLOps
  • Indepth understanding of SQL.
  • Competent in machine learning principles and techniques.
  • Demonstrable history of devising and overseeing datacentered projects.
  • Ability to relay insights in layman's terms, such that these can be used to inform business decisions.
  • Outstanding supervision and mentorship abilities.
  • Capacity to foster a healthy, stimulating work environment that frequently harnesses teamwork.
  • Compliance with prevailing ethical standards

Benefits:


  • Commuter assistance
  • Flexible schedule
  • Leave encashment
  • Paid sick time

Salary:
₹25, ₹40,000.00 per month


Ability to commute/relocate:

  • Surat, Gujarat: Reliably commute or planning to relocate before starting work (required)

Experience:


  • Total work: 1 year (preferred)

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