Ziff Davis Hiring Drive 2024 For Data Science Engineer | Location Mumbai

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Ziff Davis Hiring Drive 2024: Ziff Davis Hiring Drive 2024 for its Data Science Engineer. Ziff Davis Drive organizes off-campus drives for candidates in any batch. To apply, candidates should have a bachelor’s or advanced degree in Computer Science, Information Management, or a related field. if you are interested, please apply as soon as possible.

Company Name: Ziff Davis

Role: Data Science Engineer

Location: Mumbai

Experience: 1 – 5 years

Qualification: Bachelor or advanced degree in Computer Science, Information Management, or a related field.

Batch: Any

Job Type: Full Time

Salary: Best in Industry

Ziff Davis Hiring Drive 2024

Job Description:

  • Everyday Health Pro/PP is looking for a data science engineer joining our data science team to support data engineering, programming and testing of data science algorithms/applications.


  • A minimum of 2 years programming experience, with a focus on data manipulation and analysis.
  • Proficiency in programming languages: Python, Spark, SQL.
  • Knowledge of data science, including neural networks and large language models.
  • Proficient use of Git for version control, preferably GitHub.
  • Bachelor s or advanced degree in Computer Science, Information Management, or a related field


  • Application and Data Management (40%)
  • Oversee the operation of application workflows and databases within Databricks environments.
  • Establish efficient data pipelines from AWS, SQL, and Kinesis streaming.
  • Collaborate with Data Engineering, Business Intelligence, and Technology teams to architect applications and data flows.
  • Enhance computational efficiency and storage performance.
  • Data Science Programming (40%)
  • Implement application designs using Python or Spark.
  • Design, develop, and refine recommender systems and natural language processing models.
  • Evaluate algorithms through testing, perform comparisons, and conduct result analyses.
  • Manage GitHub for code deployment and version control.
  • Knowledge Management (20%)
  • Document and upkeep data science projects and programs.
  • Produce technical notes based on team discussions.
  • Facilitate coordination among team members across the US and India.

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