Data Science

Senior Data Scientist (Remote)

Remote
Work Type: Full Time

About us:


Gamezop is game-publishing company based in Gurgaon. We are a team of about 80 and a family of 40M users monthly. Here's some recent coverage on us: https://gzp.gg/NNwnEb


We operate 3 products: Gamezop, Quizzop, and SkillClash. Here are a few links you can go through to get a sense of what we do:


1. Gamezop: https://play.gamezop.com

2. SkillClash: https://www.skillclash.com


3. Quizzop: https://www.quizzop.com



Job role:


Our work at Gamezop requires us to tackle challenging problems across real-money gaming and online advertising. Within our Data Science team, some of the problems we are working on solving are:

  • Churn prediction
  • Content recommendation
  • Fraud traffic detection
  • In-game cheat detection
  • Conversion probability prediction
  • NLP for scraped websites


We expect the following from you:


Hygiene Factors:

  • Good written and spoken English is a must
  • Should have at least 3 years of experience as a Data Scientist


Distributed Algorithms & Data Pipeline Engineering:

  • Good knowledge of the distributed computing paradigm and various technologies in the field (such as Apache Spark, MLlib, MapR)
  • Understanding of and adherence to programming best practices
  • Knowledge of database technologies, messaging queues (Postgres, Kafka, RabbitMQ)
  • Experience with executing ETL on multiple sources at scale


Data Science Algorithm Development:

  • Ability to quickly comprehend research papers and identify pros and cons of various proposed techniques
  • Ability to break down complex algorithm development tasks into smaller, modular chunks and prioritise plans to address each chunk
  • Set realistic timelines for projects - from EDA to delivery

Algorithm Validation and Quality Monitoring:

  • Formulate module-level metrics that each provide a unique view into the system-level indicator
  • Own maintenance of various algorithm test datasets -- end to end regression, feature regression, hold-out set etc.
  • Work with the engineering team to ensure various test pipelines are built as per the requirements

Programming:

  • Advanced expertise with Python
  • Familiar with any other languages such as R, C++, Scala is a plus
  • Good code and Git hygiene

Team Management:

  • Ability to plan and coordinate efforts of a small team
  • Should have led a small data science team before
  • Divide project into small tasks / steps
  • Identify and iron out dependencies within the company functions (DS / Engg / Product / Business)
  • Ability to propose business innovations by looking at data (as opposed to starting from a given business problem and solving it with data)


This bit is not mandatory at all, but experience with any of the following is a big plus:


  • Real-money gaming work experience
  • Data engineering for data warehouse creation

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