Data Science

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
  • Ability to grasp business needs in order to prioritise tasks


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
  • Can independently design / execute experiments that target specific uncertainties; analyses and iterates on feedback to plan next set of experiments keeping quick deliverables in mind


Algorithm Validation and Quality Monitoring:

  • Formulate module-level metrics that each provide a unique view into the system-level indicator
  • Work with the engineering team to ensure various test pipelines are built as per the requirements


Programming:

  • Profession working expertise (internships considered) with at two languages out of Python / R / C++ / Scala
  • Knowledge of database technologies (Postgres / alternate SQL systems)
  • Knowledge of messaging / queuing systems (RabbitMQ / Kafka etc.)
  • Good code and Git hygiene


Data exploration / insights mining:

  • Ability to conduct open-ended as well as targeted data explorations to mine hidden insights
  • Proficiency in working with multiple tools for data exploration with various forms of unstructured data (free form text / time series data / streaming data etc.)


Task planning / delivery:

  • Ability to plan and execute own tasks keeping business objectives, impact, and deliverability in mind
  • Strong focus on communicating proactively about delays / roadblocks independently without need for follow-ups


Business acumen:

  • We consider this just as important as your technical skills: your ability to understand the business goals of your project so you can innovate and deliver
  • Ability to always prioritise business impact: delivering short, quick wins is encouraged over seeking absolute perfection in the DS models
  • Ability to understand unstated business problems, and to look at them as data science problems 


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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