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