Data Scientist

1 Month ago • 1-3 Years

Job Summary

Job Description

As a Data Scientist at WinZO Games, you will be part of the Data Science team, building models and generating insights from data to solve business use cases. You will work in a fast-paced environment, managing multiple projects and driving execution. Responsibilities include building scalable models using ML techniques for churn prediction, fraud detection, image processing, and recommendation systems. You will also interpret data, communicate actionable insights, conduct A/B experiments, and come up with data products to improve the overall app economy. The role requires initiative, complete ownership, and effective communication with stakeholders. This role offers the opportunity to work on challenging problems and be part of a tech revolution.
Must have:
  • Knowledge of classical ML, Python, SQL
  • Strong logical, mathematical, and analytical abilities
  • Strong verbal and written communication skills
Good to have:
  • Knowledge on Big data tools, CV, DL is a plus
  • Prior history of ML courses/kaggle projects is a plus
Perks:
  • A flat and transparent culture with an incredibly high learning curve
  • A swanky informal workspace which defines our open and vibrant work culture
  • Opportunity to solve new and challenging problems with a high scope of innovation
  • Complete ownership of the product and chance to conceptualize and implement your solutions
  • Opportunity to work with incredible peers across departments and be a part of the Tech revolution
  • A chance to be associated with big impact early in your career

Job Details

About WinZO Games
WinZO is India’s largest social gaming platform aiming at building an astronomical tech strong gaming ecosystem in India. WinZO in a short span of time has emerged as the leanest Series C funded gaming startup in the Indian startup ecosystem. WinZO has so far raised over $100MM and handles more than 4+ Bn micro transactions monthly, a number which is fast growing. WinZO with a data driven DNA is working towards becoming the one-stop-shop for online gaming users spread across every household in Bharat. With a vision of becoming a household name for Bharat, catering to their entertainment needs through interactive engagements, Paavan Nanda (Co-Founder, WinZO, Zostel & ZO Rooms) and Saumya Singh Rathore (Co-Founder, WinZO, Ex-Chief of Staff & Growth- ZO Rooms, Zostel, Ex-Times Group), are aggressively building the platform to not just capture market opportunities but also explore and maximize potential of social interactions as consumption drivers. Both of them are putting together WinZO piece by piece using tech and data to create a transparent and unique gaming experience for its users.
WinZO, which hosts 100+ games in 12+ languages, has 80% users consuming the app in vernacular languages. WinZO has always yearned to mentor, guide and onboard games to be culturally relevant for Bharat. It also provides opportunities for housewives to translate and earn which empowers them economically. A 150+ members strong team with stellar professionals coming from global tech giants and companies such as Google, Amazon, Flipkart, McKinsey etc., WinZO is funded and backed by global gaming and entertainment investment funds such as Griffin Gaming Partners, Maker’s Fund, Courtside Ventures, Pags Group and Kalaari.
WinZO is continually working towards revolutionizing the gaming ecosystem by creating a complete entertainment package through a slew of interactive features. Speaking of the larger picture the platform is driving unique initiatives that are constantly attempting to nurture and groom developers.
WinZO Values:
Integrity, Excellence Perseverance, Fine Judgment, Agility
About the Role:
As a part of Data Science team at WinZo, you will be working on building models to solve business use cases, generating insights from data. We have problems ranging from Recommender systems to Computer vision to social network analysis. You will be working in a fast-paced environment which will require you to take initiatives with complete ownership, manage multiple projects, and drive execution with stakeholders.
What you will do:
● Build highly scalable models using ML techniques for solving various business use cases like churn prediction, fraud detection, image processing, recommendation systems, user segmentation
● Interpret data, analyze results using statistical techniques and effectively communicate actionable insights to grow the product
● Conduct A/B experiments, identify and tweak growth levers and measure impact statistically
● Come up with data products and solutions to improve the overall economy of the app
What you should have:
We’re looking for people with a hustler mindset, who are curious, eager to learn new things, with a passion for innovation, and work to be a little better every single day. This is not solely based on whether a candidate has previously done similar work or not. We’re looking for someone dynamic with below qualities in generous quantities to perform well in this role –
● Knowledge of classical ML, Python, SQL
● Strong logical, mathematical and analytical abilities
● Strong verbal & written communication skills
● Knowledge on Big data tools, CV, DL is a plus
● Prior history of ML courses/kaggle projects is a plus
● A learning attitude, curiosity and enthusiasm for working with data and readiness to get their hands dirty
What we offer you:
● A flat and transparent culture with an incredibly high learning curve
● A swanky informal workspace which defines our open and vibrant work culture
● Opportunity to solve new and challenging problems with a high scope of innovation
● Complete ownership of the product and chance to conceptualize and implement your solutions
● Opportunity to work with incredible peers across departments and be a part of the Tech revolution
● Most importantly, a chance to be associated with big impact early in your career
At our core, we’re a creative company. Ideas are where we live, and we love building magical products. It’s not just about features, it’s also about how they make people feel. So, we build at the intersection of the technical and the romantic. And it all starts with people, the right team that cares deeply about our mission, values and our users. We value diversity. We are an equal opportunity employer: we do not discriminate based on race, color, religion, gender, ethnicity, or disability status.
Download our app for a better understanding - https://www.winzogames.com/

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