Data Science Manager

4 weeks ago

Gurugram, India Zupee Full time

About Zupee



We are the biggest online gaming company with largest market share in the Indian gaming sector’s largest segment — Casual & Boardgame. We make skill-based games that spark joy in the everyday lives of people by engaging, entertaining, and enabling earning while at play.


In the three plus years of existence, Zupee has been on a mission to improve people’s lives by boosting their learning ability, skills, and cognitive aptitude through scientifically designed gaming experiences. Zupee presents a timeout from the stressful environments we live in today and sparks joy in the lives of people through its games.


Zupee invests in people and bets on creating excellent user experiences to drive phenomenal growth. We have been running profitable at EBT level since Q3, 2020 while closing Series B funding at $102 million, at a valuation of $600 million. Zupee is all set to transform from a fast-growing startup to a firm contender for the biggest gaming studio in India.



Objectives of this Role:-


  • Build Data science capabilities at Zupee and take ownership of implementing ML based initiatives end to end.
  • Work closely with the business stakeholders to identify the potential Data science applications. Translate the business opportunities as DS projects and provide thought leadership.
  • Establish scalable, efficient, automated processes for model development, model validation and model implementation
  • Responsible for mentoring and managing the performance of the DS team. Building a collaborative environment and high-quality data culture
  • Collaborate with software engineering teams to design experiments, model implementations and new feature creation
  • Be the advocate for Data Science within Zupee. Mentor teams and share best practices and case studies
  • Continually look for improvements around new sources of data, potential DS partners, tools, talent and infrastructure.


What are we looking for:-


  • 8+ years of hands-on experience in data science using techniques including but not limited to regression, classification, NLP etc.
  • 2+ years of experience in managing a team of Data Scientists
  • Must have understanding of MLOps practices such as model deployment, model monitoring, optimization and model interpretability
  • Solid understanding of Python and common machine learning frameworks such as XGBoost, scikit-learn, PyTorch/Tensorflow.
  • Outstanding problem-solving skills, with demonstrated ability to think creatively and Strategically. • Self-motivated, results oriented individual with the ability to handle numerous projects
  • Technology-driven mindset, up-to-date with digital and technology literature, trends
  • Able to challenge the status quo diplomatically and bring teams along with strategy

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