Senior Data Scientist

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.

About The Job

Role: Senior Data Scientist

Reports to: Data Science Manager

Location: Gurgaon

Responsibilities:

- Responsible for designing, developing, testing and deploying ML models that can leverage multiple signal sources, to build a personalized user experience.

- Work closely with the business stakeholders to identify the potential Data science applications.

- Contribute by doing opportunity analysis, building project proposals, designing and implementation of ML projects, in the areas of Ranking, Embeddings, Recommendation engines etc

- Collaborate with software engineering teams to design experiments, model implementations and new feature creation.

- Clearly communicate technical details, strategies, and outcomes to a business audience

Requirements:

- 5+ years of hands-on experience in data science using techniques including but not limited to regression, classification, NLP etc.

- Previous experience in model deployment, model monitoring, optimization and model interpretability.

- Expertise with Random forests, Gradient boosting, KNN, Regression and unsupervised learning algorithms

- Experience in using Neural Networks like ANN, RNN, Reinforcement Learning or Deep Learning etc.

- Solid understanding of Python and common machine learning frameworks such as XG Boost, scikit-learn, PyTorch / Tensorflow

- Outstanding problem-solving skills, with demonstrated ability to think creatively and strategically.

- Technology-driven mindset, up to date with digital and technology literature, trends.

- S/he must have knowledge of Experimentation and Basic Statistics.

- S/he must have experience in Predictive Analytics.