Data Scientist

Company Description Criclive.in is a dedicated cricket platform built to deliver the fastest live, ball-by-ball commentary on the internet, matching the speed of live telecasts so fans never miss a moment. Over time, it has expanded into a comprehensive cricket destination, offering in-depth features, analytical write-ups, and timely news from across the cricketing world. The platform is designed to keep fans closely connected to the sport through rich content and real-time updates. A key highlight is its vibrant fan discussion page, where cricket enthusiasts from around the world share opinions, celebrate milestones, and debate key moments. At Criclive.in, the focus is on creating an immersive experience where the game is not just followed, but lived together as a community.
Role Description This is a full-time, on-site Data Scientist role based in Janakpuri. The Data Scientist will work with large volumes of cricket-related and user interaction data to generate insights that enhance live commentary, content personalization, and fan engagement. Day-to-day responsibilities include collecting, cleaning, and structuring data; designing and implementing statistical models; and building dashboards or visualizations that inform editorial, product, and marketing decisions. The role involves collaborating with cross-functional teams to identify data-driven opportunities, test hypotheses, and measure the impact of new features or initiatives. The Data Scientist will also help establish best practices for data governance, documentation, and performance monitoring across the organization.
Qualifications
Strong foundation in Data Science and Statistics, with the ability to design experiments and build predictive or descriptive models.
Proficiency in Data Analytics and Data Analysis, including cleaning, transforming, and interpreting complex datasets for actionable insights.
Experience with Data Visualization, using tools or libraries to create clear, interactive dashboards and reports for non-technical stakeholders.
Hands-on skills with programming languages commonly used in data work (such as Python or R) and familiarity with SQL and data querying.
Knowledge of machine learning techniques, model evaluation, and deployment practices is highly beneficial.
Bachelor’s or master’s degree in a quantitative field (such as Computer Science, Statistics, Mathematics, Data Science, or related discipline).
Ability to communicate analytical findings clearly, work collaboratively in cross-functional teams, and manage multiple projects efficiently.
Interest in cricket and sports analytics is a strong advantage, along with prior experience in media, streaming, or consumer internet products.

Work arrangement
No