Eloelo Recruitment Drive 2025 | Eloelo Hiring Software Engineer

www.djobbuzz.com 12 Jun 2025

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Eloelo stands at the forefront of multi-host video and audio rooms, offering a unique blend of interactive experiences, including chat rooms, PK challenges, audio rooms, and captivating live games like Lucky 7, Tambola, Tol Mol Ke Bol, and Chidiya Udd.
Our platform has successfully attracted audiences from all corners of India, providing a space for social connections and immersive gaming.
In pursuit of excellence, Eloelo has secured a significant milestone by raising $22Mn in the month of October 2023 from a diverse group of investors, including Lumikai, Waterbridge Capital, Courtside Ventures, Griffin Gaming Partners, and other esteemed new and existing contributors.

We are looking for a highly skilled and creative Data Scientist to join our growing team and help drive data-informed decisions across our entertainment platforms.
You will leverage advanced analytics, machine learning, and predictive modeling to unlock insights about our audience, content performance, and product engagement—ultimately shaping the way millions of people experience entertainment.

Master’s or PhD in Computer Science, Statistics, Mathematics, Data Science, or related field.
1+ years of experience as a Data Scientist, ideally within media, streaming, gaming, or entertainment tech.
Proficiency in programming languages such as Python or R.
Strong SQL skills and experience working with large-scale datasets and data warehousing tools (e.g., Snowflake, BigQuery, Redshift).
Experience with machine learning libraries/frameworks (e.g., scikit-learn, TensorFlow, PyTorch).
Solid understanding of experimental design and statistical analysis techniques.
Ability to clearly communicate complex technical findings to non-technical stakeholders.

Develop and deploy machine learning models to solve key business problems (e.g., personalization, recommendation systems, churn prediction).
Analyze large, complex datasets to uncover trends in content consumption, viewer preferences, and engagement behaviors.
Partner with product, marketing, engineering, and content teams to translate data insights into actionable strategies.
Design and execute A/B and multivariate experiments to evaluate the impact of new features and campaigns.
Build dashboards and visualizations to monitor key metrics and provide stakeholders with self-service analytics tools.
Collaborate on the development of audience segmentation, lifetime value modeling, and predictive analytics.
Stay current with emerging technologies and industry trends in data science and entertainment.