Eloelo - Data Scientist - Machine Learning (1-2 yrs)

Exciting Opportunity at Eloelo: Join the Future of Live Streaming and Social Gaming!

Are you ready to be a part of the dynamic world of live streaming and social gaming? Look no further! Eloelo, an innovative Indian platform founded in February 2020 by ex-Flipkart executives Akshay Dubey and Saurabh Pandey, is on the lookout for passionate individuals to join our growing team in Bangalore.

About Us :

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.

Recent Milestone :

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.

Why Eloelo?

- Be a part of a team that thrives on creativity and innovation in the live streaming and social gaming space.

- Rub shoulders with the stars! Eloelo regularly hosts celebrities such as Akash Chopra, Kartik Aryan, Rahul Dua, Urfi Javed, and Kiku Sharda from the Kapil Sharma Show and that's our level of celebrity collaboration.

- Working with a world class team ,high performance team that constantly pushes boundaries and limits , redefines what is possible

- Fun and work at the same place with amazing work culture , flexible timings , and vibrant atmosphere





About the Role :

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 engagementultimately shaping the way millions of people experience entertainment.

Key Responsibilities :

- 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.

Qualifications :

- Masters 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.

Preferred Qualifications :

- Experience building recommendation engines, content-ranking algorithms, or personalization models in an entertainment context.

- Familiarity with user analytics tools such as Mixpanel, Amplitude, or Google Analytics.

- Prior experience with data pipeline and workflow tools (e.g., Airflow, dbt).

- Background in natural language processing (NLP), computer vision, or audio analysis is a plus.

Why Join Us :

- Shape the future of how audiences engage with entertainment through data-driven storytelling.

- Work with cutting-edge technology on high-impact, high-visibility projects.

- Join a collaborative team in a dynamic and fast-paced environment where creativity meets data science.