Data Scientist - II
Data Science
Posted on Jun 23, 2026
About Eloelo Group
Eloelo is building the future of live interactive entertainment, where real-time voice, video, and AI come together to create deeply engaging social experiences. Beyond live streaming, Eloelo is evolving into a platform for micro drama, micro learning, and narrative-driven content, enabling creators to tell short, high-impact stories and deliver bite-sized learning in interactive formats. Operating at massive scale, we are investing heavily in multimodal AI to redefine how users interact, express, learn, and connect in real time.
Role Overview
We are looking for a Senior Data Scientist who can own complex data problems end-to-end and influence product and business decisions through insights, experimentation, and modeling. You will partner closely with product, engineering, and leadership teams to shape strategy using data.This role is ideal for someone who has moved beyond reporting and can drive decisions, mentor junior members, and build scalable data practices.
Key Responsibilities
- Lead end-to-end analysis of large, complex datasets to generate actionable business insights
- Partner with Product Managers to define success metrics, KPIs, and north-star metrics
- Design and analyze A/B tests, experiments, and feature rollouts
- Build and maintain advanced dashboards for leadership and cross-functional teams
- Develop predictive models, segmentation, and user behavior models
- Identify growth, engagement, retention, and monetization opportunities
- Ensure data quality, governance, and best practices across teams
- Mentor junior data scientists and analysts
- Present insights and recommendations to senior stakeholders
Required Skills & Qualifications
· 4–6 years of hands-on experience in Data Science / Product Analytics roles
· Strong proficiency in Python (Pandas, NumPy, Scikit-learn)
· Excellent knowledge of SQL and working with large datasets
· Strong foundation in statistics, probability, and experimentation
· Experience with A/B testing frameworks and experimental design
· Proven ability to influence product decisions with data
· Strong communication and stakeholder management skills
· Experience with model orchestration, rigorous evaluation practices,and end-to-end productionization of machine learning systems
· Familiarity with MLOps tools (MLflow, Kubeflow, Docker, Kubernetes) for seamless model deployment and monitoring
Good to Have
- Experience with machine learning models (classification, regression, clustering)
- Exposure to recommendation systems or personalization
- Familiarity with big data tools (Spark, BigQuery, Redshift, Snowflake)
- Experience with consumer internet / media / gaming platforms
- Knowledge of data modeling and warehousing concepts
Why Join Eloelo
- High-ownership role with direct impact on product and growth strategy
- Work on large-scale, real-time consumer data
- Opportunity to shape data culture and analytics maturity
- Fast-growing startup with strong learning and leadership exposure
