Data Scientist - II

Eloelo; Bengaluru; On-site; INR 1,500,000 - 2,500,000; Full time

Benefits offered by this job

Direct impact on product strategy

Work on real-time consumer data

Opportunity to shape data culture

Learning and leadership exposure

Job summary

Eloelo is seeking a Senior Data Scientist to lead complex data analysis and influence product decisions. This role involves collaborating with product and engineering teams, mentoring junior members, and driving data practices. The ideal candidate has 4–6 years of experience in Data Science, and a strong proficiency in Python and SQL. Eloelo offers a high-ownership role with opportunities to shape data culture within a fast-growing startup.

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 experience 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 and end-to-end deployment of machine learning systems.

Responsibilities

• Lead end-to-end analysis of large, complex datasets to generate actionable insights.
• Partner with Product Managers to define success metrics and KPIs.
• Design and analyze A/B tests and experiments.
• Build and maintain advanced dashboards for teams.
• Develop predictive models and user behavior models.
• Identify engagement, retention, and monetization opportunities.

Skills

Data Science

Product Analytics

Python

SQL

Statistics

A/B testing

Communication Skills

MLOps tools

Tools

Pandas

NumPy

Scikit-learn

MLflow

Kubeflow

Docker

Kubernetes

Spark

BigQuery

Redshift

Snowflake

Job description

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