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Data Science & Data Visualization Lead

Turn emotional intelligence data into dashboards, insight, visual storytelling, and measurable enterprise value.

Overview

We’re looking for a Data Science & Data Visualization Lead to help turn eClapper’s emotional intelligence data into insight, evidence, and product value.

You’ll work on the systems that show how moods are distributed, how recommendations change, how users interact, and how Emotional AI creates measurable impact.

This role is part data science, part product analytics, part visual storytelling.

If you love transforming complex data into clear dashboards, powerful insights, and beautiful visual systems, this role is central to how eClapper proves its value.

What You’ll Do

  • Design analytical frameworks to measure the impact of Emotional AI on engagement, retention, conversion, and recommendation relevance.

  • Build dashboards and data visualizations for internal teams, clients, investors, and product demos.

  • Analyze mood data, interaction patterns, content profiles, and recommendation outcomes.

  • Collaborate with AI and engineering teams to structure data pipelines and measurement systems.

  • Create visual models that explain emotional distribution, user states, content matching, and geographic

  • mood patterns.

  • Support A/B testing, pilot measurement, and enterprise reporting.

  • Translate complex datasets into clear stories for business and product teams.

  • Help define KPIs and success metrics for client deployments.

  • Ensure data quality, consistency, and credibility across reporting systems.

What We’re Looking For

  • 4+ years of experience in data science, analytics engineering, business intelligence, or data visualization.

  • Strong ability to work with complex datasets and turn them into actionable insights.

  • Experience with dashboards, data storytelling, product analytics, or executive reporting.

  • Strong SQL and Python skills.

  • Experience with data visualization tools and modern analytics workflows.

  • Ability to communicate clearly with technical and non-technical stakeholders.

  • Strong visual sensitivity and ability to make data understandable.

  • Comfort working in a fast-moving, early-stage product environment.

Nice to Have

  • Experience with AI products, recommendation systems, personalization, media analytics, streaming platforms, e-commerce, or behavioral data.

  • Experience with tools like Tableau, Power BI, Looker, Observable, D3.js, Plotly, Superset, or custom dashboard development.

  • Experience with experiment design, A/B testing, cohort analysis, retention analysis, or funnel analysis.

  • Interest in emotional data, human behavior, psychology, entertainment, or decision science.

  • Ability to collaborate with designers to create premium, investor-ready visual interfaces.

  • Experience creating geographic, heatmap, network, or multidimensional visualizations.

About eClapper

eClapper is building Emotional AI for digital matching.

Our core technology, eCmm, integrates with existing recommendation and personalization systems through API and helps platforms match users with content, products, or services based on real-time emotional context.

We believe the next frontier of personalization is not only behavioral. It is emotional, contextual, and human.

How to Apply

Send us your LinkedIn profile, CV, and a short note explaining why you believe Emotional AI can change how platforms understand users.

We’d also love to know which markets, companies, or relationships you believe eClapper should approach first.

Apply now

Apply now