Data Scientist (India)

Data Scientist (India)

19 Aug
|
Rusk Media
|
India

19 Aug

Rusk Media

India

Why this role exists
AlrightTV is a subscription-first microdrama platform. Millions of viewing events a day, across India and now Kenya — every scroll, swipe, drop off, rewatch, payment attempt and retry lands in our warehouse at event grain.
It is an Instagram-shaped dataset: high frequency, short-form, behaviourally rich, and almost entirely untapped.
We're looking for someone who wants to point up-to-date AI tooling at that data and see what falls out.
Not someone who writes reports. Someone who ships models that change what the product does.

What you'll actually do
Build models that run in production — churn and conversion prediction, LTV, propensity-to-pay, content ranking and recommendation, watch-time optimisation. Models that make decisions, not slides.
Work with LLMs and agentic workflows as a daily tool — for content understanding and tagging, for user-behaviour summarisation, for automating your own analysis loop. If you're faster because you've built your own tooling around AI, that's the point.
Segment and understand a user base at scale — behavioural cohorts,



engagement archetypes, early-signal detection on who converts and who churns in the first 72 hours.
Own experimentation end to end — design the test, define the metric, call the result, defend it. Pricing, paywalls, onboarding, notification strategy, content merchandising.
Turn ambiguous business questions into structured problems. "Why did trial conversion drop in Kenya" is the input. The output is a defensible answer and a change to the product.
Automate everything you do twice. Recurring analysis should run itself.
Make the numbers visible. Leadership needs to see the metrics that matter — but this is a byproduct of your work, not the job.
This is not a dashboard-building role.
Present to the room. You'll be in front of founders, growth, content and revenue leads regularly.

Before you apply
You need to have worked with extremely large interaction datasets — billions of user events, not aggregate

📌 Data Scientist (India)
🏢 Rusk Media
📍 India

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