Job Description
Why this role exists
nAlrightTV 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.
nIt is an Instagram-shaped dataset: high frequency, short-form, behaviourally rich, and almost entirely untapped.
nWe're looking for someone who wants to point up-to-date AI tooling at that data and see what falls out.
nNot someone who writes reports. Someone who ships models that change what the product does.
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nWhat you'll actually do
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- 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.n
- 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.n




- 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.n
- Own experimentation end to end — design the test, define the metric, call the result, defend it. Pricing, paywalls, onboarding, notification strategy, content merchandising.n
- 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.n
- Automate everything you do twice. Recurring analysis should run itself.n
- Make the numbers visible. Leadership needs to see the metrics that matter — but this is a byproduct of your work, not the job.n
- This is not a dashboard-building role.n
- Present to the room. You'll be in front of founders, growth, content and revenue leads regularly.n

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nBefore you apply
nYou need to have worked w

📌 Data Scientist (New Delhi)
🏢 Rusk Media
📍 New Delhi