Product Data Scientist - AI & Analytics
Quintessential Designs · Hyderabad · onsite · Posted 1d ago
Undisclosed4–9 yrsfulltimeSourced from
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About this role
About Quin
What youll do
Quin builds intelligent safety systems that combine hardware, software and real-time data to detect critical events and connect people to help when it matters most. Our products sit at the intersection of IoT, edge computing, and real-world human behaviour, generating rich datasets that power smarter decisions, better user experiences, and ultimately save lives.
The role Were hiring a Data Scientist to drive how Quin measures its products, and turn that data into AI our customers and team rely on every day.
Building on our existing data foundation, you ll lead execution on analytics across our core products. That covers everything from Amplitude instrumentation to the metrics, dashboards, and predictive modelling that drive product and marketing decisions.
From there, you ll help take data further with AI. You ll bring intelligent features into our products and explore how agents can build on your work: surfacing insights faster, scaling analysis across products, and opening up new ways for the team to use data. You ll decide where AI adds the most value, then design and ship it to run reliably in production.
Your work splits into three areas:
1. Instrumentation and metrics
- Own the tracking plan and event taxonomy across our core products.
- Implement Amplitude instrumentation client-side and server-side with engineering.
- Build pipelines from Amplitude and other sources into our warehouse, with data-quality checks.
- Define one documented metrics layer for activation, engagement, retention, conversion and LTV.
2. Analytics and dashboards
- Build real-time dashboards for product, marketing and leadership, each tied to a decision.
- Run the analysis behind product and marketing decisions: funnels, cohorts, retention and feature adoption.
- Collaborate with Marketing to design and read out A/B tests.
- Build predictive models for churn, segmentation, and conversion that feed product and lifecycle decisions.
3. AI on top of the metrics layer
- Bring AI features into our customer-facing products, working with engineering from prototype to production
- Build agents that run securely in isolated, containerised environments, with tightly scoped access to data and tools.
Analytics and data
- 4+ years in product analytics, data science or analytics engineering, ideally in a product-led company.
- Youve owned product instrumentation end to end in Amplitude, Mixpanel or similar: tracking plans, event design, implementation and governance.
- Expert SQL and strong Python.
- Experience modelling data in a cloud warehouse (BigQuery, Snowflake, Redshift or Postgres)
- Strong experimentation and statistics: A/B test design, power analysis, funnel and cohort analysis.
- Youve built dashboards that teams use to make decisions.
AI (hands-on experience required)
- Youve built and shipped at least one LLM-powered feature, agent or automation that real users rely on.
- Hands-on with LLM APIs (Anthropic, OpenAI or similar), including tool use or function calling, and retrieval (RAG).
- Experience building agents that connect to real data and tools, using frameworks and protocols such as MCP, LangGraph, or the Claude Agent SDK.
- Hands-on experience with a semantic layer tool such as dbt Semantic Layer or Cube.
- Experience in wearables or IoT products
- Work on a mission-driven product with real world impact.
- Shape Quins data and AI foundations from the ground up, with real ownership.
- Ship AI features that customers use in production.
- Work across product, engineering, marketing and leadership, not in a silo.
- Join a fast-moving team building at the edge of hardware and AI.
Disclaimer: This job posting has been aggregated from external source. Role details, content, and availability are subject to change. Applicants are advised to confirm the latest information directly on the company website before applying.
Sourced from naukri
Skills
data qualityTeam BuildingAutomationInstrumentationProduct EngineeringPrototypeAnalyticsPythonSQLProduct Marketing
About Quintessential Designs
Quintessential Designs
11-50
employees
2017
9 years old
London, England
United Kingdom
About
Quin builds technology that brings connected safety to helmet users. Unique patented sensor technology, advanced analytics and response systems log and categorise impacts and can automatically alert next of kin and emergency services. Users can enjoy recording activity and performance across a variety of metrics. The simplicity of design for integration into all helmet types makes this technology widely accessible and will revolutionise what will come to be expected from head protection.
Industries
Product DesignPublic SafetyService Industry
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