Assistant Manager - Data Science

LatentView; Bengaluru; On-site; INR 1,800,000 - 3,000,000; Full time

Job summary

LatentView in Bengaluru and Chennai seeks an Assistant Manager - Data Science to lead product-led growth initiatives, analyzing user behavior and designing experiments to drive acquisition, activation and retention. The role collaborates with product, design and engineering teams to deploy data pipelines, build dashboards, and translate insights into actionable strategies.

7+ years in data science or related fields expected, with strong SQL, Python, ML, statistics and A/B testing skills to shape

Qualifications

• 7+ years of experience in data engineering/science, machine learning, or related quantitative roles.
• Proficient in SQL, Python, statistics, ML models and rigor in experimentation.
• Familiar with AI coding tools like Claude Code and Github Copilot.

Responsibilities

• Analyze product usage patterns to understand user interaction with our products.
• Partner with product and engineering teams to improve free trial onboarding and skill-building.
• Identify and optimize PLG metrics including conversion, activation, engagement, and retention.
• Design and analyze A/B and multivariate experiments to refine features.
• Use statistics to validate hypotheses and ensure reliable results.
• Develop models for revenue attribution, propensity to convert, and churn.
• Build user segmentation models for high-value cohorts.
• Collaborate with data engineers to deploy data pipelines and dashboards.

Skills

SQL

Python

AI/ML models

Statistics

A/B tests

multivariate experiments

Claude Code

Github Copilot

Job description

Designation

Assistant Manager - Data Science.

Level

L3

Location

Bengaluru, Chennai

Experience

7+ years of experience in data engineering/science, machine learning, or related quantitative roles.

Job Role

Our Team is looking for an expert Sr. Growth Data Scientist who is passionate about data and has the desire to provide an exceptional product experience for our Digital Products through a product-led growth (PLG) strategy. Using extensive product usage data sets, you will partner directly with product managers, designers, engineers, and product marketing managers to align data insights with growth objectives. In this role, you will analyze user behavior, design growth experiments, and provide actionable insights recommendations to improve customer acquisition, engagement, and retention.

Responsibilities

• Analyze product usage patterns to better understand how users are interacting with our products and surfaces.
• Partner closely with product and engineering teams to find opportunities to improve our free trial, user onboarding, and skill-building experiences.
• Identify and optimize product-led growth success metrics including free-to-paid conversion, activation, engagement, and retention rates.
• Design and analyze A/B tests and multivariate experiments to refine product features and improve user experiences.
• Use statistical methods to validate hypotheses and ensure reliable experimentation results.
• Develop models to support revenue attribution for test variant winners, propensity to convert, and customer churn.
• Build user segmentation models to identify high-value user cohorts.
• Collaborate with data engineers to deploy efficient data pipelines to inform accurate timely decision making.
• Build and maintain dashboards to support self-service access to test results and insights.
• Act as a trusted advisor to product-led growth partners, translating complex data insights into actionable strategies.

Required skills

• SQL, Python, AI/ML models, Statistics, A/B tests and multivariate experiments
• AI Coding tools like Claude Code, Github copilot

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.