Full-Time

Associate Manager Data Science

Posted on 3/13/2025

Inventing for Life

Inventing for Life

No salary listed

Mid, Senior

Pune, Maharashtra, India

Category
Data Science
Data & Analytics
Required Skills
Dataiku
Microsoft Azure
Agile
Python
Data Science
Product Management
SQL
Tableau
AWS
Google Cloud Platform
Requirements
  • Bachelor’s degree (in Engineering or related field, such as Computer Science, Data Science, Statistics, Business, etc.) with at least 3+ years relevant experience
  • Master’s degree (relevant field like Computer Science, Economics, Statistics, Mathematics, Operational Research) with 2+ years work experience
  • 1+ Years of Product management or Software development experience
  • Strong proficiency in Python, SQL, and cloud-based environments (AWS, GCP, or Azure) is a must
  • Understanding of Software Development Lifecycle and Agile methodologies
  • Exposure to product roadmap design and product management
  • Understanding of data structure, pipeline & architecture
  • Strong problem solving, business analysis and quantitative skills
  • Story Boarding - Ability to effectively communicate proposals to key stakeholders
  • Understanding of analytics tools like Tableau, PowerBI, Dataiku etc.
Responsibilities
  • Support product design and ensure consistent execution of product lifecycle processes from concept to launch, ensuring user-centric solutions
  • Support defining and monitoring Product Success metric at incremental product development phases
  • Participate in cross-functional collaboration with engineering, marketing, and sales teams to align on product goals and roadmap planning for automation/improvements as per business needs
  • Effectively communicate progress, challenges, learning to key stakeholders
  • Gather user feedback to refine product features
  • Evaluate technical feasibility of new product features and enhancements
  • Ensure smooth handoff of product requirements to development teams
  • Support design and development of benchmark techniques being deployed across multiple product development strategies
  • Work with other members in team to create and present comprehensive playbook and training material to standardize and share SOPs with product development and other analytics teams
  • Support in identification of cutting-edge trends and best practices in the market to improve product positioning
Desired Qualifications
  • Experience with data science principles, machine learning (supervised and unsupervised) and GenAI algorithms, test-control analysis, propensity score matching etc.
  • Understanding of Pharma commercial landscape will be a plus
  • Experience with Marketing Mix Modeling and optimization with underlying concepts such as ad-stock, decay, interaction and halo effects etc.

Company Size

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Company Stage

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Total Funding

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Headquarters

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Founded

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