Associate Manager Data Science

As an Associate Manager Data Science, your primary responsibilities will include supporting product design and ensuring consistent execution of product lifecycle processes from concept to launch, aligning with cross-functional teams on product goals and roadmap planning, gathering user feedback to refine product features, evaluating technical feasibility of new product features, and identifying cutting-edge trends in the market to improve product positioning. You will also work on benchmark techniques deployment, create comprehensive playbooks, and support in standardizing SOPs with product development and analytics teams. Key Responsibilities: - Support product design and ensure consistent execution of product lifecycle processes - Define and monitor Product Success metrics at incremental product development phases - Collaborate cross-functionally with engineering, marketing, and sales teams to align on product goals and roadmap planning - Communicate progress, challenges, and learnings to key stakeholders - Gather user feedback to refine product features and evaluate technical feasibility of new features - Design and develop benchmark techniques for multiple product development strategies - Create and present comprehensive playbooks and training material for SOP standardization - Identify cutting-edge trends and best practices in the market to enhance product positioning Qualifications: - Bachelors degree in Engineering or related field (Computer Science, Data Science, Statistics, Business, etc.) with at least 3+ years relevant experience - Masters degree in relevant field (Computer Science, Economics, Statistics, Mathematics, Operational Research) with 2+ years work experience - 1+ years of Product Management or Software Development experience Skillset: - Strong proficiency in Python, SQL, and cloud-based environments (AWS, GCP, or Azure) - 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 - Ability to effectively communicate proposals to key stakeholders - Familiarity with analytics tools like Tableau, PowerBI, Dataiku - Desired skills in data science principles, machine learning, understanding of Pharma commercial landscape, Marketing Mix Modeling, and optimization concepts,