Associate Manager Data Science

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

Qualifications

Education & Work Experience 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

Skillset:

Candidates must have:

• Strong proficiency in Python, SQL, and cloud-based environments (AWS, GCP, or Azure) is a must. Experience with APIs, microservices, and DevOps practices is a plus
• 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

Candidates are desired but not mandatory to have:

• 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

Required Skills:

Business Intelligence (BI), Database Design, Data Engineering, Data Modeling, Data Science, Data Visualization, Machine Learning, Software Development, Stakeholder Relationship Management, Waterfall Model