Sr Spclst , Data Science

• Define and drive the long-term product vision, strategy, design and roadmap, aligning with business goals and user needs
• Define and monitor Product Success metrics and criteria at incremental product development phases, and product adoption
• Analyze customer feedback, query logs, and market trends to identify opportunities for product innovation and enhancement, delivering high impact solutions
• Translate business requirements into technical solutions, ensuring scalability, reliability, and maintainability of products
• Lead 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 the strategy, progress, and updates to senior leadership, partners, key stakeholder, ensuring alignment and transparency
• Lead creation of comprehensive playbook and training material to standardize and share SOPs with product development and other analytics teams
• Lead creation of benchmark techniques being deployed across multiple product development strategies
• Provide technical guidance and mentorship to junior members

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 8+ years relevant experience
• Master s degree (relevant field like Computer Science, Economics, Statistics, Mathematics, Operational Research) with 6+ years work experience
• 4+ 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
• Experience in Software Development and Engineering, and Analytics Delivery
• Expertise in developing scalable, secure, and modular product architectures
• Proficiency in designing & implementing data structure, pipeline & architecture
• Hands-on experience with product roadmaps, Agile methodologies and backlog management, ensuring iterative and incremental product improvements
• Strong Leadership, problem solving, critical thinking, and quantitative skills
• Story Boarding - Ability to effectively communicate proposals to key stakeholders
• Must have good understanding of end-to-end Pharma commercial landscape
• 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, A/B testing, propensity score matching etc.
• Experience working with healthcare, financial, or enterprise SaaS products
• Experience with Marketing Mix Modeling and optimization with underlying concepts such as ad-stock, decay, interaction and halo effects etc.