Associate Specialist Data Science

Job Description

Primary Responsibilities

Drive product design and ensure consistent execution of product lifecycle processes from concept to launch ensuring user-centric solutions

Define and monitor Product Success metrics and criteria at incremental product development phases and product adoption

Facilitate 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 and success stories to key stakeholders

Lead creation of comprehensive playbook and training material to standardize and share SOPs with product development and other analytics teams

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

Lead creation of benchmark techniques being deployed across multiple product development strategies

Identify cutting-edge trends and best practices in the market to improve product positioning

Qualifications

Education & Work Experience Requirements:

Bachelors degree (in Engineering or related field such as Computer Science Data Science Statistics Business etc.) with at least 6 years relevant experience

Masters degree (relevant field like Computer Science Economics Statistics Mathematics Operational Research) with 3 years work 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 problem solving critical thinking business analysis and quantitative skills

Story Boarding - Ability to effectively communicate proposals to key stakeholders

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.

Required Skills:

Preferred Skills:

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