Data Scientist | Business Analyst (AI)

DUTIES AND RESPONSIBILITIES: 1. Discovery and Strategy to frame business use case ● Client Needs Translation & Problem Framing: ○ Work with clients and senior teammates to analyze business challenges, map workflows (service blueprints) to better understand customer journey in order to identify gaps and opportunities for AI/ML use cases. ● Data Exploration for Business Use Cases: ○ Proactively analyze and explore client data (or analogous public/industry data) to identify key data sources, assess data quality, and determine data readiness for AI/ML initiatives.

2. Inception Framework Delivery ● Why We Are Here: ○ Define initial AI/ML project objectives, scope, and success metrics from a business perspective, ability to bridge AI and ML into the business statement. ● The Elevator Pitch ○ Create a concise summary of the project’s value, target users, and primary differentiation.

● Product Vision & Scope ○ Establish a clear vision board and defi ne "In" vs. "Out" lists to manage expectations and prevent scope creep. ● Trade-off Sliders ○ Prioritize project constraints—Scope, Budget, Time, and Quality—to guide decision-making during the lifecycle.

● Roadmap Creation ○ Help create "What’s Next" plans and ROI (return on investment) models to show the value of the AI project. 3. Client Facing & Approaches ● Client Engagement &

Elicitation: ○ Facilitate client workshops, interviews, and discovery sessions to elicit detailed functional and non-functional requirements for A