Data Scientist

Role Overview

This role is about taking a client's vague business problem, making it measurable, and turning it into a system their people rely on to make a decision. You own the problem end to end: framing it, engineering the features, modeling it, proving it moved the number that matters, and getting it into a form the client actually uses. You will focus on predictive analytics, decision intelligence, and the systems that put insight where decisions are made.

Responsibilities

• Shape a client's real challenge into a problem we can solve
• Engineer features and build models tied to outcomes that matter: productivity, better decisions, lower cost
• Design the experiments and metrics that show a value slice delivered
• Build the decision-intelligence and BI deliverables (PowerBI, Tableau) that surface insight at the point of decision
• Explain your reasoning, and your trade-offs, to client stakeholders
• Package, deploy, and monitor your own work

Requirements

• Ability to engineer features and build models tied to business outcomes
• Experience with designing experiments and metrics
• Proficiency in building BI deliverables
• Strong communication skills for consulting environments
• Experience with versioned, tested, and reviewed code
• MLOps mindset including monitoring, retraining, and drift management

Skills

• Python
• Scikit-Learn
• PyTorch
• PowerBI
• Tableau

Benefits

• Flexible schedule
• Work from home