Applied Data Scientist

Role Overview

We are seeking an Applied Data Scientist / Analytics Engineer with 3 to 5 years of experience specializing in Data Science, Machine Learning, or Analytics. The position demands strong proficiency in Python and SQL to develop impactful data-driven solutions.

Key Responsibilities

• Conduct comprehensive exploratory data analysis on complex enterprise datasets.
• Design and develop business KPIs alongside analytical datasets to support organizational objectives.
• Engineer features effectively to enhance model accuracy and performance.
• Build advanced machine learning models such as anomaly detection, time series forecasting, risk scoring, and predictive analytics.
• Apply solid statistical knowledge to evaluate and validate the performance of models rigorously.
• Deploy machine learning models into production environments ensuring scalability and reliability.
• Utilize MLflow or equivalent tools to monitor and document experiment tracking.
• Develop analytical APIs to facilitate real-time model inference.
• Create insightful dashboards using Power BI or Tableau for data visualization and reporting.
• Monitor model health continuously to identify model drift and performance degradation.
• Handle unstructured, messy, incomplete, and very large datasets effectively.
• Collaborate closely with data engineers, machine learning leads, and business stakeholders to align analytical efforts with company goals.
• Translate complex model results into explanations easily understandable to non-technical audiences.
• Apply strong problem-solving abilities and root cause analysis to address data and modeling challenges.
• Use Git for version control to maintain codebase integrity.
• Familiarity with REST APIs is an advantage.
• Experience or interest in domains such as Power & Utilities, Smart Metering, SCADA/IoT, Banking Risk, Fraud Detection, Telecom, or Manufacturing is desirable but not mandatory.
• Commit to developing scalable, interpretable, and production-grade machine learning solutions.

Eligibility

This opportunity is open to any graduate interested in advancing their career in applied data science.