Data Scientist

Role Overview

The role involves building digital solutions for various HR processes and workflows, designing and maintaining backend data systems, and leveraging predictive models and machine learning to drive business impact.

What You Will Do

As a Data Scientist, you will build digital solutions, design and maintain backend data systems, and work with various business stakeholders to understand their individual needs and design custom solutions.

Why It Might Be a Fit

You’re a fit for the role of Data Scientist if you have at least 2-4 years of experience working in the data science domain, knowledge of advanced statistical modelling, and experience developing applications using React and FastAPI.

Requirements

• Must have at least 2-4 years of experience working in the data science domain
• Knowledge of advanced statistical modelling, testing, data mining, and data science techniques
• Has used modelling frameworks including Scikit-learn, PyTorch, and TensorFlow
• Highly proficient in Python and SQL (or any other querying language)
• Has advanced Excel and PowerPoint skills
• Experience developing applications using React and FastAPI is a plus
• Experience developing AI-powered workflows or tools (e.g., LLM-based agents, automation pipelines) is a plus
• Strong logical and scientific approach to problem-solving
• Excellent organizational, analytical and problem-solving skills
• Ability to communicate complex results in a simple and concise manner at all levels within the organization
• Ability to excel in a fast-paced, startup-like environment
• Has experience building machine learning algorithms and implementing models in production
• Conceptual understanding of Hadoop and cloud computing like AWS
• Demonstrated participation on platforms like Kaggle is a plus
• Experience using Amazon Web services is a plus
• Experience with one or more of the following types of business analytics applications:
• Sentiment Analysis and Topic Modelling
• Predictive Modelling
• Customer Segmentation / Profiling
• Designing & Implementing AI/LLM workflows, including prompt engineering
• Recommendation engines

Benefits

• Hybrid Work Model
• Flexibility & Work-Life Balance
• Career Development and Growth
• Industry Competitive Benefits
• Culture
• Social Impact
• Making a Real-World Impact

Tagged as: Excel, Python, SQL