Data Scientist

Data Scientist (2+ Experience)

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Role Overview

We are looking for Data Scientists with strong foundations in mathematics, statistics, and scalable data engineering, along with hands-on experience in Python, PySpark, SQL, and ML lifecycle tools like MLflow.

Key Responsibilities

• Build and evaluate machine learning models
• Perform EDA and data preprocessing
• Develop scalable pipelines using Python & PySpark
• Track experiments and manage models using MLflow
• Write optimized SQL queries for data extraction and transformation
• Apply statistical methods for insights and validation

Technical Skills (Must-Have)

Programming & Tools

• Strong Python (Pandas, NumPy, Scikit-learn)
• Working knowledge of PySpark
• Strong SQL skills
• Familiarity with MLflow:
• Experiment tracking (logging params, metrics)
• Model versioning
• Basic model registry usage

Mathematics & Statistics

• Hypothesis testing, probability distributions
• Descriptive & inferential statistics

Machine Learning

• Regression, classification, clustering
• Model evaluation metrics

Good to Have

• Experience with visualization tools (Matplotlib, Seaborn, Tableau)
• Basic knowledge of cloud platforms (AWS/GCP/Azure)
• Exposure to NLP or Deep Learning

Education

Bachelor’s or Master’s in Data Science or related field

Key Traits

• Strong analytical thinking with a data-driven approach to problem-solving
• Curious and eager to learn new tools, techniques, and methodologies
• Good communication skills to explain insights to non-technical stakeholders
• Collaborative team player with a proactive attitude
• Detail-oriented with focus on data quality and accuracy
• Takes ownership and delivers tasks effectively within timelines