Data Scientist

Data Scientist (2+ Experience)

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