Data Scientist

• Process and analyze large datasets using Hadoop/Spark distributed computing frameworks
• Design, build, and validate machine learning models to solve business problems
• Translate complex model outputs into actionable insights for business stakeholders
• Build and maintain scalable data pipelines to support ML workflows
• Collaborate with data engineers, analysts, and business teams
• Monitor and improve model performance post-deployment

We are looking for a skilled Data Scientist to join our team. You will work on large-scale datasets, build and deploy predictive models, and contribute to data engineering activities. The ideal candidate has a strong foundation in mathematics and statistics, hands-on experience with distributed computing, and the ability to communicate insights to non-technical stakeholders.

Must-Have Requirements

• 3-5+ years of experience as a Data Scientist or similar role
• Strong hands-on experience with Apache Spark and/or Hadoop for large-scale data processing
• Proficiency in Python and/or R for data science and ML development
• Experience building and deploying predictive models (regression, classification, clustering, time-series)
• Solid understanding of statistics and mathematics (linear algebra, probability, hypothesis testing)
• Experience with ML frameworks - Scikit-learn, XGBoost, TensorFlow, or PyTorch
• Experience building/maintaining data pipelines (Airflow, Kafka, dbt, or similar)
• Ability to explain model behavior and results to non-technical audiences

Nice-to-Have Skills

• Experience with cloud platforms - AWS, Azure, or Google Cloud Platform
• Familiarity with MLflow or similar model lifecycle management tools
• Experience with Scala for Spark development
• Data visualization tools - Tableau, Power BI, or Matplotlib/Seaborn
• Exposure to NLP or deep learning use cases

Education

• Bachelor’’s degree in Computer Science, Statistics, Mathematics, or related field (required)
• Master’’s or PhD preferred