Data Scientist

• Analyze large and complex datasets to identify trends, patterns, and business opportunities.
• Build, validate, and deploy machine learning models for predictive and prescriptive analytics.
• Develop data pipelines and workflows to support data collection, processing, and reporting.
• Collaborate with cross-functional teams including engineering, product, and business stakeholders.
• Create dashboards, visualizations, and reports to communicate findings effectively.
• Perform exploratory data analysis (EDA) and feature engineering.
• Monitor model performance and recommend improvements as needed.

• Bachelor’’s or Master’’s degree in Data Science, Computer Science, Statistics, Mathematics, Engineering, or a related field.
• 2+ years of experience in Data Science, Machine Learning, or Analytics roles.
• Strong proficiency in Python and SQL.
• Experience with Machine Learning frameworks such as Scikit-learn, TensorFlow, PyTorch, or XGBoost.
• Solid understanding of statistics, probability, hypothesis testing, and predictive modeling.
• Experience working with data visualization tools such as Tableau, Power BI, or Looker.
• Knowledge of cloud platforms such as AWS, Azure, or Google Cloud Platform (Google Cloud Platform).
• Experience handling structured and unstructured datasets.

Preferred Qualifications

• Experience with NLP, Deep Learning, Computer Vision, or Generative AI projects.
• Familiarity with big data technologies such as Spark, Hadoop, or Databricks.
• Experience deploying machine learning models in production environments.
• Knowledge of MLOps practices and tools.