Principal Data Scientist

highly skilled Data Scientist (5 8 years of experience)

This role involves conducting exploratory data analysis (EDA), feature engineering, and model development, along with collaborating closely with engineering and business teams to deliver impactful and production-ready data science solutions.

Key Responsibilities

• Perform exploratory data analysis (EDA) to uncover trends, patterns, and anomalies in large datasets.
• Apply statistical methods and hypothesis testing to generate actionable insights.
• Design, build, and validate machine learning models (regression, classification, clustering, etc.).
• Develop scalable data preparation and feature engineering pipelines for model training.
• Optimize model performance through hyperparameter tuning, feature selection, and validation.
• Work with Oracle databases, Oracle SQL, and related tools to extract, transform, and analyze data.
• Collaborate with data engineers and BI teams to integrate models into business applications and reporting layers.
• Evaluate model outcomes using appropriate metrics and refine models for deployment.
• Stay abreast of emerging trends in data science, ML, and AI, continuously enhancing analytical methodologies.
• Present findings and recommendations to business stakeholders in a clear and actionable format.

Required Skills & Experience

• Bachelor s or equivalent degree in Data Science, Computer Science, Information Technology, or a related field.
• 5 8 years of hands-on experience in data science, machine learning, or statistical analysis.
• Strong programming proficiency in Python or R for data analysis and model building.
• Solid understanding of machine learning algorithms (e.g., regression, decision trees, random forests, SVMs).
• Proficiency in statistical analysis, hypothesis testing, and probability theory.
• Experience in data preprocessing, feature engineering, and dimensionality reduction.
• Hands-on experience with ML libraries and frameworks (Scikit-learn, XGBoost, LightGBM, Statsmodels, etc.).
• Strong SQL skills, including experience working with Oracle Database and Oracle Analytics for data extraction and transformation.
• Experience handling large-scale structured and unstructured datasets.
• Exposure to model deployment, monitoring, or integration with enterprise systems.
• Excellent problem-solving, analytical, and communication skills with the ability to translate complex insights for business users.

Preferred Qualifications

• Experience working within Oracle data ecosystems (e.g., Oracle Autonomous Database, Oracle Data Science, or Oracle Analytics Cloud).
• Familiarity with big data technologies (Spark, Hadoop) for large-scale ML workloads.
• Experience with deep learning frameworks (TensorFlow, PyTorch).
• Exposure to MLOps, including CI/CD pipelines, model versioning, and lifecycle management.
• Understanding of A/B testing, experiment design, and data validation techniques.

We have an amazing team of 700+ individuals working on highly innovative enterprise projects & products. Our customer base includes Fortune 100 retail and CPG companies, leading store chains, fast-growth fintech, and multiple Silicon Valley startups.

ISO 9001:2015

People who work with us work with cutting-edge technologies while contributing success to the company as well as to themselves.