Senior Data Scientist

We are looking for a highly skilled Senior Data Scientist with strong expertise in PySpark, Machine Learning, and Big Data technologies to design, build, and deploy production-grade machine learning solutions. The ideal candidate will have hands-on experience working with cloud platforms and MLOps practices in real-world environments.

Key Responsibilities

• Design, develop, and deploy scalable machine learning models for production use
• Work extensively with PySpark and Apache Spark for large-scale data processing
• Build and optimize end-to-end ML pipelines on cloud platforms
• Apply advanced statistical, machine learning, and deep learning techniques
• Develop and maintain production-grade ML systems
• Collaborate with data engineers, software engineers, and business stakeholders
• Implement MLOps/DevOps practices including CI/CD pipelines
• Monitor, evaluate, and improve model performance in production

Required Skills

• Strong proficiency in Python & PySpark
• Solid understanding of Machine Learning & Statistics
• Hands-on experience with Apache Spark, Hadoop, Kafka
• Experience with Big Data platforms: AWS / Google Cloud / Azure / Oracle Cloud

Expertise in ML techniques:

• Tree-based models (XGBoost, Random Forest, LightGBM)
• Deep Learning (CNNs, RNNs, GNNs, Transformers)
• Reinforcement Learning and Unsupervised Learning
• Experience in building production-ready ML models
• Knowledge of MLOps / DevOps tools: Docker, Kubernetes, CI/CD
• Familiarity with TensorFlow / PyTorch / Scikit-learn

Qualifications

• Bachelors or Masters degree in a STEM discipline
• 4 to 6 years of experience as a Data Scientist or ML Engineer
• Proven track record of delivering ML solutions in production

Preferred Skills (Good to Have)

• Experience with MLflow, Kubeflow
• Cloud certifications (AWS/GCP/Azure)
• Experience working in Agile/Scrum teams