Data Scientist

Gray Matter

Experience: 5+ years

Role: Permanent

Location: Bangalore, INDIA

Key Responsibilities :
• Model Development: Design and implement ML models to tackle complex business challenges.
• Data Preprocessing: Clean, preprocess, and analyze large datasets for meaningful insights and model features.
• Model Training: Train and fine-tune ML models using various techniques including deep learning and ensemble methods.
• Evaluation and Optimization: Assess model performance, optimize for accuracy, efficiency, and scalability.
• Deployment: Deploy ML models in production, monitor performance for reliability.
• Collaboration: Work with data scientists, engineers, and stakeholders to integrate ML solutions.
• Research: Stay updated on ML/AI advancements, contribute to internal knowledge.
• Documentation: Maintain comprehensive documentation for all ML models and processes.

Must Have :
• Education: Bachelor’s, Master’s, or Ph.D. in Computer Science, Machine Learning, Data Science, or a related field.
• Professional Experience: Full-stack Data Scientist with a track record in ML model development and deployment in production. Experienced in architecting solutions with CI/CD processes.
• Proficiency: Proficiency in programming languages, Python is a must know. Proficient in Azure Databricks.
• Data Science Skills: Experience in data preprocessing, feature engineering, model building and model evaluation.
• Cloud and Containerization: Knowledge of cloud platforms and familiarity with containerization technologies, such as Docker.
• Software Development Practices: Familiarity with software development practices, version control, and agile methodologies.
• Distributed Computing: Familiarity with distributed in-memory computing technologies.

Good to Have: :
• Experience with Big Data and analytics using technologies like Hadoop, Spark, etc.
• Proficient in Spark, familiar with deep learning frameworks like TensorFlow, PyTorch, etc
• Additional experience or knowledge in AI/ML technologies beyond the mentioned frameworks.
• Enhanced expertise in SQL.