Data Scientist

# Data Scientist ## Company Overview (Not specified) ## Job Summary We require a **Data Scientist** on loan staff engagement with strong expertise in data engineering, time series forecasting, machine learning frameworks, and large-scale data processing. The resource will work with internal teams to design, develop, and deploy data science solutions to support business-critical use cases. ## Responsibilities - Design, develop, and deploy data science solutions that enhance business decision-making. - Collaborate with internal teams to understand data needs and identify opportunities for leveraging data science. - Conduct time series forecasting and perform analysis for trend and seasonality detection. - Develop data pipelines and manage data versions using Databricks and Delta Lake. - Maintain high standards of data quality and validation through profiling and anomaly detection. - Implement configuration-driven development practices to ensure modular and reusable code. ## Qualifications - **Educational Qualifications**: Bachelor’s degree in Computer Science, Mathematics, Statistics, or a related field. - **Technical Skills**: - **Programming & Development**: - Advanced Python, including libraries like pandas and PySpark for data manipulation. - Advanced SQL for complex queries, window functions, and aggregations. - Proficient in Git/GitHub for version control and CI/CD practices. - Experience with Spark/PySpark for distributed data processing. - **Data Engineering & Platforms**: - Hands-on experience with Databricks for workspace management and cluster configuration. - Knowledge of Delta Lake, focusing on data versioning and ACID transactions. - Experience in developing ETL/ELT processes and workflow orchestration. - **Machine Learning / Data Science**: - Familiarity with MLflow for model tracking, versioning, and deployment. - Skills in feature engineering and time series analysis techniques. - Understanding of data quality frameworks and validation processes. - Proficiency in object-oriented programming (OOP) and testing frameworks. ## Preferred Skills - Experience with Docker for containerization and reproducible deployments. - Knowledge of monitoring and logging practices for data pipelines and ML models. ## Experience - A minimum of **4-7 years** of relevant experience in data science, data engineering, or related fields. ## Environment - This position is **remote** for the duration of **6 months**. ## Salary - The budget for this role is **1.4 Lakhs + GST**. ## Growth Opportunities (Not specified) ## Benefits (Not specified)