Data Scientist - I

As a Technical lead - Data Scientist at our company, you will focus on analyzing structured datasets and developing predictive models using Python-based ML frameworks. Your main responsibilities will include extracting insights from structured data, building machine learning models, and optimizing data-driven decision-making. Key Responsibilities: - Develop ML models for structured data analysis. - Implement data preprocessing pipelines using Python (Pandas, NumPy). - Optimize feature engineering for structured datasets. - Work with SQL databases and data warehouses (Snowflake, BigQuery). - Train and evaluate models using Scikit-learn, TensorFlow, or PyTorch. - Deploy ML models using MLOps frameworks (MLflow, Kubeflow). - Collaborate with data engineers and analysts to ensure data quality. - Perform hyperparameter tuning and model optimization. - Ensure data security, governance, and compliance. Qualifications Required: - Proficiency in Python programming for ML and data manipulation. - Strong SQL skills for structured data querying. - Experience with ML frameworks such as Scikit-learn, TensorFlow, PyTorch. - Knowledge of ETL processes for structured data. - Understanding of data warehousing concepts. - Familiarity with cloud platforms like AWS, Azure, GCP. In addition to the above, you will have the opportunity to work in a hybrid model, spending 8 days per month in the office either in Chennai or Pune. --- As a Snowflake and Python Developer at our company, you will be responsible for designing, developing, and optimizing data solutions using Snowflakes cloud data platform and Python-based ETL processes. Your role will involve developing ETL/ELT pipelines, designing data models in Snowflake, writing SQL queries, integrating data sources, ensuring data security and governance, and collaborating with other team members to build scalable solutions. Key Responsibilities: - Develop ETL/ELT pipelines using Python and Snowflake. - Design and implement data models and schemas in Snowflake. - Write and optimize SQL queries for data transformation and reporting. - Integrate data from various sources into Snowflake. - Implement Snowflake Tasks and Streams for real-time data processing. - Ensure data security, governance, and compliance. - Collaborate with data engineers and analysts to build scalable solutions. - Perform performance tuning and query optimization in Snowflake. - Automate workflows using Python scripts. Qualifications Required: - Strong SQL proficiency for Snowflake. - Proficiency in Python programming for data manipulation and automation. - Experience with ETL tools like Apache NiFi, Talend, Fivetran. - Knowledge of cloud platforms such as AWS, Azure, GCP. - Understanding of data warehousing concepts. - Familiarity with Snowflake features like Snowpipe, Streams, and Tasks. In both roles, experience with data visualization tools, knowledge of data governance frameworks, and familiarity with machine learning workflows are preferred qualifications. If you meet these qualifications and are able to work in a hybrid model, we encourage you to share your resume with us. As a Technical lead - Data Scientist at our company, you will focus on analyzing structured datasets and developing predictive models using Python-based ML frameworks. Your main responsibilities will include extracting insights from structured data, building machine learning models, and optimizing data-driven decision-making. Key Responsibilities: - Develop ML models for structured data analysis. - Implement data preprocessing pipelines using Python (Pandas, NumPy). - Optimize feature engineering for structured datasets. - Work with SQL databases and data warehouses (Snowflake, BigQuery). - Train and evaluate models using Scikit-learn, TensorFlow, or PyTorch. - Deploy ML models using MLOps frameworks (MLflow, Kubeflow). - Collaborate with data engineers and analysts to ensure data quality. - Perform hyperparameter tuning and model optimization. - Ensure data security, governance, and compliance. Qualifications Required: - Proficiency in Python programming for ML and data manipulation. - Strong SQL skills for structured data querying. - Experience with ML frameworks such as Scikit-learn, TensorFlow, PyTorch. - Knowledge of ETL processes for structured data. - Understanding of data warehousing concepts. - Familiarity with cloud platforms like AWS, Azure, GCP. In addition to the above, you will have the opportunity to work in a hybrid model, spending 8 days per month in the office either in Chennai or Pune. --- As a Snowflake and Python Developer at our company, you will be responsible for designing, developing, and optimizing data solutions using Snowflakes cloud data platform and Python-based ETL processes. Your role will involve developing ETL/ELT pipelines, designing data models in Snowflake, writing SQL queries, integrating data sources, ensuring data security and governance, and collaborating with other team members to buil