A Data Scientist specializing in Python and Structured Data Machine Learning focuses on analyzing structured datasets and developing predictive models using Python-based ML frameworks.
A Data Scientist in this domain is responsible for 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.
Required Skills :
- Python programming for ML and data manipulation.
- SQL proficiency for structured data querying.
- Experience with ML frameworks (Scikit-learn, TensorFlow, PyTorch).
- Knowledge of ETL processes for structured data.
- Understanding of data warehousing concepts.
- Familiarity with cloud platforms (AWS, Azure, GCP). Preferred Qualifications
- Experience with data visualization tools (Tableau, Power BI).
- Knowledge of data governance frameworks (GDPR, HIPAA).
- Familiarity with automated ML workflows. cloud-based data solutions, leveraging Snowflake for data warehousing and Python for scripting, automation, and data processing.
- A Snowflake and Python Developer is responsible for designing, developing, and optimizing data solutions using Snowflake's cloud data platform and Python-based ETL processes.
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. Required Skills
- Strong SQL proficiency for Snowflake.
- Python programming for data manipulation and automation.
- Experience with ETL tools (e.g., Apache NiFi, Talend, Fivetran).
- Knowledge of cloud platforms (AWS, Azure, GCP).
- Understanding of data warehousing concepts.
- Familiarity with Snowflake features like Snowpipe, Streams, and Tasks. Preferred Qualifications
- Experience with data visualization tools (Tableau, Power BI).
- Knowledge of data governance frameworks (GDPR, HIPAA).
- Familiarity with machine learning workflows in Snowflake.
