Data Scientist - I

Technical lead - Data Scientist

Key skills: Python, Machine Learning, Data science, SQL, Pandas, ML Frameworks, Snowflake, ETL/ELT

Location: Chennai or Pune

Notice: Immediate to 30 days

Model: Hybrid (monthly 8 days in office)

Share your resumes to [email protected]

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.