Senior Data Scientist/Engineer - Python/NumPy/Pandas (6-11 yrs)

Responsibilities :

- Develop and implement data analysis and machine learning models using Python, NumPy, and Pandas.

- Extract, transform, and load (ETL) data from various sources using SQL.

- Perform data cleaning, preprocessing, and feature engineering.

- Develop and maintain data pipelines for data ingestion and processing.

- Analyze large datasets to identify trends, patterns, and insights.

- Create data visualizations and reports to communicate findings to stakeholders.

- Collaborate with cross-functional teams to define data requirements and develop solutions.

- Optimize data queries and improve data processing performance.

- Implement and maintain data quality checks and validation processes.

- Stay up-to-date with the latest advancements in data science and engineering.

Required Skills :

- Python (NumPy, Pandas)

- SQL (Database Management, Query Optimization)

- Data Analysis

- Data Preprocessing

- ETL Processes

- Data Visualization

- Data Pipelines

Qualifications :

- 6-11 years of experience in data science or data engineering.

- Proven expertise in Python, NumPy, Pandas, and SQL.

- Strong understanding of data analysis and machine learning concepts.

- Excellent problem-solving and analytical skills.

- Ability to work independently and as part of a team.

- Strong communication and collaboration skills.

Bonus Skills :

- Experience with machine learning libraries (e.g, scikit-learn, TensorFlow, PyTorch).

- Knowledge of cloud platforms (e.g, AWS, Azure, GCP).

- Experience with data visualization tools (e.g, Tableau, Power BI).

- Familiarity with big data technologies (e.g, Spark, Hadoop)