Data Scientist Intern

Key responsibilities:

Data Pipeline Development:

Design, develop, and maintain robust data pipelines for data extraction, transformation, and loading (ETL).

Implement data storage solutions using databases and cloud-based platforms.

Optimize data processing for performance and scalability.

Machine Learning Model Deployment:

Develop and deploy machine learning models into production environments.

Create APIs and web services to expose model predictions.

Monitor model performance and implement retraining strategies.

Software Development:

Write clean, efficient, and well-documented code in languages such as Python.

Develop data-driven applications and tools to support business objectives.

Contribute to the development of our data science platform.

Data Analysis and Visualization:

Conduct exploratory data analysis to identify trends and patterns.

Create interactive visualizations to communicate insights to stakeholders.

Develop reports and dashboards to track key performance indicators.

Collaboration and Communication:

Work closely with data scientists, engineers, and product managers.

Communicate technical concepts clearly to both technical and non-technical audiences.

Participate in code reviews and contribute to team knowledge sharing.

Knowledge, experience, and qualifications required:

Degree in Computer Science or technical-related field from an accredited institution.

Familiarity with Agile development methodologies.

Proficiency in Python and relevant libraries (Pandas, NumPy, Scikit-learn, TensorFlow/PyTorch).

Experience with cloud computing platforms (AWS, Azure, GCP).

Experience with RDMS preferably Oracle, MySQL, Non-relational MongoDB.

Industries:Health, Wellness & Fitness

Function: Data Science