Software Data Scientist - Python (7-8 yrs)

Responsibilities :

- Design, develop, and deploy production-grade machine learning models for various tasks, with a strong focus on recommender systems.

- Conduct exploratory data analysis to understand data characteristics, identify patterns, and extract meaningful insights.

- Create and engineer relevant features to enhance model performance and address data challenges.

- Train and evaluate machine learning models using appropriate techniques and metrics.

- Leverage MLOps frameworks to track models, automate deployments, and ensure smooth model serving in production.

- Continuously monitor and analyze model performance to identify and address data drift and potential biases.

- Work closely with data scientists, software engineers, and product teams to understand business needs and translate them into actionable insights.

- Effectively communicate complex technical concepts to a wide range of audiences, including non-technical stakeholders.

Requirements :

- Strong proficiency in Python programming

- Solid understanding of machine learning algorithms and techniques

- Experience with distributed computing frameworks like Snowpark or PySpark

- Familiarity with MLOps tools and practices

- Knowledge of software engineering best practices (e.g., version control, CI/CD)

- Demonstrated experience in developing and deploying machine learning models in production environments

- Experience with recommender systems is a significant plus

- Familiarity with working with large and imbalanced datasets

- Strong problem-solving and analytical skills

- Ability to work collaboratively in cross-functional teams

- Excellent communication and interpersonal skills

- Passion for machine learning and a continuous drive to learn