Data Scientist - SQL/Python

Key Responsibilities :

- Develop, implement, and optimize machine learning models to solve complex business problems.

- Write efficient queries and scripts using SQL, Python, PySpark, and Spark ML.

- Leverage cloud platforms such as AWS (preferred), Azure, or GCP for deploying and scaling ML models.

- Manage and maintain source code repositories using GitHub or similar version control tools.

- Utilize AutoML platforms like DataRobot or H2O AI to accelerate model development and deployment.

- Collaborate with cross-functional teams to build and execute AI roadmaps aligned with TE&O architecture and delivery timelines.

- Continuously identify, promote, and implement advanced analytics techniques and new data sources to improve business outcomes.

Mandatory Skills :

- Strong experience in building and deploying ML models.

- Proficient in SQL, Python, PySpark, and Spark ML language.

- Experience with cloud platforms, preferably AWS.

- Familiarity with version control systems like GitHub.

- Hands-on experience with AutoML tools such as DataRobot or H2O AI.

Preferred Qualifications :

- Bachelors or Masters degree in Computer Science, Data Science, Statistics, Mathematics, or related fields.

- Strong analytical, problem-solving, and communication skills.