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 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 Qualifications :
• Bachelors or Masters degree in Computer Science, Data Science, Statistics, Mathematics, or related fields.
• Strong analytical, problem-solving, and communication skills.

(ref : hirist.tech)