
Data Scientist
3 weeks ago
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)
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