Data Scientist

• Company Healthscope
• No. of Openings 10+
• Salary Not Disclosed
• Work Type on-site

Job Description :

As a Data Scientist Your Responsibilities Will Include

• Engage with the stakeholders to identify and define complex data-led problems - conducting analysis, discovering root causes, and providing actionable insights for decision makers.
• Conduct research, design, implement and validate cutting-edge algorithms and predictive statistical models to deliver insights from diverse data sources
• Design, implementation, and monitoring of automated ML workflows.
• Generate clear and concise documentation for repeatable processes developed within the team and be able to effectively hand over such processes to other analysts.

About You

• Advanced experience and knowledge in SQL and Python, well beyond simple data transformation
• Experience in design, implementation, and monitoring of ML workflows within Azure ML studio or similar cloud solution.
• Combination of deep technical skills and strong commercial acumen enough to interface with all levels and disciplines within our customer’s organization.
• 3+ years’ experience in a Data Scientist role with a track record of building and implementing Machine Learning or Deep Learning models in a commercial/academic setting.
• Tertiary background in quantitative discipline with strong grades. (Computer Science, Machine Learning, Statistics, Mathematics, etc.)

Familiarity With

• Azure technologies (ie Azure ML Studio, ML Pipeline design and implementation, Logic Apps)
• Data warehousing (E.g. Snowflake, Azure Cloud Platform)
• DevOps tasks like Git, CI/CD, Docker, Kubernetes
• API consumption and development
• Real-Time technologies (Kafka, Spark Streaming, Kinesis)As a Data Scientist Your Responsibilities Will Include
• Engage with the stakeholders to identify and define complex data-led problems - conducting analysis, discovering root causes, and providing actionable insights for decision makers.
• Conduct research, design, implement and validate cutting-edge algorithms and predictive statistical models to deliver insights from diverse data sources
• Design, implementation, and monitoring of automated ML workflows.
• Generate clear and concise documentation for repeatable processes developed within the team and be able to effectively hand over such processes to other analysts.
• About You
• Advanced experience and knowledge in SQL and Python, well beyond simple data transformation
• Experience in design, implementation, and monitoring of ML workflows within Azure ML studio or similar cloud solution.
• Combination of deep technical skills and strong commercial acumen enough to interface with all levels and disciplines within our customer’s organization.
• 3+ years’ experience in a Data Scientist role with a track record of building and implementing Machine Learning or Deep Learning models in a commercial/academic setting.
• Tertiary background in quantitative discipline with strong grades. (Computer Science, Machine Learning, Statistics, Mathematics, etc.)
• Familiarity With
• Azure technologies (ie Azure ML Studio, ML Pipeline design and implementation, Logic Apps)
• Data warehousing (E.g. Snowflake, Azure Cloud Platform)
• DevOps tasks like Git, CI/CD, Docker, Kubernetes
• API consumption and development
• Real-Time technologies (Kafka, Spark Streaming, Kinesis)As a Data Scientist Your Responsibilities Will Include
• Engage with the stakeholders to identify and define complex data-led problems - conducting analysis, discovering root causes, and providing actionable insights for decision makers.
• Conduct research, design, implement and validate cutting-edge algorithms and predictive statistical models to deliver insights from diverse data sources
• Design, implementation, and monitoring of automated ML workflows.
• Generate clear and concise documentation for repeatable processes developed within the team and be able to effectively hand over such processes to other analysts.
• About You
• Advanced experience and knowledge in SQL and Python, well beyond simple data transformation
• Experience in design, implementation, and monitoring of ML workflows within Azure ML studio or similar cloud solution.
• Combination of deep technical skills and strong commercial acumen enough to interface with all levels and disciplines within our customer’s organization.
• 3+ years’ experience in a Data Scientist role with a track record of building and implementing Machine Learning or Deep Learning models in a commercial/academic setting.
• Tertiary background in quantitative discipline with strong grades. (Computer Science, Machine Learning, Statistics, Mathematics, etc.)
• Familiarity With
• Azure technologies (ie Azure ML Studio, ML Pipeline design and implementation, Logic Apps)
• Data warehousing (E.g. Snowflake, Azure Cloud Platform)
• DevOps tasks like Git, CI/CD, Docker, Kubernetes
• API consumption and development
• Real-Time technologies (Kafka, Spark Streaming, Kinesis)