What you will do
- Design, develop, and deploy machine learning models using Databricks’ MLflow and Spark ML to solve business problems, such as forecasting, customer segmentation, and predictive analytics.
- Perform exploratory data analysis in Databricks notebooks using Python, R, or SQL to uncover patterns and insights from the data lakehouse.
- Collaborate with BI analysts to integrate AI-driven insights into dashboards and reports, ensuring seamless delivery to stakeholders.
- Work with data engineers to optimize data pipelines for machine learning workloads, leveraging Delta Lake for efficient data access.
- Translate complex AI outputs into actionable business recommendations, working closely with stakeholders to align on requirements.
Skills and Qualifications
- Bachelor’s or Master’s degree in Data Science, Computer Science, Statistics, or a related field.
- 3+ years of experience in data science, with a focus on AI and machine learning.
- Hands-on experience with Databricks, including notebooks, MLflow, and Spark ML.
- Proven track record of building and deploying machine learning models in a production environment.
- Proficiency in Python and/or R for data science workflows.
- Strong knowledge of machine learning frameworks (e.g., TensorFlow, PyTorch, scikit-learn).
- Experience with SQL for querying data in Databricks SQL Analytics.
- Familiarity with Delta Lake and Apache Spark for large-scale data processing.
- Understanding of cloud platforms (AWS, Azure, or GCP) hosting Databricks.
- Experience integrating AI models with BI tools like Tableau, Power BI, or Databricks’ visualization tools.
- Databricks Certified Data Scientist or Data Engineer certification is a plus.
- Excellent communication skills to translate technical insights for non-technical stakeholders.
- Strong problem-solving and analytical skills.
- Ability to work collaboratively in a cross-functional team.
Work Environment
- Occasional travel necessary to accommodate for global and regional meetings, workshops or training.
- Ability to occasionally join calls before / after traditional office hours
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What We Do
MAKING HEALTHCARE SAFER
The philosophy that guides Daniels - striving to make a safer environment for everyone involved in healthcare.
Daniels has operations in Australia, USA, Canada, New Zealand, UK, Europe and South Africa and is widely regarded as a leader of innovation in the medical waste space. Daniels' flagship product - the Sharpsmart collector, was launched in 1999 and is now used in thousands of healthcare facilities around the globe. It has been peer reviewed in numerous medical journals with findings that indisputably assert it as the safest sharps collector in the world.
Through education, innovation and service, we are committed to make the healthcare industry safer for the people who work in it and continually drive the development of ecologically sustainable solutions to reduce the environmental impact of medical waste.
