What are the responsibilities and job description for the Data Scientist position at Macpower Digital Assets Edge?
- Technical Expertise
- Demonstrated competency in developing production-ready code using Python and AWS infrastructure, including S3 policies.
- Proficiency in data-access technologies such as SQL, Spark, Databricks, and MongoDB.
- Experience managing various types of data, including images, rasters, parquet files, time-series data, geo-tagged data, text, and other unstructured data.
- Familiarity with spatial visualization tools like Folium and Plotly, as well as labeling systems SuperAnnotate, Labelbox, and Voxel51.
- Developing alerts through email automation, dashboards in Tableau, or other means to monitor system performance and issues.
- Excellent communication skills, including leading meetings, documenting work for reproduction, writing persuasively, communicating proof-of-concepts, and taking effective notes.
- Capacity to communicate complex analytical insights to non-technical audiences.
- Experience developing plugins with JavaScript and knowledge of model validation, measuring model bias, and measuring model drift.
About Macpower Digital Assets Edge
We're looking for a skilled professional to join our team at Macpower Digital Assets Edge. If you have expertise in developing production-ready code using Python and AWS infrastructure, this could be the ideal opportunity for you.
Our ideal candidate will have proficiency in data-access technologies, experience managing various types of data, and familiarity with spatial visualization tools and labeling systems.
In addition to technical skills, we're looking for someone with excellent communication skills, including the ability to lead meetings, document work, and communicate complex analytical insights to non-technical audiences.
