Develop machine learning applications (40%)
Design and implement high quality software using the latest and greatest cloud and machine learning technologies
Independently manage and complete all the work needed to deliver small or medium sized applications and analyses on time and at a very high level of quality
Help identify and build major components of complex machine learning models
Judiciously evaluate the effectiveness and fairness of models and articulate considerations and concerns around implementing models in the context of the business application
Build functions, APIs, and data stores to make predictions and analyses accessible to other systems
Data engineering, exploration, and analysis (40%)
Design and maintain scalable data pipelines that transform operational data into reliable, production-ready datasets
Create insights from existing data and drive the collection of new data
Communicate methodology and results of advanced analyses using accessible language and intuitive data visualizations
Create reproducible, documented analyses and models that lend themselves to automation
Team Operations & Success (20%)
Help the team break down the work into manageable tasks and support our Agile maturity
Substantially improve the team’s productivity and quality by enhancing tools, processes, and code structure
Advise other teams on Machine Learning projects and assist with establishing Machine Learning governance
Assist in the identification and resolution of production issues

Ideally a Master’s in a quantitative discipline or computer science, OR a Bachelor’s and 3-4 years related experience, OR 5+ years related experience with a great story to tell
Programming expertise in Python and familiarity with pandas
Experience in data and statistical analysis
Proven experience in developing Machine Learning (ML) and Deep Learning (DL) solutions to solve real-world problems.
Experience with SQL and NoSQL databases.
A passion for solving difficult problems creatively.
Excellent communication and listening skills, and are able to help others understand both problems and solutions.
The ability to tell a story with your data.
Worked within a close knit team and enjoy helping your colleagues succeed
Knowledge in CI/CD, DevOps and Agile
Knowledge in developing applications on a Serverless or Microservices cloud platform (AWS/Azure/GCP, etc.)

Data Scientist

Key skills