What are the responsibilities and job description for the Senior Data Scientist - Data Services position at Aylo Careers?
The Data Science team is responsible for improving business operations and user experiences. Billions of data points are recorded daily from our products. Projects include content recommendation and surfacing engines, computer vision tasks, bidding systems, and credit card fraud detection among others. We seek a Data Scientist to help enhance our current projects and work on fascinating new projects. The ideal candidate should be experienced and interested in owning data-driven projects from the first stages of research to the later stages of development and deployment.
What you'll be doing:
- Research: Discover solutions to unique data science challenges while satisfying business needs
- Develop and Implement full solutions
- Load and clean the data
- Prepare and train the model
- Deploy, monitor and maintain the solution
What you'll need to be successful:
Must Haves:
- PhD in a quantitative STEM field with an important data analysis component OR Msc. in a quantitative STEM field with 3 years of experience as a Data Scientist
- Strong programming skills in Python and experience with Machine Learning tools (numpy, scipy,scikit-learn, pandas, pytorch/ tensorflow, ...)
- Strong knowledge of data science algorithms and their limitations (execution speed, memory considerations, etc)
- Experience dealing with very large datasets
- Familiarity with database environments (including distributed big data solutions) and functional SQL knowledge
- Experience with UNIX/Linux environments
- Good team player and open to give and receive constructive feedback
- Ability to communicate clearly to non-experts
Nice to Haves:
- Understanding and/or familiarity with non-interpreted (compiled) programming languages
- Experience with cloud providers (AWS, GCP, Azure)
- Data science side projects or Kaggle competitions
As an equal opportunity employer, we celebrate diversity and are committed to creating an inclusive environment for all employees
In this role you may be exposed to adult content