We’re looking for a talented Data Scientist-Engineer who works closely with our high tech team for assemble large, complex data sets that meet functional/non-functional business requirements. He/She will create and implement data science models at scale in our data centric platform.
Key Responsibilities
- Partner with data scientists to understand, implement, refine and design machine learning at large scale
- Work with data scientists to create and refine features from the underlying data and build pipelines to train and deploy models
- Define and optimize data sources to support machine learning process
- Integrate data and algorithmic processes to create products based on data
- Run regular A/B tests, gather data, perform statistical analysis
- Develop processes and tools to monitor and analyze model performance and data accuracy
Skills
- Experience in a similar role as a Data Scientist/Data Engineer
- Degree (or equivalent) in quantitative area or Computer Science
- Ability to work with data query and data processing tools
- Practical experience with data science tools and frameworks (Machine learning techniques and principles)
- Ability to work with data structures, algorithms, performance complexity, and implications of computer architecture on software performance
- Practical experience deploying highly scalable software supporting millions or more users (Integrating applications and platforms with cloud technologies)
- Practical experience with Python, Java or Scala
- Desirable: Deep learning architectures
Salary: 30K-40K Interested? Get in touch. d.hernandez@hocelot.com