The Remote Data Scientist is an accomplished technical leader and a team player with substantial software engineering experience. The candidate must have hands-on experience with enterprise-level software development, integration, and implementation using advanced data science or big data technologies.
The candidate must demonstrate a willingness to learn new cutting-edge technologies and overcome technical challenges in a fast-paced environment. Provide design and implementation expertise to a cross-functional software development team. Play a key role in developing next generation data analytics platform leveraging the latest data science technologies.
Primary Responsibilities:
- Architect, design, code, and implement next-generation data analytics platform using software engineering best practices in the latest technologies
- Machine Learning
- Python, JavaScript
- Data integration with Spark, Big Data, Pentaho
- Data Lake and/or Data warehouse
- Provide software expertise in these areas: Spark based applications, Java application integration, web services, Cloud computing
- Develop solutions to enable metadata/rules engine driven data analytics application leveraging open source and/or cloud native components
- Passion for learning, growing, and mentor team members on the fine art of data engineering and advanced data science technologies
- Develop solutions in a highly collaborative and agile environment
Education and Experience:
- Bachelor's degree in computer science or a related field; additional experience would be considered in lieu of degree
- At least 12 years of technical experience
- 3 to 4 years of experience in statistical modelling
- 3+ years of combined experience with Python or Java
Technical Skills:
- Excellent knowledge of core java, collection framework, generics and multithreading
- Basic knowledge of Unix/Linux commands especially in processing data files
- Preferred experience with Spring Framework (Boot, Cloud, Security, Data)
Additional Requirements:
- U.S. citizen or legal right to work in the United States without sponsorship