Data Scientist
We are looking forData Scientist Professionals with 3 – 5+ years solid development experience in Scala, Python (pySpark), Java and has a solid knowledge base of the SDLC.
About The Employer:
Requirements
Lead a team that is collegiate and Agile in ethos and is recognized for its commitment to delivery and world-class performance.
- Mentor and guide team members both technically (reviewing of analytical and data science
outputs) and with regard to softer skills and personal development - Contribute to the development of the data science community through a commitment to
excellence. - Be the link between business colleagues and technical colleagues within the CTO Data
Solutions team. This requires gathering requirements from business and refining this into
measurable and actionable deliverables for the team. - Effectively communicate these deliverables to the respective team members and providing the
necessary guidance to ensure delivery to the high standards expected from business. - Collaborate and work closely with cross-functional business partners to identify gaps and
structure problems/solutions - Support key initiatives and deliver results through an Agile workflow
- Will create meaningful presentations and analyses that tell a “story” focused on insights not
just data - Contribute to data and technology initiatives as they relate to data science.
- Familiarity with the Big Data stack (Hadoop, Kafka, Spark, etc.) as well as experience with using these tools to develop and deploy data products and applications.
- Support data science colleagues in working with technology infrastructure colleagues to ensure a productive analytical and development environment.
- Beneficial, experience with building ML products in the Cloud (preferably using Amazon Web Services).
- Be an evangelist for Big Data and pattern recognition technologies in the work place
- Support & share knowledge and best practice with the analytical, technical and business community in the work place
- Contribute to the team vision of how to use Big Data to build long-term value for the bank.
- Invest time and effort in own development – through performance development process, training, networking and seeking feedback
- Pursue own development to increase personal effectiveness, acknowledging strengths and areas for development
Other Skills:
- Agile Methodology
- Good professional communication skills
- Self-Motivated and have the ability to adapt quickly
- Committed and dedicated to achieving results
- Innovative and adhere to best coding practices