Senior Data Scientist (Western Cape) at Flash Group

Description
RESPONSIBILITIES:

• Data science project implementation:
• Drive implementation and deployment of Data science projects within the scope and timeline, both as supervisor and contributor.
• Work closely with team members to ensure data products are built with a high level of quality, scalability, reliability, and security, providing technical and tactical support, and removing roadblocks.
• Cross-functional collaboration:
• Communicate effectively with people of varying levels of data literacy and technical knowledge, when providing data-driven insights.
• Facilitate cross-functional projects between Data Scientists, GIS Analysts, SRE, and DW teams to build innovative data products.
• Project scoping: 
• Contribute to managing the funnel of incoming and work-in-progress Data science projects.
• Apply critical thinking to the feasibility of projects with a focus on delivering business value
• MLops management:
• Act as lead contributor in the design, development, and maintenance of MLOps infrastructure, in a way that best supports the implementation of the team’s projects.
• Create and manage clearly defined processes for the implementation, deployment, and BAU phases of the project process, to be followed by all team members when production using locally developed code into the MLOps infrastructure.

Requirements
MINIMUM REQUIREMENTS:

• Education: bachelor’s or master’s degree in data science, Statistics, Computer Science, Mathematics, or a related field.
• Experience: 5+ years of experience in data science, with a strong focus on applied machine learning and statistical analysis. 
• ML ops deployment experience is highly advantageous

REQUIRED KNOWLEDGE / TECHNICAL SKILLS:

• Advanced in Python and SQL
• Advanced understanding of software development practices, e.g.
• Agile software development
• Code reviews
• Unit testing
• Version control, e.g. Git
• Hands-on experience with ML tools and frameworks e.g.
• Pandas
• Scikit learn
• TensorFlow
• Pytorch
• Flow
• Statistical techniques and applications
• Experience within a Geospatial/location intelligence environment
• Experience within a big data environment with container technologies, e.g., Docker
• Track record: Proven ability to manage complex projects from ideation through to completion

COMPETENCIES / ATTRIBUTES:

• Self-motivated and assertive
• Strong leadership qualities
• Strong analytical ability
• Strong verbal and written communication/ presentation skills
• Team player and ability to operate independently
• Good interpersonal skills
• Trustworthy
• Ability to prioritize
• Ability to work in a pressured environment
• Deadline driven