Data Scientist at Zola Electric

Position

• The Data Scientist will play a critical role in designing and implementing enhancements to our data analytics strategy. The position will involve working with our Hardware and Software teams and external partners to analyze the functional needs, translate them into technical requirements and implement them.
• Gain understanding from domain experts on functional need from stakeholders and business problems or objectives
• Translate functional needs in technical descriptions how to collect, extract and analyze data,
• Drive improvements in efficiency, automation, cleaning, transformations, and error detection
• Introduce (machine learning) models to diagnose and forecasting tools based on designs
• Implement new models in engineering stack all the way into production
• Propose visualizations and embedding in the business process or products
• Being able to explain and communicate models to non-native data engineers
• Continuously explore data to improve models

Requirements

• BS in Computer Science, Software Engineering, Math, Econometrics or equivalent
• 3-5 years of experience in business, data analytics or data scientist role
• Expert-level SQL relational data experience
• At least 2 years of Python or similar experience
• Able to translation of business needs/requirements into technical requirements
• Able to build out data resources needed
• Excellent communication skills
• Planning and Organizing Skills
• Time Management Skills
• AWS basics

Experience with the following is a bonus:

• Worked with distributed teams (Collaborative)
• Looker or other BI/dashboarding experience
• Deployment on OSS stack
• Different software building best practices, like Agile or Kanban working

Other information:

• Preferred locations are Lagos, Nigeria (virtual) or Arusha, Tanzania, although this role can be fulfilled on-site and remotely.
• We have offices in East Africa, West Africa, Europe and the western United States.
• You will need to be available for working meetings and collaboration with colleagues in these locations / time zones.