Customer support representative

• Work as part of a small team to build React Native iOS / Android applications for FullStack's clients.
• Architect, build and maintain excellent React Native applications with clean code.
• Implement pixel perfect UI's that match designs.
• Implement clean, modern, smooth animations and transitions that provide an excellent user experience.
• Integrate third-party API's.
• Write unit and integration tests.
• Release applications to the Apple and Google Play stores.
• Work with native modules when required.
• Work as part of a small team, which will include other React Native developers, a project manager, QA professional, and a designer.
• Complete two-week sprints, and participate in sprint retrospectives and daily standups.
• Assist with building estimates.
• Interface with clients via Slack, Zoom, and email.
• Track your time throughout the day using Toggl.
• Work with modern tools including Jira, Slack, GitHub, Google Docs, etc.
• Be part of a community of React Native developers who share knowledge and help each other as problems arise.
• Follow FullStack's detailed development process

What you would be expected to do:

• Gather, prioritize and refine requirements while keeping team members well informed
• Create Use Cases, Flow Charts, Mock Screens, PRDs for business requirements, user requirements, functional & non-functional requirements and system requirements
• Rolling out of new products/apps/automations and resolving stakeholder queries/issues
• Automate business processes using tools like Zapier/Google Scripts, other automation tools
• Collaborate with cross-functional groups and assist in the entire product lifecycle from design to development to launch
• Responsible for testing of applications/solutions/web panels at various stages of the lifecycle
• Working with the development team/or independently on integrations (using 3rd party tools to create mobile applications)
• Travel as per company requirement to places including but not limited to Kenya, Uganda, Nigeria, Myanmar and Tanzania

You might be a strong candidate if you:

• The ability to structure and analyze ambiguous problems
• The ability to communicate ideas clearly through workflows, feature descriptions etc.
• Proactive and willingness to get hands dirty
• Attention to detail

What we offer (in addition to compensation and statutory benefits):

• An opportunity to grow as a professional in a dynamic, fast growing, high impact industry; 
• The chance to work in an open minded, collaborative culture surrounded by enthusiastic Greenlighters who are driven by the challenge of continuously innovating and growing a smart, sustainable business with profound impact on the world 
• A truly multicultural experience: you will have the chance to work with and learn from people from different geographies, nationalities, and backgrounds 
• Structured, tailored learning and development programs that help you become a better leader, manager, and professional through the Greenlight Academy

We are looking for a Data Scientist to analyze large amounts of raw information to find patterns that will help improve our company.
We will rely on you to build data products to extract valuable business insights.
In this role, you should be highly analytical with a knack for analysis, math and statistics.
Critical thinking and problem-solving skills are essential for interpreting data.
We also want to see a passion for machine-learning and research.
Your goal will be to help our company analyze trends to make better decisions.
Responsibilities:

• Identify valuable data sources and automate collection processes
• Undertake preprocessing of structured and unstructured data
• Analyze large amounts of information to discover trends and patterns
• Build predictive models and machine-learning algorithms
• Combine models through ensemble modeling
• Present information using data visualization techniques
• Propose solutions and strategies to business challenges
• Collaborate with engineering and product development teams

Requirements:

• Proven experience as a Data Scientist or Data Analyst
• Experience in data mining
• Understanding of machine-learning and operations research

• Knowledge of SQL,Python,R,ggplot2, matplotlib, seaborn, Shiny, Dash; familiarity with Scala, Java or C++ is an asset
• Experience using business intelligence tools (e.g. Tableau) and data frameworks
• Analytical mind and business acumen
• Strong math skills in statistics, algebra
• Problem-solving aptitude
• Excellent communication and presentation skills
• BSc/BE in Computer Science, Engineering or relevant field;
• graduate degree in Data Science or other quantitative field is preferred