We develop Real-Time Water Monitoring Solutions to help Communities, Businesses and Utilities monitor and manage their Available Water.
Electronics Intern
- Job TypeFull Time
- QualificationBA/BSc/HND
- Location Nairobi
- Job Field Engineering / Technical Graduate Jobs / Internships
Job Details
The candidate will get an opportunity to be an integral part of our Engineering Team and work with an experienced engineering team to design, develop and troubleshoot new hardware products. The ideal candidate should be Open-minded, willing to learn and have a passion in developing “Internet of Things” (IoT) products.
Responsibilities
- Surface Mount (SMT) printed circuit board assembly.
- Perform quality verification test in accordance with assembly instructions.
- Rework and/or repair assembled electronic boards.
- Utilize various hand held tools such tweezers, soldering stand, or wire cutters
- Maintain a clean and safe work area
Qualifications
- Certificate or Diploma in Electronics and basic Soldering Experience.
- Basic Knowledge of Electronics Assembly.
Senior Data Scientist
- Job TypeFull Time
- QualificationBA/BSc/HND
- Experience5 years
- Location Nairobi
- Job Field ICT / Computer
Job description
- Build and maintain a large scale data analytics infrastructure (systems, processes, people) to be used across Asante Finance Group(Kenya and emerging markets)
- Consistently conduct research, design, implement, and validate cutting-edge data science algorithms in order to analyze diverse data sources that will assist to drive the desired business outcomes in diverse fronts
- Translate business requirements into quick prototypes and enable the development of big data capabilities, frameworks, and data governance processes within Asante Finance
- Assist in developing and implementing a program of continuous improvement of Business Intelligence processes through a cycle of analysis of existing systems, processes, and tools, identifying areas for improvement, implementing high-impact changes and getting feedback from Asante Finance stakeholders.
- Develop and maintain documentation/manuals on data lineage, data integration and system configuration for Data Management systems
- Provide input on the design of data extracts and static reports for external parties and statutory reports
- Ensure that reports for external parties are checked, validated and signed off before circulation (example balancing to the GL, source to source checking)
- Provide consultation and advice to business teams during the development of Data Models(for reporting, analytical or predictive purposes)
- Secure Asante Finance Data Landscape (BI systems, reporting systems, data warehouse etc) by putting adequate controls and restrict access to data in the operational data stores, staging environment and data marts by users in accordance to the requirements of Asante Finance
- Formulate measurable and data driven Key Performance Indicators that will drive Asante Finance performance measurement, reporting, and analytics across all business functions (weekly, monthly and yearly)
- Engage in research activities that assist Asante Finance to get insights and indicators from external and market Data
- Provide a weekly and a monthly Insights, Competition, Emerging trends and Performance Dashboard, whilst taking cognizance of observed and collected Data Metrics (to be presented to the CEO and the entire Asante Finance Management team)
Academic Qualification
- Bachelor of Science, Statistics, Applied Mathematics or Information Systems from a recognized University
Work Experience
- 5 years or more experience in a similar role
- Background in a quantitative discipline with focus on at least any one of the following fields: data analytics, machine learning, big data analytics, or computer science.
- Extensive experience with Bash, GIT and Python IDEs.
- Understanding of and experience with using Big Data techniques.
- Experience of using a data warehouse and proficiency in SQL.
- Working knowledge of information technology environments, administration, policies and processes.
- Experience in R and/or Python.
- Machine learning and predictive modelling experience.
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