Jobs Opportunities : 02 Data Scientists

Jobs Opportunities : 02 Data Scientists



About Kola

Kola is a Fintech Startup which aims to facilitate financial inclusion and access to financial services for people and businesses in the CEMAC region using the power of technology. Ultimately, our mission is to accelerate economic development by building the number one financial service company for Central Africa and beyond.

Key experience and personal attributes
  • Quick adaptation
  • flexibility
  • communication
  • open-minded
  • sense of analysis & efficiency
  • rigor & dynamism
  • team spirit
  • learner
  • growth oriented
  • Intellectual integrity
  • Hardworking
Scope of the Role
As a Data Scientist, you will be responsible for modeling complex problems, discovering insights and identifying opportunities through the use of statistical, machine learning, algorithmic, data mining and visualization techniques. You will need to collaborate effectively with internal stakeholders and cross-functional teams to solve problems, create operational efficiencies, and deliver successfully against high organizational standards. The candidate should be able to apply a breadth of tools, data sources and analytical techniques to answer a wide range of high-impact business questions and present the insights in a concise and effective manner. Additionally, the candidate should be an effective communicator capable of independently driving issues to resolution and communicating insights to non-technical audiences. This is a high impact role with goals that directly impacts the bottom line of the business.

Keys Responsibilities
  • Build datawarehouse, make data available for the other members of the team
  • Set up assurance quality policy of the data
  • Use predictive analytics and machine learning techniques to solve complex problems and drive business decisions
  • Employ the appropriate algorithms to discover patterns of risks, abuse and help reduce bad debt
  • Design experiments, test hypotheses, and build actionable models to optimize operations
  • Solve analytical problems, and effectively communicate methodologies and results
  • Build predict models to forecast risks for product launches and operations and help predict workflow and capacity requirements operations
  • Draw inferences and conclusions, and create dashboards and visualizations of processed data, identify trends, anomalies
  • Work closely with internal stakeholders such as business teams, engineering teams, and partner teams and align them with respect to your focus area
Required qualifications
  • BAC +5 in Data Science, computer science, Mathematics , Statistics or equivalent
  • 1 year of experience is a plus
  • Reading, writing and listening English is required
  • Be passionate about programming
  • PYTHON or R programming language
  • Knowing C++ or Java would be a plus
  • BD SQL and NoSQL query languages
  • Knowledge of the main statistical learning methods of the Machine Learning type
  • Analytical mind and demonstrate rigor
  • Knowing AWS SageMaker would be highly appreciated
  • Knowing AWS Amplify Analytics would be highly appreciated
  • Knowing the tools of Google Cloud platform (Google Analytics, Google Data Studio, BigQuery, Google Tag Manager) would be a plus
Reasons to work with us
  • Decent salary with fast potential to increase
  • We provide a friendly working environment
  • Your opinions and ideas matter
  • Support for continuous learning, development and growth
  • Awesome bilingual working environment
  • Work on new and exciting technologies on par with international standards
  • Tapping in the growing digital economy in the CEMAC region
  • Strong support for female employees.
The Assets Of The Job
  • This is a full-time, salaried position
  • We will offer you the support you need to help you grow as an impactful worker and a human being
  • We provide a friendly working environment
  • Access to a broadband internet connection
Send your CV at careers@kolafin.com
Jobs Opportunities : 02 Data Scientists Jobs Opportunities : 02 Data Scientists Reviewed by Admin on mars 11, 2021 Rating: 5

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