Senior Data Scientist at Fadac Resources

Job Overview

Location
Lagos, Lagos
Job Type
Full Time
Date Posted
3 years ago

Additional Details

Job ID
11015
Job Views
100

Job Description



My client is a leading African multi-channel media, entertainment, and data company, headquartered in Nairobi, Kenya. As a technology marketplace, they creates jobs for "nano-creators/influencers" and celebrity personalities alike by connecting them to brands, creative agencies, research companies, and NGOs. Help brands maximize ROI on their marketing spend through a vast creators/influencers network, powered by a proprietary software platform.They are in need of a SENIOR DATA SCIENTIST.


JOB RESPONSIBILITIES.



  • You will lead the analysis and insights generation process across the organization’s most important products and initiatives.

  • Work on translating large datasets into actionable insights.

  • You’ll perform data analysis, modelling, and hypothesis testing, A/B testing to steer the organization’s decision-making.

  • Use data and insights to drive action from stakeholders.

  • You’ll discover insights from the data and propose solutions to fix them or devise experiments to understand the issues better.

  • You’ll contribute to the work of the data & product teams to better understand the user and product experiences, and use data to improve them.

  • You’ll work with the business intelligence team to determine useful metrics that need to be tracked, and help to create stunning visualizations to disseminate the trends in the data.


JOB REQUIREMENT.



  • 4+ years of experience in a similar data science role

  • Minimum bachelor's degree in quantitative fields such as statistics, mathematics, computer science, physics, and engineering (Master’s highly desirable).

  • Demonstrated ability to perform detailed data analysis and guide strategy with findings.

  • Advanced proficiency in at least one of the following: Python, R, SPSS

  • Advanced proficiency in Excel is a given.

  • Experience with data wrangling and cleaning of large datasets

  • Advanced knowledge of statistical and machine learning techniques (regression, decision trees, clustering, neural networks, etc.)

  • Some hands-on experience with writing SQL.

  • Strong people skills, team orientation, and a professional attitude

  • Excellent problem-solving and decision-making skills.

  • A high level of commercial awareness is highly desirable.


Personal Attributes



  • Agile and resilient with a good work ethic

  • Possess the ability to work with a diverse group of individuals in a multicultural team in a professional and service-oriented manner

  • Knowledge management and learning; Actively working towards continuing personal learning and development in one or more practice areas while applying newly acquired skills in day to day work.


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