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Data Scientist at Techduce Africa

Techduce AfricaLagos, Nigeria Data and Artificial Intelligence
Full Time
Techduce Africa is a Software Development Leading Company in Africa. The organization focuses on web-based business tools and information technology, including an office tools suite, Internet of things management platform, and a suite of IT management software. The company provides IT services from subsidiaries like DuceCampaign, DuceHost, DuceBot, DuceCRM, DuceIOfice, DuceStore and DuceDocu

Description

  • Responsible for analyzing large sets of data to uncover insights and inform product development and business decisions.

Responsibilities

  • Collecting and cleaning data from a variety of sources, including structured and unstructured data
  • Developing and implementing statistical models, machine learning algorithms, and other data analysis techniques to extract insights from data
  • Communicating insights and findings to non-technical stakeholders in a clear and concise manner
  • Building dashboards, reports, and visualizations to effectively communicate data insights
  • Collaborating with cross-functional teams, such as product management and engineering, to inform product development and decision making
  • Designing and conducting experiments to test hypotheses and validate assumptions
  • Developing and maintaining data pipelines and databases to ensure data quality and reliability
  • Staying up-to-date with new data analysis tools and techniques, and incorporating them into work as appropriate
  • Participating in the development of data governance and security policies to ensure data privacy and compliance.

Qualifications

  • A bachelor’s or master’s degree in a quantitative field such as mathematics, statistics, computer science, or a related field
  • Strong proficiency in programming languages such as Python or R
  • Strong understanding of statistics and statistical modeling
  • Experience with machine learning algorithms and data analysis tools
  • Excellent problem-solving and analytical skills
  • Ability to effectively communicate data insights to non-technical stakeholders
  • Ability to work with large and complex datasets
  • Familiarity with database management systems and SQL
  • Ability to independently manage and prioritize multiple projects
  • Strong attention to detail and accuracy.

Method of Application

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