💡 Opportunity Summary

  • In-depth understanding of product lifecycle management, with a focus on analytical support and cross-functional collaboration at each stage.
  • A Bachelor’s degree in Computer Science, Statistics, Mathematics, or a related field.
  • Experience in data visualization and presenting data in graph or pictorial format.


Responsibilities

  • Collect, clean, and manage data from various sources while maintaining databases and ensuring data integrity.
  • Apply statistical techniques to analyze data sets and uncover trends, patterns, and actionable insights.
  • Build, test, and refine machine learning models to achieve high accuracy and reliability.
  • Create impactful data visualizations and communicate analytical results clearly to stakeholders.
  • Work across departments to align data insights with business objectives and support strategic decision-making.
  • Stay current with industry trends and emerging technologies while actively engaging in professional development and training.
  • In-depth understanding of product lifecycle management, with a focus on analytical support and cross-functional collaboration at each stage.
  • Using a range of programming languages to transform big data into data sets.

Requirements

  • A Bachelor’s degree in Computer Science, Statistics, Mathematics, or a related field.
  • Experience in data visualization and presenting data in graph or pictorial format.
  • Proficiency in designing algorithms and using statistical and problem structuring methods.
  • Ability to clean and validate data to ensure uniformity and accuracy.
  • Proficiency in various programming languages such as Java, C, Python, R along with strong coding skills.
  • Excellent problem-solving abilities.
  • Strong communication skills to convey findings to non-technical stakeholders.
  • Team collaboration and project management skills.
  • Relevant work experience in data analysis or data science roles.
  • Portfolio of projects or case studies demonstrating data science capabilities.

Method of Application


Interested and qualified candidates should send their CV and link to their portfolio to: jobscandidate8@gmail.com using the Job Title as the subject of the mail.


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