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DATA
SCIENTIST

Join our team as a Data Scientist! We are looking for a talented individual who is passionate about data analysis and derive meaningful insights to drive our business forward. If you have a strong analytical mindset and experience with modeling, we would love hear from you. Apply today and help us make data-driven decisions

LOCATION

Kigali,RW

EMPLOYMENT TYPE

Permanent

What You’ll Do

  • Data mining or extracting usable data from valuable data sources

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  • Using machine learning tools to select features, create and optimize classifiers

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  • Carrying out the preprocessing of structured and unstructured data

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  • Enhancing data collection procedures to include all relevant information for developing analytic systems

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  • Processing, cleansing, and validating the integrity of data to be used for analysis

  • Analyzing large amounts of information to find patterns and solutions

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  • Developing prediction systems and machine learning algorithms

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  • Presenting results in a clear manner& Propose solutions and strategies to tackle business challenges

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  • Collaborate with Business and IT teams

Who You are / Skills Required

  • Programming Skills – knowledge of statistical programming languages like R, Python, and database query languages like SQL, Hive, Pig is desirable. Familiarity with Scala, Java, or C++ is an added advantage.

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  • Statistics – Good applied statistical skills, including knowledge of statistical tests, distributions, regression, maximum likelihood estimators, etc. Proficiency in statistics is essential for data-driven companies. 

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  • Machine Learning – good knowledge of machine learning methods like k-Nearest Neighbors, Naive Bayes, SVM, Decision Forests.

  • Strong Software Engineering Background

  • Hands-on experience with data science tools

  • Problem-solving aptitude. Analytical mind and great business sense

  • Degree in Computer Science, Engineering or relevant field is preferred

  • Proven Experience as Data Analyst or Data Scientist

  • Strong Math Skills (Multivariable Calculus and Linear Algebra) - understanding the fundamentals of Multivariable Calculus and Linear Algebra is important as they form the basis of a lot of predictive performance or algorithm optimization techniques. 

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  • Data Wrangling – proficiency in handling imperfections in data is an important aspect of a data scientist job description. 

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  • Experience with Data Visualization Tools like matplotlib, ggplot, d3.js., Tableau that help to visually encode data

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  • Excellent Communication Skills – it is incredibly important to describe findings to a technical and non-technical audience.

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