Kalybe.AI Career



Take a role in applying of data mining/data analysis methods, using a variety of data tools, building, and implementing models, using/creating algorithms, and creating/running simulation with company data.

  • Work with stakeholders throughout the organization to identify opportunities for leveraging company data to drive business solutions.
  • Processing, cleansing, and verifying the integrity of data used for analysis.
  • Building models to address business problems.
  • Presenting information using data visualization techniques.
  • Creating automated anomaly detection systems and constant tracking of its performance.
  • Selecting features, building, and optimizing classifiers using machine learning techniques.
  • Formulating and leading guided, multifaceted analytic studies against large volumes of data.
  • Interpreting and analysing data using exploratory mathematic and statistical techniques based on the scientific method.
  • Strong problem solving, analysis and research skills (Experienced in literature research).
  • Understanding of algorithm analysis, data structures, and software design.
  • Deep knowledge of statistics skills, such as distributions, statistical testing, regression, etc.
  • Knowledge on predictive models (such Naïve Bayes, Decision Trees, Tree. Ensembles, SVM, Neural Nets) and optimization techniques.
  • Ability to write robust code in Python, Scala or R.
  • Experience with Scientific Python Libraries such as Numpy, Pandas, Matplotlib, Seaborn etc. and common Python data science frameworks such as Scikit-Learn, Tensorflow, and PyTorch (or counterparts in other languages).
  • Experience using SQL to manipulate data and draw insights from large data sets
  • Good presentation skills with ability to explain sophisticated solution.

     Age: 22-35

     Experience: 2+ years experince as a Data Scientist

     Language: Fluent in English

     Computer Skills

  • SQL
  • NoSQL
  • Python
  • R
  • Java (and related scientific libraries)
  • Experience with building and using models on cloud platforms (like AWS, Google Cloud)


Apply for this position.

If you are interested in working with us in one of our target markets, or in a custom project, send a request through this form:
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