Senior Data Scientist

We are looking for thoughtful and well-rounded Senior Data Scientist to join our fast-growing company and help in building Halan’s super application. You will use different data sources to solve interesting business problems. Strong technology, analytical and communication skills are must-have traits!

What you'll do!



  • Work with stakeholders throughout the organisation to leverage data and analytics in driving business growth and answering business question.

  • Liaise with data engineering , Product , and business stakeholders to asses the requirements and quality of current and new data sources.

  • Develop extensive descriptive and statistical analysis of various aspects of the business to help better understand users behaviours across different business verticals.

  • Develop predictive models that help drive overall business growth and optimise customer experience and asses their business impact.

  • Perform Experimentation ( A/B testing ) on different customer touch-points and asses the business viability of introducing different changes.

  • Develop processes and tools to monitor and analyse model performance and data accuracy.


Who you are!!



  • Bachelor's degree or equivalent in Computer Science , Computer Engineering or relevant fields.

  • 4+ years of relevant work experience working in a data role.

  • Strong problem solving skills and a go getter attitude that can grasp new concepts easily.

  • Experience using statistical computer languages (Python,Spark, SQL) to manipulate data and draw insights from large data sets.

  • Knowledge of a variety of machine learning techniques (clustering, decision tree learning, artificial neural networks, etc.) and their real-world advantages/drawbacks.

  • Strong knowledge of advanced statistical techniques and concepts (regression, properties of distributions, statistical tests and proper usage, etc.) and their applications.

  • Excellent written and verbal communication skills for coordinating across teams.

  • A drive to learn and master new technologies and techniques.

  • Experience in using at least one of the database engines (MySQL, Microsoft SQL Server, PostgreSQL, PrestoDB, Mongo NoSQL, etc..).

  • Experience in data analytics stack libraries such as pandas,numpy, scipy, scikit-learn, and matplotlib in Python, or caret,dplyr, and ggplot in R.
تاريخ النشر: ٨ سبتمبر ٢٠٢٤
الناشر: LinkedIn
تاريخ النشر: ٨ سبتمبر ٢٠٢٤
الناشر: LinkedIn