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Senior Data Scientist

Hybrid
  • Cairo, Al Qāhirah, Egypt
Data Science

Job description

We are looking for a Senior Data Scientist to join our team in Cairo.

Summary

Raisa is an energy fintech company that uses proprietary technologies (in-house tech, machine learning microservices, securitization) to manage large investments in the United States. With over $2 billion of private funding, Raisa has built a diverse portfolio of oil and gas assets. We are passionate about innovation that leverages our team’s capabilities via proprietary technology and creates extraordinary results for all stakeholders.


We are looking for a Data Scientist (DS2/Senior) with a passion for both theory and technology to join our growing Data Science team in Cairo. This group designs, implements, and tests models that are subsequently productized and tightly integrated in our systems. You will be working closely with different teams including product management, subject matter experts, data engineering and software development teams. You will provide technical mentoring for other team members, and you will guide and review technical design decisions across projects as well as performing code review. 




Responsibilities

  • Research and prototype algorithms and design machine learning solutions that can provide value to our business.
  • Train models and tune their hyper-parameters.
  • Perform statistical analysis and fine-tuning using test results.
  • Define the preprocessing or feature engineering for datasets.
  • Get useful insights from data.
  • Deploy models to production.
  • Work in an Agile environment that focuses on collaboration and teamwork.
  • Drive and maintain a culture of quality, innovation, and experimentation.
  • Design and build useful tools and frameworks that can serve different teams. 
  • Communicate with different teams to understand their data science requirements.


Job requirements


Must have

  • BS or MS degree in Computer Science, Computer Engineering, or relevant field
  • 4+ years of experience in data science
  • Very good analytical and problem-solving abilities
  • Strong communication and teamwork skills
  • Experience with both classical and deep learning modeling techniques
  • Very good Python and SQL skills
  • Experience with large-scale data processing/analysis
  • Experience with at least 2 of the following: SKLearn, Keras, PyTorch, and TensorFlow
  • Data visualization experience using Matplotlib, Seaborn and Plotly
  • Outstanding mentorship abilities (for senior level)
  • Ability to take initiatives and lead the way
  • Focus on the details and passion for data quality and code efficiency


Nice to have

  • Experience with Power BI, Tableau, Spotfire, or Streamlit 
  • Experience with parallel and distributed computing
  • Contributions to open-source projects
  • Experience with MLops using Azure ML or AWS Sage Maker

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