Senior Data Scientist

6 months ago


مصر, Egypt Raisa Energy Full time

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.

**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.

**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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