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Data Scientist

1 month ago

مصر, Egypt Raisa Energy Full time

We are looking for a **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.

**Job responsibilities***:

- Researching and prototyping algorithms and designing machine learning solutions that can provide value to our business.
- Training models and tuning their hyper-parameters.
- Performing statistical analysis and fine-tuning using test results.
- Defining the preprocessing or feature engineering for datasets.
- Getting useful insights from data.
- Deploying models to production.
- Work in an Agile environment that focuses on collaboration and teamwork.
- Driving and maintaining a culture of quality, innovation, and experimentation.
- Designing and building useful tools and frameworks that can serve different teams.
- Communicating with different teams to understand their data science requirements.

**Must have***:

- BS in Computer Science, Computer Engineering, or relevant field
- 0-2 years of experience for DS1 level
- 2-4 years of experience for DS2 level
- 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 at 2 of the following: SKLearn, Keras, PyTorch, and TensorFlow
- Data visualization experience using Matplotlib, Seaborn and Plotly
- Focus on the details and have passion for data quality and code efficiency

**Nice to have***:

- Experience with Power BI, Tableau, Spotfire, or Streamlit
- Experience with large-scale data processing/analysis
- Experience with parallel and distributed computing
- Contributions to open-source projects
- Experience with MLops