Data Science Intern

1 week ago

Riyadh, Saudi Arabia Nana Direct Full time

**About Nana**:
Nana is an internet marketplace connecting customers with their favorite grocery stores, pharmacies and specialty stores. Our mission is to deliver the highest quality of online grocery customer experience with a sense of affection, care, and pride. Nana was established in 2016 and is headquartered in Riyadh, Ar Riyad, Saudi Arabia.

**Highlights**:
Nana funding: 500M SAR
Current funding stage: Series C
Nana backed by: STV, MEVP, Wamda Capital, Saudi Venture Capital, Impact46, Watar Partners

**Responsibilities and Duties**:

- Extract, transform, and load data from multiple sources to a data warehouse or other unified data repository.
- Provide High-performance infrastructure for cloud computing, data analytics & machine learning. Secure, reliable and high performance cloud services using GCP - Google Cloud Platform.
- Provide quality assurance of imported data, working with quality assurance analysts if necessary.
- Generate credible hypotheses for specific actions that will lead to an acceleration of growth
- Analyze sales figures, market research, logistics, or transport data.
- Use analytical, statistical, and programming abilities to gather a massive amount of data to create solutions for the business.
- Create charts and visual presentations showing trends in the collected data.
- Analyze data from various channels and platforms to extract business insights.
- Create and use advanced machine learning algorithms and statistics: regression, simulation, scenario analysis, modeling, clustering, decision trees, neural networks, etc.
- Identify relevant data sources for business needs & collect structured and unstructured data.
- Utiliz analytics and data to understand customer behavior, identify opportunities and address major challenges.
- Manage leads and data using existing tools, and ensure timely follow-up on inbound inquiries.

**Requirements**:

- Bachelor’s degree in Statistics, Mathematics, Computer Science, or another quantitative field.
- Ability to extract insights using advanced SQL to work efficiently at scale.
- Ability to use analytics tools including Google Analytics and Excel.
- Self-motivated, highly adaptable, and comfortable in an imperfect dynamic startup environment.
- Basic written and verbal communication skills in English.

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