Data Scientist

11 hours 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: 188M SAR
Current funding stage: Series C
Nana backed by: STV, FIM Partners, MEVP, Wamda Capital, Saudi Venture Capital, Impact46, Watar Partners

**Duties and Responsibilities**:

- Work with stakeholders throughout the organization to identify opportunities for leveraging company data to drive business solutions.
- Analyze data from company databases to drive optimization and improvement of product development, marketing techniques and business strategies.
- Assess the effectiveness and accuracy of new data sources and data gathering techniques.
- Use predictive modelling to increase and optimize customer experiences, revenue generation, ad targeting and other business outcomes.
- Develop company A/B testing framework and test model quality.
- Coordinate with different functional teams to implement models and monitor outcomes.
- Develop processes and tools to monitor and analyze model performance and data accuracy.
- Analyze large amounts of information to discover trends and patterns.
- Build predictive models and machine-learning algorithms.
- Propose solutions and strategies to business challenges.
- Collaborate with data engineering and product development teams.
- work closely with business to identify issues and use data to propose solutions for effective decision making
- build algorithms and design experiments to merge, manage, interrogate and extract data to supply tailored reports to colleagues, customers or the wider organisation
- use machine learning tools and statistical techniques to produce solutions to problems

**Requirements**:

- BSc/BA in Computer Science, Engineering or relevant field; graduate degree in Data Science or other quantitative field is preferred.
- Proven experience as a Data Scientist or Data Analyst
- Experience using R and Python to manipulate data and draw insights from large data sets.
- Familiar with relational (MySQL) databases and able to construct complex queries
- Strong problem solving skills with an emphasis on product development.
- Coding knowledge and experience with several languages: C, C++, Java,
- Knowledge and experience in statistical and data mining techniques: GLM/Regression, Random
- Experience visualizing/presenting data for stakeholders using: Periscope, Business Objects, etc


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