Data Scientist

1 week ago


Abu Dhabi, United Arab Emirates PT Eureka Analytics Indonesia Full time

Data Scientist
- Eureka’s Financial Intelligence products enable credit and risk scoring leveraging telecom and alternative data as well as open banking and transaction data.
- Eureka’s Market Intelligence products provide the country's largest continuous market research panel for digital and location intelligence.
- Eureka’s DS2 Feature Store and AI Learning Fabric provide data scientists with the tools to deliver data science at scale.

We work with Fortune 500 companies in industries including telecom, banking, insurance, eCommerce and transport across Asia, the Middle East, Africa and the United States.

**Responsibilities**:

- Conduct data exploration and discovery analysis on multiple data sources, such as telco data, geolocation data, online behavioural data, image and video data, and others.
- Conduct experiments with data and build working prototypes to demonstrate the ideas and results.
- Utilize big data technologies like Hadoop and search technologies like Elastic to build scalable distributed AI/ML/Search pipelines and algorithms.
- Develop robust components and experimentation on real data, leading to the implementation of machine learning and AI capabilities into products.
- Participate in developing and maintaining product documentation related to components, services and products contributed to.
- Participate in IP creation, such as patenting, case studies, white papers and research papers as determined by business needs.
- Collaborate with other Eureka teams to ensure efficient product releases and contribute to new use cases for solving problems for customers and clients.
- Contribute, adopt and execute projects in Agile methodologies
- Work closely with all stakeholders to identify, troubleshoot and find solutions to product development and operational obstacles.

**Requirements**:

- Demonstrated ability to take high level, loosely-defined business problems and identify precise, quantitative solutions.
- Self-starter, capable of experimenting with various tools and developing own code and scripts for data manipulation, experimentation, algorithm implementation, accuracy measurements, etc.
- Demonstrated ability to work with databases and engines for structured and non-structured data, data transformation (ETL), distributed computing, software development methodologies, and data science languages like Python, R, or others
- Ability to communicate with data in a clear and precise way to business audiences and company customers.
- Experience in Big Data technologies, such as Apache Spark and Hive and knowledge of Scala programming.
- Masters or Ph. D. in Computer Science, Machine Learning, Operations Research, Mathematics, Statistics, or other related fields.
- Prior data science experience in financial domain is a plus.
- Preferred to be familiar with basic software engineering skills, such as agile methodologies, testing, and version control.

**Salary**: AED25,000.00 - AED33,000.00 per month

**Experience**:

- Machine Learning, Data Mining, statistical analysis: 3 years (required)


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