(Entry/senior/lead) Data Scientist

2 days ago

Singapore ABOITIZ DATA INNOVATION PTE. LTD. Full time

**Job Overview**

Aboitiz Data Innovation (ADI) is one of the leading up and coming start-ups in the field of Data Science and Artificial Intelligence. We believe data can drive change for a better world by advancing businesses across industries and communities. We are seeking talented (Entry/Senior/Lead) Data Scientists who are passionate about building data products to extract valuable business insights. If you are excited to work in a fast-paced start-up environment, this role will provide a great opportunity to grow your career with us.

**Responsibilities**:

- Work with stakeholders/clients to identify opportunities for leveraging company data to drive business solutions
- Mine and analyse 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
- Coordinate with different functional teams to implement models and monitor outcomes
- Develop processes and tools to monitor and analyse model performance and data accuracy

**Qualifications**
- Graduate or Post Graduate degree in computer science, data science, operations research, statistics, applied mathematics, or related quantitative fields
- Experience using statistical computer languages (R, Python, SLQ, etc.) to manipulate data and draw insights from large data sets
- Strong problem-solving skills with an emphasis on product development
- Excellent written and verbal communication skills
- A drive to learn and master new technologies and techniques
- Experience with distributed data / computing tools: Hadoop, Kafka, Attunity, Dask, Spark, etc. is a plus
- Experience developing and/or deploying in environments (AWS, GCP) and containerization techniques (Docker, Kubernetes, AWS Elastic) is a plus

**Leads**
- Experience working with and creating data architectures
- Experience in the design, planning, and implementation of data science projects
- Experience creating and using a variety of machine learning techniques (clustering, decision tree learning, artificial neural networks, etc.) is a plus

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