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 Lead Data Scientists who are passionate about defining and implementing information management solutions to address operational needs within businesses and motivated to work on GenAI.
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
- Develop custom data models and algorithms to apply to data sets
- 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, Statistics, Informatics, Information Systems, or related quantitative fields
- Knowledge of advanced statistical techniques and concepts (regression, constrained optimization, sentiment analysis, graph community detection, etc.) and experience with applications
- 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
- 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.
