Data Scientist

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 defining and implementing information management solutions to address operational needs within businesses. 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 Python and SQL to manipulate data and draw insights from large datasets
• 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
• Nice to have experience with distributed data/computing tools: Databricks, Hadoop, Kafka, Attunity, Dask, Spark, etc...
• Nice to have experience developing and/or deploying in environments (AWS) and containerization techniques (Docker, AWS Elastic)

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.