Head of Data Science

This role is with X0PA AI a startup supported by SGInnovate.

X0PA AI is an Artificial Intelligence Software as a Service (SaaS) start-up that aims to digitally transform the hiring process. We aim to save companies significant time and cost in hiring while achieving the highest level of objectivity, ultimately enhancing retention, loyalty and person to job and organization fit. Through our AI and Machine Learning capabilities, we are able to source, score and rank talent to identify the best talent for each organisation. X0PA AI has recently launched X0PA ROOM, an AI enabled video interview platform with AI capabilities.

As a Data Scientist in X0PA you will contribute to the development of innovative products, and you will make a significant impact in the HR industry.

The candidate should be comfortable in exploring large datasets, run statistical analyses, build predictive models, and communicate clearly the results to other team members and customers.

We are looking for candidates with hands-on experience in developing data science solutions.

Duties & Responsibilities:

• Frame the opportunities as data science problems, formulate hypotheses, and identify techniques for experimentation
• Continuous development of our in-house products
• Work with other data scientists for data exploration and presentation
• Conduct experiments, assess model performance, and present results to business stakeholders
• Facilitate deployment of finalized solutions to production environment
• Monitor model performances and conduct continuous improvement of the models
• Accountable for the delivery of data science projects that drive value for business

Qualifications:

• MS or PhD in Data Science, Statistics, Operations Research or in a related field, or similar level qualification and experiences in applying data science techniques to business problems or Bachelor’s degree with work experience in data science.
• Strong knowledge of data science algorithms including decision trees, probability networks, association rules, clustering, regression, and neural networks
• Strong coding skills (Python, R). Knowledge of C/C++ is a plus
• Strong experience in deploying machine learning models into production environment, e.g. Tensorflow deployment, microservice API writing.
• Familiarity with SQL/NoSQL
• Strong in data manipulation, statistical analysis, and modeling
• Good understanding of Natural Language Processing/Text mining
• Ability to present analysis in an accessible manner