Job Description

This is an exciting full-time opportunity, suitable for anyone with at least 3 years of experience looking to directly influence the direction of the business with imaginative solutions to problems & by providing valuable insights that HIREDLY needs in order to grow and compete in the market

Hiredly (Formerly WOBB) is a genuine disrupter within the HR and Tech space and we are the leading hybrid recruitment platform for junior to mid-management talent. Consisting of both a job portal and a headhunting recruitment solution, it’s the easiest place for professional job seekers and employers to connect with each other.

We are looking for a motivated Senior Data Scientist who is ready to apply all the knowledge you have gathered to an authentic real-world experience.

Job Requirements

Responsibilities

• Responsible for evaluating collected data, processing and analysing gathered data associated with business KPIs in order to drive improvements.
• Retrieve, analyse, and transform data into creative, aesthetically-pleasing visualisations that provide insight in subject areas and invoke action.
• Responsible for scripting data models, automating data feeds using analytics tools to help visualise data and various ad hoc projects.
• Responsible to research and develop machine learning models as well as curating and improving the results delivered by the machine learning models.
• Develop data mining, machine learning, statistical and graph-based algorithms designed to analyse large data sets for business insights.

Requirements

• minimum of 3 years of experience.
• A Bachelor's degree in Computer Science, Financial Mathematics, Actuarial Science or related discipline.
• Fluency in Python and SQL.
• Must have hands-on experience with machine learning applied to NLP, image recognition or predictive analytics.
• Familiar with applications such as ElasticSearch, Kibana, deep learning frameworks (Tensorflow, Keras, etc.)
• Deep understanding on Chatbot AI, such as DialogFlow and developing custom data visualization using Google Data Studio or D3.js is an added advantage.
• Must possess strong passion in interrogating data and high expectation on intensive data wrangling and cleansing activities.
• Candidate with experience and strong methodology in operationalising predictive models will be an added advantage.
• A strong knowledge of statistics and data analysis with experience in machine learning techniques such as supervised/unsupervised learning, recommendation systems, reinforcement learning, deep learning.
• Experience and knowledge of cloud technologies such as AWS (Textract, Sagemaker) and Google Cloud AI platforms are an added advantage.
• A desire to research and utilise new and existing algorithms in data science and artificial intelligence in order to design, build and implement recommendation engines.

What’s Next? 

1. Click APPLY NOW for us to review your application. Remember to answer the 3 virtual interviewer questions to boost your chances of getting shortlisted.
2. If you are shortlisted, you will receive a pre-screen call from our People & Culture Team!

Good Luck & Chat soon!