Data Scientist / Machine Learning Engineer
Hiredly
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Undisclosed
TTDI
Full-Time
Job Description
We are looking for a motivated Data Scientist/Machine Learning Engineer who is ready to apply all the knowledge you have gathered to an authentic real-world experience.
What will you do?
- 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.
Job Requirements
- At least a Bachelor's degree in Computer Science, Financial Mathematics, Actuarial Science or related discipline.
- Graduating students encouraged to apply (Masters / PHDs would be an advantage)
- Must have hands-on experience with machine learning applied to NLP, image recognition or predictive analytics.
- Proficiency in Python and PostgreSQL.
- Preferably 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.
- Knowledge of SQL, Python and Deep Learning algorithms is mandatory.
- 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.
Company Benefits
Employee Engagement Activities
Join us for all the festivities, house cups (team-based competitions) and other fun stuff the People & Culture team have in store for you!
Subsidised Parking
Thinking about where to park can be such a chore! Let us ease those worries by subsidising your parking.
Employee Wellness
We care about your overall well-being, whether mentally (subsidised mental health sessions) or physically (badminton, futsal and jogging sessions)
No Dress Code
Shorts? Check. Slippers? Check. Come in however you like, just make sure to wear clothes!
Rewards
High performing employees will be awarded shares for hitting company targets, regardless of discipline.
Music at Work
Everyone should be happy and engaged at work, and listening to music we like definitely helps!
Additional Info
Company Activity
Last active - few hours ago
Experience Level
0 - 7 Years of Experience
Job Specialisation
Data Science & Analytics, Software Development & QA / Testing
Company Profile
Hiredly
"We are on an unwavering mission to be SEA’s most personalised talent ecosystem; elevating human progress by helping careers and companies grow."
Hiredly (previously known as WOBB) is 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.
For the fresh and inexperienced job seekers, Hiredly aims to help them at every step of the job-seeking journey to start their career right - through timely career guides and informative content to make the discovery of their ideal workplace fast and easy. The platform is designed to help quality job seekers stand out from the crowd and be easily noticed by employers.
For the experienced job seekers who have little time to spare for job-seeking, Hiredly’s specialized headhunters will recommend and match them to the right employer - with just a drop of their CV, Hiredly does the job search for them.
Hiredly’s hybrid approach to recruitment offers employers and job seekers the flexibility to choose the best recruitment solution for them. Both the job portal and headhunting recruitment solutions may be used independently or together for a holistic job searching experience.
Data Scientist / Machine Learning Engineer
HiredlyUndisclosed
TTDI
Full-Time
This job is no longer available