Machine Learning Data Scientist



  • Job Ref.No: 01170565
  • Budget:
  • Timeline: to be confirmed later
  • Closing on: 01/07/2021
  • Country: Singapore

Job Description

Part-timers & Freelancers are welcomed to apply this Full time position
We are looking for Data Scientists with a track record of building Machine Learning Models that can be deployed in our data products. The ideal candidate will be a talented data scientist, adept at machine learning and/or applied statistics with strong foundations in computer science principles.

As a member of the Customer Team, you will be responsible for building predictive models in various areas such as forecasting, optimization, classification, as well as for developing the corresponding proof-of-concept/pilot system to demonstrate how the models’ outputs can generate business impact.
You will have an opportunity to liaise with our clients to access large volumes of data in disparate sectors and industries and to refine the model based on continuous interactions with our customers.

Your responsibilities
Build complex forecasting, statistical, predictive models (possibly from large-scale data sets).
Design and develop proof-of-concept solutions to diverse technology and business problems.
Prototype, test, and build models that will be adapted for use in our production pipelines.
Proactively investigate, identify and implement new technology based on emerging trends.
Create actionable insights using machine learning and statistical techniques, and translate them into concrete, actionable recommendations for business or product improvements, working in collaboration with internal and external partners.
Present strategic insights and implications in a compelling fashion to internal stakeholders, external partners, and clients.
Work with client teams in a support role on various analysis, modeling and software technology transfer tasks.

About us
We are scientists and engineers with a strong passion for cutting-edge technology and decision science.
Our mission is to enable enterprises to reduce time to decision with state-of-the-art forecasting and optimization.
Our algorithms are based on automatic machine learning techniques and allow for the discovery of optimal forecasting models.
We unlock sizable business and financial impact in terms of lower lost demand, decrease in inventory, lower working capital, and financing costs.
Job Requirement
Degree in computer science, machine learning, statistics, mathematics, or related field;
The ideal candidate will have at least 5+ years of proven industry experience in time-series forecasting and optimization preferably in the supply chain, financial or similar industries;
Proficient with some of the following techniques: Boosting techniques (XGBoost, Catboost), Decision Trees, Deep Learning (LSTM), Evolutionary Algorithms, K-Nearest Neighbors, Linear, and Logistic Regression, Neural Networks, and Support Vector Machines;
Proficient with best practices around modeling and validation;
Experience developing software in Python;
Experience building complex predictive models;
Experience in handling real-world data sets through project work, internships, or employment;
Excellent analytical abilities, strong time management, organizational, and problem-solving skills, ability to work independently with minimal oversight;
Outstanding verbal and written communication skills and, in particular, ability to annotate and document software for hand-off to other senior technical personnel;
Familiarity with PostgreSQL, ClickHouse, and dash-boarding tools.

You may already know if you’re a fit, but perhaps you’re worried about some of the requirements? 
We’re looking for smart and passionate Data Scientists; if you’re the right candidate, we’re flexible.

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