Snaphunt

Data Scientist

Snaphunt

| Singapore

Salary (USD) Not specified

Full Time | 0 Applicant(s)

Posted: 08 Dec 2018


About Company

We help people find jobs they love and companies hire employees who stay longer.

Job Description

Work alongside & learn from best in class talent

Great work environment


The Employer

Our client is a Fortune 500, end-to-end IT services company helping clients harness the power of innovation to thrive on change and guide their digital transformation journeys.


The Job

Work closely with your business to identify issues and use data to propose solutions for effective decision making

Merge, manage, interrogate and extract data to supply tailored reports to colleagues, customers or the wider organisation

Maintain clear and coherent communication, both verbal and written, to understand data needs and report results

Use machine learning tools and statistical techniques to produce solutions to problems

Create clear reports that tell compelling stories about how customers or clients work with the business

Horizon scan to stay up to date with latest technology, techniques and methods

Conduct research from which you'll develop prototypes and proof of concepts

Look for opportunities to use insights/datasets/code/models across other functions in the organisation (for example in the HR and marketing departments)

Carrying out and attaining the mission and the goals of the Innovation lab managed.

Assign employees to take responsibility for their jobs and goals. Delegate responsibility and expect accountability and regular feedback

Able to engage with client and demonstrate present technologies

Manage relationships between different business groups directly involved with Digital Labs.


The Profile

Bachelor or Master’s degree in technical disciplines including engineering, computer science, and applied sciences. Background in Financial Engineering, Mathematics, or Statistics is also desirable

Experience in advanced statistical modelling and machine learning methods to develop robust predictive models

Experience in working with large unstructured data sets and distributed computing tools (e.g. Spark, Hadoop, Hive, etc.); leading platforms (e.g. SAS, Tableau, Qlik)

Experience with enterprise databases, in traditional and alternative database technologies (SQL and NoSQL)

Hacking skills (ability to quickly prototype solutions for diverse needs)

Data manipulation – comfortable handling multiple data types across varying frequencies and complexities as well as familiar in feature selection and transformation

Fluency in Python, C++, R and/or other similar languages

Adept in data visualization

Ability to work in a challenging environment and is creative in coming up with solutions to solve complex problems

Strong communication skills, and a passion for data, technology

Singaporean nationality only due to security requirements (CAT1 Clearance) of the projects involved.

Please apply for this role using the following link: https://snaphunt.com/jobs/22600931