Job Offer: Data Scientist (Human Capital):Government Technology Agency
Job description:
Data Scientist (Human Capital) Agency: Government Technology Agency Job no.: 539280 Work type: Permanent/Contract Job location: Singapore Categories:InfoComm, Technology, New Media Communications, Engineering
The Government Technology Agency (GovTech) aims to transform the delivery of Government digital services by taking an "outside-in" view, putting citizens and businesses at the heart of everything we do. We also develop the Smart Nation infrastructure and applications, and facilitate collaboration with citizens and businesses to co-develop technologies. Join us as we support Singapore's vision of building a Smart Nation - a nation of possibilities empowered through info-communications technology and related engineering. The People Organization Group (POG) is the GovTech division that supervises and promotes our human resources. Information technology is in charge of fostering the holistic development and enrichment of our employees, both individually and as a team.
We are pursuing an analytics professional to join us as a Data Scientist to develop our advanced HR analytics strategies. You will be given opportunities to apply people analytics using advanced analytics technologies, subsequently making critical decisions to directly impact initiatives and solutions and meet business needs. Success in the function will be demonstrated by your capability to thrive in a fast-paced and dynamic environment.
What to Expect: » Consult with HR and organizational partners to identify business problems » Extract and interpret large data sets from HR Centers of Excellence using complex data analysis » Design holistic analytical reports, articulating and transforming them into actionable people insights for key HR stakeholders » Level-up analytical capabilities for POG by enhancing intellectual programming analytics through integrating current and new HR systems and technologies » Participate in data science studies and projects to discover new analytics technologies How to Succeed: » At least 2 years of professional practice in data science, business analytics or a related field » In-depth expertise of basic data science concepts (e.g. machine-learning algorithms, natural language processing, business application of statistics) » Technical skills in data analysis technologies (e.g. Tableau, Python, R, SAS) and database development tools (e.g. SQL, Hadoop) » Excellent communication (written and verbal) and stakeholder-management skills » Self-starter and passionate in data analysis
Advertised: 27 Mar 2020 Applications close: Apply now