Job Description

Job scopes:

• Drive the evolution of data & services products/platforms with an impact focused on data science and engineering
• Design machine learning systems and self-running artificial intelligence (AI) software to automate predictive models.
• Participate in identification and evaluation of data elements to deliver analytics for product development
• Solve complex problems with multi-layered data sets, as well as optimizing existing machine learning libraries and frameworks.
• Continuously innovate and determine new approaches & technologies to solve business problems and generate business insights & recommendations
• Participate in the development of data and analytic infrastructure for product development
• Partner with roles across the organization including consultants, engineering, and sales to determine the highest priority problems to solve
• Evaluate trade-offs between many possible analytics solutions to a problem, taking into account usability, technical feasibility, timelines, and differing stakeholder opinions to make a decision
• Break large solutions into smaller, releasable milestones to collect data and feedback from product managers, clients, and other stakeholders
• Evangelize releases to users, incorporating feedback, and tracking usage to inform future development
• Ensure proper data governance policies are followed by implementing or validating Data Lineage, Quality checks, classification, etc.
• Work with small, cross-functional teams to define the vision, establish team culture and processes
• Consistently focus on key drivers of organization value and prioritize operational activities accordingly
• Escalate technical errors or bugs detected in project work
• Continuously innovate and determine new approaches, tools, techniques & technologies to solve business problems and generate business insights & recommendations
• Experiment with new tools to streamline the development, testing, deployment, and running of our data pipelines.

Job requirement

• Degree in Software Development, Computer Science, or similar.
• Experience with performance Tuning of Database Schemas, Databases, SQL, ETL Jobs, and related scripts
• Familiar with batch processing and workflow tools such as NiFi
• Experience in managing/working in Agile teams
• Experience in building and deploying production-level data-driven applications and data processing workflows/pipelines and/or implementing machine learning systems at scale in Java, Scala, or Python and deliver analytics involving all phases like data ingestion, feature engineering, modelling, tuning, evaluating, monitoring, and presenting
• High proficiency in Python, Spark, SQL
• Hands-on experience with Hadoop big data tools (Hive, Impala, Spark)
• Motivated, flexible, self-directed, and desire to lead small project teams
• Curiosity, creativity, and excitement for technology and innovation
• Demonstrated quantitative and problem-solving abilities
• Excellent project management skills
• Ability to quickly learn and implement new technologies, and perform POC to explore best solution for the problem statement
• Flexibility to work as a member of a matrix based diverse and geographically distributed project teams
• Outstanding communication and organizational skills

Cristina Malabuyoc Malijan EA License No. 02C3423 Personnel Registration No. R1111547

Please note that your response to this advertisement and communications with us pursuant to this advertisement will constitute informed consent to the collection, use and/or disclosure of personal data by ManpowerGroup Singapore for the purpose of carrying out its business, in compliance with the relevant provisions of the Personal Data Protection Act 2012. To learn more about ManpowerGroup\'s Global Privacy Policy, please visit https://www.manpower.com.sg/privacy-policy

Manpower