Senior Machine Learning Engineer tackling complex payment risk challenges for Airwallex. Collaborating with teams to deliver industry - leading model systems while implementing end - to - end ML solutions.
About the role
- Senior Data Scientist providing thought leadership and hands-on expertise in analytics for energy and manufacturing. Working collaboratively to develop data-driven solutions and enhance customer competitiveness.
Responsibilities
- Delve deep into energy, manufacturing, or similar types of analytical and data science challenges.
- Engage with customers through presales support and post-sales success projects.
- Perform and guide R&D topics in the field of applied machine learning and AI.
- Example topics of research and projects include Large Language Models, digital twin, anomaly detection in time series, or mathematical modeling of manufacturing processes.
- Create reusable data models, workflows and test suites in order to streamline project delivery.
- Provide input into product management and engineering for the product roadmap.
- Innovate in the areas of application and deployment of machine learning.
- Tool Kit Development: create demos and templates with data science libraries.
- Technical marketing: create white papers, blogs and content for the Spotfire user community.
- Represent the team as a speaker or instructor in industry events and external conferences.
- Participate in technical customer engagements through understanding Spotfire use cases, providing guidance, and building prototypes.
- Collaborate with stakeholders on specific industry knowledge, analytics use cases and customer stories related to data science or machine learning in the Energy sector.
Requirements
- 5+ years of experience in advanced data analytics and delivery of demonstrations, projects, engagements or deployed software applications.
- Experience with applying advanced analytics such as machine learning and optimization techniques to large, complex and disparate data sources.
- 5+ years of experience in applying analytics to industry verticals such as Energy, Manufacturing, or similar.
- Superior communication and storytelling skills with data.
- The ability to comfortably communicate with customers’ senior industry personnel, provide compelling presentations and demonstrations of analytics software, and the business value of analytics projects demonstrating domain knowledge in a key Industry such as Manufacturing, Energy, Telecommunications, Financial Services, Healthcare, or Retail.
- Capability to formulate a real-world problem into a mathematical equivalent, propose various solutions, compare and contrast them, deploy the solution, validate the results, and present the results to technical and non-technical stakeholders.
- 5+ years of experience with Python or R and some knowledge of SQL.
- Some experience with other software environments e.g. Spotfire, Tableau, Qlikview, SPSS, KNIME, Azure, AWS and/or other data mining tools will be a plus.
- Excellent communication and collaboration skills, with the ability to work effectively in a team environment and communicate technical concepts to non-technical stakeholders
- Strong problem-solving skills, with the ability to identify key areas for improvement and develop data-driven solutions to address them.
- A Master’s or higher degree in STEM (Computer Science, Statistics, Data Science, Engineering, Science, or related analytical field of study) with graduate classes in statistics and data mining.
Benefits
- U.S. based employees are typically offered access to healthcare
- life insurance and disability benefits
- 401(k) plan and company match
- among others
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