Filter Jobs

Experience:

5 years required

Skills:

Finance, Energetic

Job type:

Full-time

• Own the product from concept to design, specification, implementation, and analysis.
• Gather and synthesize requirements and input from multiple stakeholders (internal product teams, engineers, business teams, marketing, finance, etc.).
• Lead in-person conversations with internal customers to understand users, priorities, and feature considerations.
• Demonstrate strong leadership, organizational and execution skills, to drive product development projects from concept to launch, and operate in a fast- paced setting.
• Excellent leadership and communication skills. Expected to be asking questions, listening, driving team alignment, and influencing without authority across all levels of the organization.
• Bridge business and technical worlds very well, a good conceptual problem solver to articulate opportunities and solutions Internal.
• Technical confidence. You'll need to work with senior engineers to balance product velocity and technical debt tradeoffs.
• What You'll Need to Succeed.
• 5+ years of technical experience in ML engineering, Data Scientist, Data Analytics, or related role.
• 2+ years of technical program/product management experience in a fast-paced environment.
• Excellent interpersonal skills, energetic, and a self-starter.
• Excellent presentation skills.
• Strong organizational skills along with demonstrated ability to manage multiple tasks simultaneously and able to react to shifting priorities to meet business need.
• Effective communicator (written and verbal). Able to communicate effectively with both business and technical teams.
• Demonstrated analytical and quantitative skills. You use data to make decisions and are comfortable gathering it yourself or working with others to gather it.
• Hands-on experience with product management tools (JIRA etc).
• A problem-solving mindset.
• Strong technical background in the Data Science and ML world.
• The ability and positive mindset to "figure things out.".
• This position requires a successful candidate to relocate fully to Bangkok, Thailand, where relocation support is provided.
• Equal Opportunity Employer.
• At Agoda, we pride ourselves on being a company represented by people of all different backgrounds and orientations. We prioritize attracting diverse talent and cultivating an inclusive environment that encourages collaboration and innovation. Employment at Agoda is based solely on a person's merit and qualifications. We are committed to providing equal employment opportunity regardless of sex, age, race, color, national origin, religion, marital status, pregnancy, sexual orientation, gender identity, disability, citizenship, veteran or military status, and other legally protected characteristics.
• We will keep your application on file so that we can consider you for future vacancies and you can always ask to have your details removed from the file. For more details please read our privacy policy.
• To all recruitment agencies: Agoda does not accept third party resumes. Please do not send resumes to our jobs alias, Agoda employees or any other organization location. Agoda is not responsible for any fees related to unsolicited resumes.

Experience:

2 years required

Skills:

Research, Python, SQL

Job type:

Full-time

• Develop machine learning models such as credit model, income estimation model and fraud model.
• Research on cutting-edge technology to enhance existing model performance.
• Explore and conduct feature engineering on existing data set (telco data, retail store data, loan approval data).
• Develop sentimental analysis model in order to support collection strategy.
• Bachelor Degree in Computer Science, Operations Research, Engineering, or related quantitative discipline.
• 2-5 years of experiences in programming languages such as Python, SQL or Scala.
• 5+ years of hands-on experience in building & implementing AI/ML solutions for senior role.
• Experience with python libraries - Numpy, scikit-learn, OpenCV, Tensorflow, Pytorch, Flask, Django.
• Experience with source version control (Git, Bitbucket).
• Proven knowledge on Rest API, Docker, Google Big Query, VScode.
• Strong analytical skills and data-driven thinking.
• Strong understanding of quantitative analysis methods in relation to financial institutions.
• Ability to clearly communicate modeling results to a wide range of audiences.
• Nice to have.
• Experience in image processing or natural language processing (NLP).
• Solid understanding in collection model.
• Familiar with MLOps concepts.