Data Scientist

2 weeks ago


Singapore ASCENTIS PTE. LTD. Full time

Unlock Your Potential with a Growing and Dynamic Company.

At Ascentis, we are proud to be a leading CRM, digital, and social company with a track record of excellence. With over 50 prestigious awards under our belt, we have established ourselves as a trusted partner in servicing regional accounts across 13 countries in Southeast Asia.

Our success is rooted in our core values: PACT - professionalism, accountability, consistency, and teamwork. These values drive our dynamic and fast-paced environment, where results matter. We believe in fostering a culture of open communication, where every voice is valued, and ideas are encouraged to flourish. One of our key differentiators is our flat organizational structure, which promotes a collaborative and inclusive work environment. Our management team is hands-on and approachable, working side by side with our talented employees to drive innovation and achieve remarkable results. As a growing company, we offer tremendous potential for personal and professional growth. We embrace a meritocratic approach, recognizing and rewarding the contributions of talented individuals who thrive in a team-oriented setting.

We believe in providing ample opportunities for our employees to take on new challenges, learn, and advance their careers. If you are a passionate and driven individual seeking a rewarding career in a company that values your skills and potential, Ascentis is the place for you.

Join us on our journey of success and be part of a team that is shaping the future of our industry. We look forward to welcoming exceptional talent who share our values and are ready to make an impact. Together, we can ascend to new heights.

**Responsibilities**
- Build Machine Learning (ML) pipelines and data platform to allow Ascentis and its clients to make better decisions around CRM and Loyalty programs.
- Design and develop data models and algorithms to provide predictive capabilities to Ascentis products and services.
- Define and align business use cases and key metrics of the ML systems, with stakeholders.
- Identify hypotheses, devise and run A/B tests, experiment with the results and recommend ML models.
- Work with Data Engineering and IT Ops team to build the backend infrastructure to run and scale the ML platform.
- Collaborate with Engineering and Product teams for integrated solutions with data platform.
- Able to communicate complex processes and data models, as well as articulating the benefits of certain design, to different target audiences (especially business users).
- May be required to work with external partners or clients in building the data platform.

**Requirements**:

- Master or PhD in Data Science related courses or equivalent practical experiences.
- Successfully built and delivered large-scale data science/machine learning platform.
- Familiar and hands on experience with Machine Learning concepts and algorithms.
- Experience with at least one of the modern distributed Machine Learning or Deep Learning frameworks.
- Familiarity with AWS Analytics platform in general, such as the S3, Glue, Athena, Lambda, Macie, SageMaker or QuickSight.
- Familiarity with Data Lake and Data Warehouse design.
- Practical working experience using Python.
- Good problem-solver with analytical mindset.



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