Job Details
- Developing new data-science / ML functions across products;
- Taking charge of existing code base for continuous maintenance, bug fixing, and improvement;
- Working with the Software/DevOps Engineering team to brainstorm ideas, develop new features and improve the product, delivering them as per the roadmap and release schedule;
- Facilitate the design process for new features as a representative from the Data Science team, collaborating and sharing knowledge with product managers/analysts, software/DevOps engineers and UI/UX designers;
- Supporting our Sales/BD, Marketing, and Community Development teams with:
– Client facing: Developing and demonstrating use cases on the Engine to sales leads, as well as supporting existing and incoming clients with on-boarding and troubleshooting their data science / ML projects;
– Knowledge: Articulating and explaining new capabilities and their applicability to various business use cases and their limitations. - Contribute to the evangelization of our product and culture internally and externally.
Job Requirements
- Real-world experience in working with customers to develop and deploy Data Science and ML solutions for one or more of the following use cases: demand forecasting & planning, inventory planning, revenue optimization, price optimization, churn prediction & prevention in manufucturing, wholesale distribution, retail and/or logistics/supply chain;
- Solid analytical thinking and problem-solving skills and can break a complex problem into smaller and solvable pieces;
- Hands-on experience and demonstrable ability to code fluently in Python, complemented with the ability to quickly learn and code in other languages (such as Scala) on a smaller scale;
- Strong working knowledge of efficient data structures, computational complexity and algorithms and the ability to apply them in practical situations;
- Solid theoretical understanding in probability, statistics, supervised and unsupervised learning, time series and the ability to apply them to projects when needed;
- Strong experience and demonstrable skills in Data Science stack covering scikit-learn, pandas, numpy, scipy. Desirable: Numba, dask, RAPIDS cuML and Apache Spark;
- Working knowledge of deep learning, NLP, Generative AI, LLMs and prompt engineering;
- Experience in / be familiar with good software-engineering standards; and
- 4+ years as a Data Scientist or ML Engineer in a strong data-driven SaaS environment/product;
How to Apply
You can apply to this job via “Apply now” button, or send you CV to one of our recruiters, at:
- Nhi Ha (Ms): nhiha@jobseeker.vn or
- Duong Le (Ms): duong.le@jobseeker.vn or
- Tham Mai Xuan (Ms): tham.maixuan@jobseeker.vn
If you don’t see any feedback after 24 hours, please don’t hesitate to submit a report to answerme@jobseeker.vn
Thank you very much!