Mô Tả Công Việc
Parcel Perform is looking for an amazing team member to support us in data analyzing!Are you interested in e-commerce and like to take on new challenges? Help us drive Parcel Perform’s growth and join our team! We are looking for you! WE NEED YOU ON OUR TEAM!
Build a new DS/ML team in VN – as the first team member, you’ll be able to hire your own team
Spearhead the introduction of new modeling use cases – our business has predictive ML scenarios from segmentation over quantile regression to reinforcement learning
Ensure technical and operational excellence, including the technical implementation of our ML library
Work with the other vertical leaders to represent DSML, where inside the Data & Insights org (Data Engineering, Descriptive Analytics, Gen AI), or outside (Product, Solutions Consulting, Operations) of Data
Drive best practices and actively work to grow our people, both inside and outside your team. Define what they need to grow and work with the leadership to provide it to your staff.
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Yêu Cầu Công Việc
WHAT YOU SHOULD BRING ALONG!
5-10 years of experience in Data Science and Machine Learning, with some level of leadership experience
Principal-level skills in either Data Science (focus on translation of business problems and information into analytics use cases and statistical variables) or Machine Learning Engineering (deployment, management and monitoring of in-production models).
Strong algorithmic knowledge – you should have the background to identify which modeling approach is best for a business problem, and why
Strong business acumen is highly welcome – we build models to generate value for our clients. You don’t need to bring knowledge about the logistics or e-commerce sector, but we expect you to bring a curious mind and willingness to learn
Strong proficiency in Python and either Pandas or Polars. Data-related understanding of algorithms (functional programming) or languages (Scala, Rust) is welcome but not required.
Good communication skills, and the ability to translate findings for a non-technical audience.
Good written and spoken English.
Open-minded, friendly, and strong willingness to keep learning and pushing yourself to higher and higher levels.
Curiosity about anything AI. Parcel Perform is all in AI – willingness to leverage AI to make us stronger is a must.
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Quyền Lợi
WHAT YOU WILL RECEIVE IN RETURN!
We at Parcel Perform are dedicated to being a platform for growth for all our team members, regardless of function and location.
The opportunity to work in a fast-growing, super exciting, and innovative business that will revolutionize the e-commerce logistics industry. You will be the needle of success on the growth of a global product that will become a key platform behind successful e-commerce logistics worldwide.
An incredibly extensive data landscape, ranging from information on the update frequency of carrier EDDs to the propensity of purchasing of retail customers
The ability to continuously learn and develop in an international setting with you being a critical driver behind the success of us achieving our mission.
An environment where everybody never stops growing and focuses on succeeding – we continuously work with you on your strengths and weaknesses across many important dimensions and look at ways for you to address them and further your development.
The ability to experience the AI revolution at the forefront – if a tool makes us stronger, we will use it.
WHO ARE WE AT PARCEL PERFORM!Parcel Perform (www.parcelperform.com) is a leading e-commerce delivery experience platform, empowering businesses to optimize the entire customer journey from checkout to delivery and returns. By unifying logistics data and providing actionable insights and intelligent automation, including leveraging AI capabilities, Parcel Perform helps businesses enhance customer satisfaction, streamline operations, and drive growth. With a global reach and an extensive carrier network, Parcel Perform is the trusted partner for ambitious e-commerce businesses, marketplaces, and 3PLs worldwide. We’re committed to continuously innovating, using data to optimize every step of the e-commerce delivery.