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Parcel Perform

147 Ton Dat Tien, TP Hồ Chí Minh

Quy mô công ty : 25-99

Xem thêm

Tóm lược

  • 25-99
  • Product
  • Việt Nam

Data Science Team Lead

Parcel Perform

  • Quận 7, TP Hồ Chí Minh
  • Thỏa Thuận
  •  Toàn thời gian
  •  English
  •  Trưởng nhóm/Giám sát
1
1

  •  Ngày Đăng:16/04/2025

  • Hết hạn
Data Science Team Lead
Hết hạn
Yêu cầu kỹ thuật: Machine Learning , Algorithm , Ecommerce , Python , AI (Artificial Intelligence) , Scala , Pandas , Rust , Polars

Mô tả công việc

Tóm tắt 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.

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.

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.

Ngôn ngữ

    • English

    • Nói: Intermediate - Đọc: Intermediate - Viết: Intermediate

Yêu cầu kỹ thuật

  • Machine Learning
  • Algorithm
  • Ecommerce
  • Python
  • AI (Artificial Intelligence)
  • Scala
  • Pandas
  • Rust
  • Polars

NĂNG LỰC

  • Team Leadership
  • Willing to learn
  • Communication Skills
  • Friendly

Tìm kiếm công việc phù hợp

Thông tin doanh nghiệp

Parcel Perform is a Singapore-based disruptor in the e-commerce logistics industry.

We are aiming to excel our customers’ end-to-end logistics experience and developed a SaaS platform to help merchants and customers to optimise their e-commerce logistics and overcome the complexity of managing this part of their business.

We are a dynamic, fast growing team, excited about e-commerce and logistics and the opportunity of change a whole industry with the power of technology.

Các việc làm khác của nhà tuyển dụng này

  • 25-99
  • Product
  • Việt Nam

AI Analyst

Parcel Perform

  • Quận 7, TP Hồ Chí Minh
  • Thỏa Thuận
  •  Toàn thời gian
  •  Có kinh nghiêm (Nhân viên)
1
Ngày Đăng: 23/06/2025
Kỹ năng: Python, AI (Artificial Intelligence), LLM, LangChain, Hugging Face, LlamaIndex, Amazon Bedrock, Azure OpenAI, Vertex AI, Jaspersoft, MS Azure, OpenAI, Tableau, AWS, Data Analysis, Statistics, MS Excel, MS SQL, Ecommerce, Blockchain, NLP, Data Visualization

Tìm kiếm công việc phù hợp

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