Canopy
Lalamove (HK)

Lalamove - Data Scientist

Entry Level
Hong Kong
Data Scientist
Back to Jobs

About Us

At Lalamove, we strongly believe in the power of community. Millions of drivers and customers use our technology every day to connect with one another and move things that matter. Delivery is what we do best and we ensure it is always fast and simple.

Who we're looking for

The Data Science Product (DSP) team is looking for a Data Scientist to join a growing team of data scientists and machine learning engineers to support different functional departments in the headquarters, as well as our offices around the Globe.

As a Data Scientist at Lalamove, you will be working at the intersection of data analysis and science, drawing meaningful insights from data sets using statistical tools as well as designing data modeling processes. We tackle a multitude of exciting challenges including order allocation, OCR, fraud detection, computer vision, and many others you will help identify and resolve. If you enjoy finding patterns amidst chaos, and have experience using analytics to affect revenue, growth, operations or beyond, we’re looking for someone like you!

What you will be doing
  • Use quantitative analysis and the presentation of data to see beyond the numbers and understand what drives our business
  • Build full-cycle analytics experiments, reports, and dashboards using SQL, Python, or other scripting and statistical tools
  • Use statistical techniques and hypothesis testing to validate your findings
  • Provide insights to help business and product leaders understand marketplace dynamics, user and driver behaviors
Who you are

What we seek:

  • Quick learner: you enjoy analyzing data, and you have the ability to learn new methods and technologies quickly
  • Problem solver: you have strong critical thinking skills, willing to find creative solutions to difficult problems and work smart before hard
  • High autonomy: self-organized, initiator, passionate with a can-do attitude and own end-to-end projects
  • Team player: you go the extra mile to ensure success and alignment of all parties involved
  • Communicative: you effectively interpret insights in simple terms to inspire actions and influence the strategy of stakeholders

What you'll need:

  • 2+ years of work experience in a business intelligence, data analytics or data science role (fresh graduates also considered)
  • Educational background in statistics, computer science, other applied sciences or understanding of data science theory
  • Experience in applying visualization, statistical inference and other data mining techniques on variety of data
  • Solid programming skills with Python and SQL
  • Experience with ETL, A/B Testing, and statistical analysis (e.g. hypothesis testing, experimentation, regressions)
  • Experience using Tableau or other BI Tools for reporting and analyses
  • Experience with AWS services is a plus
  • Good command of English

Sign in to Happyer

Help us Complete Your Profile

What's your full name?

What's your current position?

Please fill in all name and position fields.
Next

What is your current status

What is your career goal?

You can choose more than one goal

Learn new skills
Make a major career switch
Land a (new) job
Not totally sure...

Receive job alert emails

Please select your status and at least one career goal.
Next

Where would you like to work?

You can choose more than one location

I want to work in

What are you looking for next?

It’s okay if you’re not sure. We got you covered no matter what.

Please select at least one location, pick your experience level, and your career path in order to continue.
Next
Success! Your application is on it's way
.

We've sent a notification to the hiring manager with your profile details and resume.

Back to Job

Choose your "Quick Apply" resume

Be sure to complete your profile for best results. This is the final step of your application.

PDF, Doc, or Docx. 10MB maximum.
Confirm Application

"Quick Apply" or use a custom resume?

Quick ApplyCustom Resume
Unit 403, Innocentre, 72 Tat Chee Ave
Interested in working at
Lalamove (HK)
?

Related Positions

AlikeAudience (HK)

AlikeAudience (HK) - Data Product Developer

Data Product Developer
Hong Kong
WeLab (HK)

WeLab - Senior Manager, Credit Analytics - WeLab Bank

Senior Manager, Credit Analytics
Hong Kong
Lalamove (HK)

Lalamove - Business Intelligence (BI) Engineer

Business Intelligence (BI) Engineer
Hong Kong