View Our Website View All Jobs

Data Science and Analytics Manager

We are looking for a tech-and-business savvy Data Science Manager to guide our data team to build innovative and high-business-value data services across our operating countries. You will be leading a team of Data Scientists, Data Engineers and Data Analysts to create data-informed solutions for our products and business, such as optimal driver dispatch, demand & unmet demand prediction, user retention, marketplace optimization & monitoring, incentive recommendation, as well as improve our data pipeline & warehouses and provide day-to-day analytics services to serve business and product needs.

What you will be doing:

  • lead, manage and coach a team of data scientists, data analysts and data engineers
  • collaborate with regional and headquarter teams to understand their business requirements and help them leverage data to solve their problems
  • promote the state of the art data methodologies to our company and advance our data capabilities
  • communicate the value of the data team's work to management and other teams and explain technical concepts to them in a non-technical way
  • provide thought leadership in deriving actionable insights from data
  • plan and prioritize data projects as well as create data strategies and road-maps to realize business goals and maximize ROI
  • guide team on building/implementing models & algorithms and design experiments to create data-driven product & services and estimate/evaluate/track their impact on business performance
  • review data analysis to offer actionable insight and business & product intelligence
  • lead team to improve data quality, availability, and integration
  • support and train colleagues from different business units with basic data exploration skills

You may fit this role if you have:

  • 5+ years of relevant experience in data analytics & science
  • 2+ years of data team management experience
  • proven track record in leveraging data analytics & science to solve business problems and steer business decisions
  • commercial experience in making data-driven models & algorithms and applying machine/statistical learning methods
  • practical skills in designing, conducting and evaluating data-driven experiments for operations, products and/or campaigns
  • broad knowledge of data technologies, e.g. Python, Spark, SQL, AWS stack, Kafka, Kinesis, ETL, ELK
  • proficiency in statistical analysis, prescriptive analytics, A/B testing and time-series analysis
  • preferably a background in logistics

This role requires:

  • impeccable communication skills
  • fluent English
  • business and commercial mindset
  • the person to be passionate in delivering happiness to both internal and external stakeholders
  • hunger for continuous learning and growth
  • the person to be hands-on, self-motivated and proactively looking for ways to improve and get things done
  • patience and ability to work with stakeholders of different levels and backgrounds

What we offer at GOGOVAN:

  • you can bring your aspirations, skills, and talent to help innovate and shape the future with us
  • you will be challenged and stretched, but you will also be rewarded. The work is exciting and it comes with a great sense of achievement
  • 13" MacBook Pro
  • private health insurance
  • competitive salary package
  • flexible working hours
  • work-life balance
  • brand new welcome kit
  • office gym
  • free snacks and fruit

Over the years, GOGOVAN has expanded its business from Hong Kong to Singapore, South Korea, Mainland China, India, and Taipei City and will continue to expand globally. In August 2017, GOGOVAN merged with 58 Suyun, the leader in Mainland China’s intra-city logistics market, and increased GOGOVAN’s presence to over 300 cities, with more than 8 million registered drivers under its network.

Read More

Apply for this position

Apply with
We've received your resume. Click here to update it.
Attach resume as .pdf, .doc, .docx, .odt, .txt, or .rtf (limit 5MB) or Paste resume

Paste your resume here or Attach resume file