Senior Data Scientist

GHN is a major player in the rapidly growing ecommerce delivery sector, with an expected YoY growth rate of over 30%. Its competitive advantages are primarily based on technology and a team of 300 proficient middle managers who excel in operations and use technology and data to optimize their work overtime.

Leveraging technology, GHN has developed a solution to provide fast delivery services for ecommerce customers at a competitive price. With an expected 15x growth in the ecommerce market in Vietnam over the next 10 years, GHN aims to build more products and systems to become a leading player in the market and create value for its customers.

Data & Risk team at GHN gather highly motivated team players who dedicate in building GHN as the fastest, most reliable & convenient delivery service in Vietnam market. By developing and adopting cutting-edge technologies, advanced data-driven decision & solutions, we aim to make data capability as a core and drive our business operations efficiency & scalability, customer trust & happiness.

How will you make an impact

We are looking for a savvy, motivated, team-oriented SeniorData Scientist to join our Data Science team. The team is responsible for bringing insights from data to enhance UX & biz performance (e.g., demand forcasting, logistics network optimization, route & schedule optimization), assess and manage multiple financial fraud risk exposures (e.g., promotion abuse, fake identify, account creation fraud), as well as developing and maintaining controls, strategies, AI/ML solutions, and experiences related to the end-to-end management of these problems.

The hire will be responsible for the full life-cycle of data product (i.e., from problem identification, to data product design & development, deployment, monitoring & optimization in production) of our Data Solutions & Analytics. Day-to-day duties include data analysis, monitoring and forecasting, creating the logic for and implementing rules and strategies; and communicating with stakeholders to ensure we deliver the best possible customer experience & biz performance while meeting loss rate targets.

What will you do

The ideal candidate is an experienced solution builder who enjoys optimizing complicated problems or building them from the ground up. The data science team will work closely with our biz/product owners, data engineers, software engineers on new mechanism/solution initiatives and will ensure optimal data/model/system architecture is consistent throughout ongoing projects. The candidate must be self-directed and comfortable supporting needs of multiple teams, systems and products.

• Focus on bringing statistical depth, analytical insights, and accurate interpretation of data;
• Extract, analyze and apply data-mining/AI/ML techniques to large structured and unstructured datasets;
• Own, design, develop and test large-scale data science pipeline and algorithms that are built for speed, scale and usability;
• Conduct end-to-end data processing, troubleshooting and problem diagnosis in the whole life cycle of AI/ML development and operation;
• Research and investigate academic and industrial AI/ML techniques for product improvements;
• Stay current on published state-of-the-art algorithms and competing technologies;
• Analyze and improve existing data sources, models, strategies and metrics;
• Design and analyze experiments to pilot, test and apply new features & solutions;
• Report, visualize and communicate results & impacts;
• Collaborate with other engineers and team members to evaluate and improve the core components of autonomous systems;
• Identify any product/functionality/technical gaps required to deliver a solution and collaborate with internal teams to define the necessary enhancements to support delivery;
• Evaluate and recommend tools, technologies and processes to ensure the highest quality solutions;
• Foster a culture of ownership, accountability, testing, and measurement; as well as continuous improvement through mentoring, feedback, and metrics.

How you will get here

A good candidate should possess:

• 3+ years relevant work experience with large amounts of REAL data;
• BSc in machine learning, statistics, math, data science, computer science or other closely related areas (MSc/PhD is a big plus);
• Strong machine learning/statistics background with hands-on experience in academia and/or industry, sourcing, cleaning, manipulating and analyzing large volumes of data;
• Experience with end-to-end modeling projects emerging from research efforts;
• Willingness to understand a complex system and its various components;
• Great scripting and programming skills (fluent in Python/Java/Scala);
• Experience with open-source machine learning libraries (e.g., Scikit-learn, CatBoost/XGBoost), distributed/parallel big data processing architecture (e.g., Hadoop, Spark, MLlib) and deep learning framework (e.g., TensorFlow, Pytorch);
• Excellent problem-solving and communication skills;
• Ability to work well in a fast-paced culture and ability to manage multiple projects and deadlines.

Benefits:

• 13th-month salary and Performance bonus
• Health, Social and Unemployment Insurance
• Generali Insurance
• Annual health checkup
• Annual team building/company trip
• Internal and external training opportunities