GHN

Tóm tắt công việc

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.

• 13th-month salary, performance bonuses, and KPI bonuses
• Health insurance, Social insurance, and Unemployment insurance
• Medical insurance
• Annual health checkup
• Annual salary reviews
• Annual team building/company trip
• Ongoing internal and external training opportunities.

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.