Senior Data Scientist Python/Java/Scala, AI, ML

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

Yêu cầu công việc

How you will get here?
A good candidate should possess:

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;
Willingness to understand a complex system and its various components;
Ability to work well in a fast- paced culture and ability to manage multiple projects and deadlines.
3+ years relevant work experience with large amounts of REAL data;
Experience with end- to- end modeling projects emerging from research efforts;
Excellent problem- solving and communication skills;
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);

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

Cập nhật gần nhất lúc: 2025-09-14 01:30:03