Position: Data Scientist/ Machine Learning
Level: Middle- Senior
Working model: Fulltime
Location: CIC Tower, No.2 Nguyen Thi Due, Yen Hoa, Cau Giay, Ha Noi/ Open to hybrid and remote working models.
JOB DESCRIPTION:
We are particularly seeking a data scientist with experience in building customized recommendation models and a strong interest in product- focused machine learning development.
As a Data Scientist in this role, you will collaborate with a multidisciplinary team of engineers and analysts to tackle diverse challenges using quantitative techniques such as statistical analysis and machine learning. You will work with large, complex event- based datasets, conduct exploratory data analysis (EDA), define requirements, and develop & deploy models
Communicate efficiently with cross- functional teams, promote the implementation of strategic applications, and drive continuous optimization.
Design, deploy and maintain all components necessary for modeling, including feature engineering, automatic model training & tuning and engineering toolchains.
Leverage state- of- the- art algorithms to build fully customized recommenders and other growth models.
Understand stakeholder business requirements and design end- to- end machine learning/AI solutions that are effective, practical, and robust in addressing business challenges.
Create a comprehensive monitoring framework to evaluate model performance and provide actionable insights to drive business growth, focusing on awareness conversion and transactions.
Collaborate closely with data engineers and backend engineers to develop scalable systems.
JOB REQUIREMENTS:
Must have:
3+ years in at least one of the following areas: search, recommendation systems, ads, content understanding/moderation, or anti- fraud.
Familiarity with Big Data tools such as Ray, Hive SQL, Spark, or MapReduce.
Solid theoretical foundation in commonly used algorithms and strong statistical intuition.
Solid experiences in Python and related Data Analysis libraries (e.g., pandas, numpy, matplotlib, scikit- learn).
Excellent communication and collaboration skills; ability to explore new technologies with the team and drive technical innovation.
Strong understanding of the software development lifecycle and low- level code optimization.
Proficient in at least one Deep Learning framework (e.g., TensorFlow, PyTorch, Keras, Theano).
Highly curious, self- motivated, and eager to take on challenges and strive for excellence.
Nice to have:
Expertise in building LLM applications and working with foundational models (e.g., LLaMA, GPT) and frameworks like LangChain and Wei
Prior experience in large- scale recommendation systems or search engines.
Familiarity with deep learning- based recommendation models such as DLRM, BERT4Rec, and NCF.
Experience with API service development and deployment.
Experience working with GCP and containerization technologies.
COMPENSATION & BENEFITS:
🎯Flexible working regime and health care:
01 hour paid leave per day for women having children under 12 months
Social insurance, health insurance, unemployment insurance and Bao Viet care insurance
Minimum 14 paid leaves per annum for all employees after probation
A flexitime allowance of 90- 180 minutes per month for employees
01- day remote work per month
Flexible timekeeping (from 8:00- 9:00 to 17:30- 18:30)
🎯Transparent and fair benefits:
Men’s Day, Women’s Day, Children’s Day, Mid- Autumn Festival and other benefits under the provisions of the company
Work performance review 2 times/ year (in April and October)
Saturday & Sunday OFF, Overtime pay is 150%, 200%, 300% as per labor law;
Bonus Policy: 13th- month salary and Performance- based bonus
🎯Dynamic environment and open culture:
Nice & modern working space with young, dynamic & friendly colleagues and free coffee, tea, drinks,...
Flat, open and sharing culture with friendly management team; outsourcing company with product mindset
Monthly allowance when joining clubs: Soccer, Swimming, Yoga, Music,...
Socialize with colleagues through monthly Happy Hour
Year- end party, sports day, yearly company trip and quarterly team building,...with a generous budget
🎯Strong learning culture:
Participate in workshops, seminars, tech talk,... with sharing from experts inside and outside the company
Account to log in to our online learning system, which contains thousands of valuable lectures (LMS)
Working opportunities with technical gurus who built and operated world- class applications with millions of users.
Free training courses for technical and soft skills (presentation skills, communication skills, foreign language courses,...)
