Retentics
Curated Listing
🌐 Curated external listing. Waegook is not the employer. Verify all details and apply through the original source.
Source: Seoul Foreign Portal
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0
Description
── Company Information ──
Company: Fridays Lab Inc
Address: 서울 강남구 테헤란로 151 (역삼동) 역삼 하이츠 빌딩
── Job Information ──
Position: Retentics
Category: Internet, IT, telecommunication, mobile, and games.
Employment type: Permanent employee
Experience: 3-5 years
Salary: Annual income, KRW
Area: Seoul Metropolitan Government.
Deadline: 2026-07-31
Job description:
Retentics& #39; Data Scientist plays a core role in our AI-based email marketing SaaS product — designing and refining predictive models and recommendation algorithms that turn repurchase behavior and LTV growth across diverse DTC brand clients into data-driven outcomes. You& #39;ll define business problems as data problems, and work closely with backend engineers to implement and optimize models so they run stably in a production environment.
[Key Responsibilities]
- Design and operate customer segmentation, targeting, and product/content recommendation algorithms to drive customer repurchase
- Develop and refine predictive models based on customer behavior data (repurchase timing, response probability, etc.)
- Collaborate with backend engineers to optimize ML model serving and training speed, and ensure operational stability
- Continuously improve model performance based on experimental results and connect findings to business impact
Requirements:
[We& #39;re looking for a Data Scientist to grow with Retentics]
- 3~ 5+ years of hands-on project experience in ML/DL modeling
- Experience in personalization recommendation and customer behavior prediction modeling
- Understanding of or work experience in the e-commerce and transaction data domain
- Proficiency in Python and SQL
- Understanding of ML/DL operating principles and mathematical foundations
- Experience leading end-to-end processes from problem definition to model deployment
- Ability to clearly communicate analytical results and model structures to non-technical stakeholders
[Preferred Qualifications - Nice to have:]
- Master& #39;s degree or higher in a Data Science-related field (Statistics, Mathematics, Computer Science, etc.)
- ML modeling experience in a B2C business environment
- Experience with large-scale data processing/analysis using Spark
- Ability to iterate quickly and improve models through rapid experimentation
- Degree obtained in an English-speaking country, or ability to work in English
[Data Scientist Tech Stack]
- Data processing/analysis libraries: NumPy, Pandas, Polars, Spark
- ML/DL libraries: Scikit-Learn, PyTorch, TensorFlow
- Cloud computing: AWS
Guidelines for applying:
[Hiring Process]
Document Review → 1st Interview (Skill Set) → 2nd Interview (Culture Fit) → Reference Check → Final Offer
How to apply: e-mail
Submission documents: Resume,Cover letter
── Contact Information ──
Contact: Lea Jang
Phone: 010-5328-6996
Email: [email protected]
Curated external listing. Waegook is not the employer. Verify all details and apply through the original source.
Source: Seoul Foreign Portal
Company: Fridays Lab Inc
Address: 서울 강남구 테헤란로 151 (역삼동) 역삼 하이츠 빌딩
── Job Information ──
Position: Retentics
Category: Internet, IT, telecommunication, mobile, and games.
Employment type: Permanent employee
Experience: 3-5 years
Salary: Annual income, KRW
Area: Seoul Metropolitan Government.
Deadline: 2026-07-31
Job description:
Retentics& #39; Data Scientist plays a core role in our AI-based email marketing SaaS product — designing and refining predictive models and recommendation algorithms that turn repurchase behavior and LTV growth across diverse DTC brand clients into data-driven outcomes. You& #39;ll define business problems as data problems, and work closely with backend engineers to implement and optimize models so they run stably in a production environment.
[Key Responsibilities]
- Design and operate customer segmentation, targeting, and product/content recommendation algorithms to drive customer repurchase
- Develop and refine predictive models based on customer behavior data (repurchase timing, response probability, etc.)
- Collaborate with backend engineers to optimize ML model serving and training speed, and ensure operational stability
- Continuously improve model performance based on experimental results and connect findings to business impact
Requirements:
[We& #39;re looking for a Data Scientist to grow with Retentics]
- 3~ 5+ years of hands-on project experience in ML/DL modeling
- Experience in personalization recommendation and customer behavior prediction modeling
- Understanding of or work experience in the e-commerce and transaction data domain
- Proficiency in Python and SQL
- Understanding of ML/DL operating principles and mathematical foundations
- Experience leading end-to-end processes from problem definition to model deployment
- Ability to clearly communicate analytical results and model structures to non-technical stakeholders
[Preferred Qualifications - Nice to have:]
- Master& #39;s degree or higher in a Data Science-related field (Statistics, Mathematics, Computer Science, etc.)
- ML modeling experience in a B2C business environment
- Experience with large-scale data processing/analysis using Spark
- Ability to iterate quickly and improve models through rapid experimentation
- Degree obtained in an English-speaking country, or ability to work in English
[Data Scientist Tech Stack]
- Data processing/analysis libraries: NumPy, Pandas, Polars, Spark
- ML/DL libraries: Scikit-Learn, PyTorch, TensorFlow
- Cloud computing: AWS
Guidelines for applying:
[Hiring Process]
Document Review → 1st Interview (Skill Set) → 2nd Interview (Culture Fit) → Reference Check → Final Offer
How to apply: e-mail
Submission documents: Resume,Cover letter
── Contact Information ──
Contact: Lea Jang
Phone: 010-5328-6996
Email: [email protected]
Curated external listing. Waegook is not the employer. Verify all details and apply through the original source.
Source: Seoul Foreign Portal
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