Position Details
About this role
This role focuses on developing and maintaining search and recommender systems, analyzing behavioral data, and deploying ML models to improve customer experience.
Key Responsibilities
- Develop ML models
- Optimize search/recommendation algorithms
- Conduct statistical tests
- Collaborate with ML engineers
- Deploy models into production
Technical Overview
The technical environment includes Python, SQL, deep learning frameworks, and statistical testing methods, with a focus on search algorithms and recommender system deployment.
Ideal Candidate
The ideal candidate is a mid-level data scientist with 3+ years of experience in search and recommender systems, proficient in Python and SQL, with a strong understanding of ML models, deep learning, and statistical testing.
Must-Have Skills
Nice-to-Have Skills
Tools & Platforms
Required Skills
Hard Skills
Soft Skills
Industry & Role
Keywords for Your Resume
Deal Breakers
Lack of experience with search or recommender systems, No proficiency in Python or SQL, Less than 3 years of relevant experience, No experience with ML deployment or lifecycle
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