Job Title: Back End Developer and Data Insights Specialist
About the Role
We are seeking a skilled professional with expertise in building recommendation systems to join our team. As a Back End Developer and Data Insights Specialist, you will play a critical role in designing and optimizing personalized experiences for millions of users by transforming raw data into insights and automated systems.
This position requires strong experience in data science, ideally in e-commerce or consumer-tech. Proficiency in Python and machine learning libraries is essential, as well as experience with data analysis tools such as SQL, Pandas, and Jupyter.
Key Responsibilities:
* Design, build, and deploy scalable recommendation engines using collaborative filtering, content-based methods, or hybrid approaches.
* Develop user profiling models using clickstream and behavioral data.
* Leverage AI-driven product tagging to enhance metadata quality and retrieval.
* Analyze macro and micro fashion trends to influence product rankings.
* Extract insights from large-scale user data and convert them into actionable models.
* Work closely with engineers and product managers to integrate models into production.
* Develop and monitor metrics for model performance and user engagement impact.
Required Skills and Qualifications:
* 2+ years of experience in data science, ideally in e-commerce or consumer-tech.
* Hands-on experience building and deploying recommendation systems.
* Proficiency in Python and machine learning libraries.
* Experience with data analysis tools such as SQL, Pandas, and Jupyter.
* Strong grasp of personalization techniques and user segmentation strategies.
* Solid understanding of product ranking using behavioral data and trend signals.
* Experience working with large-scale data pipelines and A/B testing frameworks.
* Strong communication and problem-solving skills.
Preferred Qualifications:
* Experience in the fashion or lifestyle e-commerce domain.
* Knowledge of modern MLops workflows and model monitoring tools.
* Familiarity with cloud platforms and tools like Airflow or DBT.
* Background in NLP or computer vision for fashion tagging is a plus.
About You
You have 2+ years of experience in data science, preferably in e-commerce or consumer-tech. Your proficiency in Python and machine learning libraries is a must, along with your hands-on experience in building and deploying recommendation systems. You possess a solid understanding of data analysis tools and can work effectively with large-scale data pipelines.
We offer a dynamic and challenging work environment where you can grow professionally and personally. Our team values collaboration and open communication, so if you're looking for a place to make a meaningful contribution, we'd love to hear from you!
Contact Information