Senior Data Scientist - Recommendation Systems Pod

9 hours, 49 minutes ago
Full-time
Senior
Data Science and Analytics
Salla E-Commerce Platform

Salla E-Commerce Platform

Salla E-Commerce Platform (salla.sa) offers smart and easy e-commerce solutions for merchants, enabling direct selling to customers with ease.

Internet Software & Services
251-1K
Founded 2016
$8M raised

Description

  • Design, train, and deploy recommendation and personalization models using deep learning, sequence models, and boosted trees.
  • Develop multi-objective ranking models that balance engagement, conversion, and merchant value.
  • Build scalable two-stage retrieval and ranking systems using ANN retrieval and learning-to-rank objectives.
  • Collaborate with infrastructure teams to productionize real-time feature pipelines.
  • Define serving-time impression and feature logging to reduce training-serving skew and improve training data quality.
  • Design and run online experiments with guardrail metrics, bias correction, and counterfactual evaluation methods.
  • Integrate model outputs with platform APIs for dynamic personalization across search, home feeds, and store pages.
  • Establish best practices for offline evaluation and online experimentation metrics.
  • Partner with product analytics and data science teams on signal enrichment and cold-start strategies.
  • Mentor junior data scientists and help define team best practices.

Requirements

  • Bachelor's or Master's degree in Computer Science, Machine Learning, or a related technical field.
  • 4+ years of hands-on machine learning experience, including 2+ years designing or deploying large-scale recommendation systems.
  • Experience building or maintaining systems serving 1M+ users or generating 100M+ personalized predictions daily.
  • Deep expertise in representation learning, embeddings, attention mechanisms, and multi-task learning.
  • Demonstrated success integrating multi-stage ranking systems across e-commerce surfaces with measurable online lift.
  • Proficiency with large-scale data ecosystems such as Kafka, Spark, ClickHouse, BigQuery, or equivalent.
  • Strong command of experimentation rigor, including guardrail metrics, position-bias correction, off-policy/counterfactual evaluation, and model monitoring.
  • Experience debugging, optimizing, and productionizing ML pipelines in cloud or containerized environments.

Interested in this position?

Apply directly on the company website

Apply Now

Similar Roles

Mixed Methods Disability Researcher

American Institutes for Research 1K-5K Professional Services

AIR is seeking a Mixed Methods Disability Researcher to support disability-focused research, evaluation, and knowledge dissemination for its Employment and Economic Opportunity program.

R
9 hours, 34 minutes ago

Senior Associate, Economic Capital Modeling

Puck 1-10 Internet Software & Services

Fortitude Re is seeking a Senior Associate, Economic Capital Modeling to support capital management, regulatory reporting, and economic capital analysis for its legacy reinsurance business.

C++ Python R
9 hours, 34 minutes ago

Senior/Lead Data Scientist -- NLP, Deep Learning, GenAI (10 Years)

Enable Data 11-50 IT Services

A senior data science role focused on developing and deploying NLP and Generative AI solutions, including LLM-based applications, for AI-driven product and business needs.

Azure BERT Deep Learning Generative AI GPT Hugging Face LLM Machine Learning MLOps NLP NLTK Python PyTorch spaCy TensorFlow
9 hours, 49 minutes ago

Data Scientist III

OpenX 51-250 Media

OpenX is hiring a Data Scientist III to own end-to-end machine learning work on large-scale digital advertising marketplace problems, from research and experimentation through production deployment and ongoing model maintenance.

Apache Airflow AWS Azure Feature Engineering GCP Go Java Kubeflow Machine Learning Python PyTorch Reinforcement Learning SQL Statistics TensorFlow Vertex AI
9 hours, 49 minutes ago

You're on a roll! Sign up now to keep applying.

Sign Up

Already have an account? Log in

Used by 14,729+ remote workers