Senior Data Scientist - Real-Time ML for High-Volume Apps (Remote)

Lever, Inc.; United Arab Emirates; Remote; AED 558.000 - 753.000; Vollzeit

Benefits dieser Stelle

Fully remote work

Competitive compensation

Global team

Challenging ML problems

Visa not sponsored

Zusammenfassung

Lever, Inc. is seeking a Senior Data Scientist based in the United Arab Emirates for a fully remote, high-impact role on a real-time identification platform.

You will work with noisy, unlabeled data to improve browser and device identification, leading projects from initial research through deployment. You will design experiments and ML methods (supervised, semi-supervised, unsupervised), deploy real-time services, and collaborate with data science and engineering teams to operationalize models

Qualifikationen

• 5+ years professional experience spanning machine learning, data science, and backend development or closely related engineering disciplines.

Aufgaben

• Develop data-driven algorithms using raw, noisy, and unlabeled data to improve browser and device identification capabilities.
• Design experiments and implement supervised, semi-supervised, and unsupervised ML approaches, including methods for high-cardinality categorical data.
• Own data science initiatives end to end, from problem definition and experimentation through production deployment and integration with real-time services.
• Design experiments and technical solutions for real-time inference, model-to-service integration, training automation, and other ML engineering challenges.
• Conduct exploratory data analysis to investigate business and technical questions, identify anomalies, and evaluate model and dataset performance.
• Develop practical approaches for collecting and evaluating data when labeled datasets are limited or unavailable.
• Contribute to an engineering-focused, data-driven culture by sharing tools, methodologies, and effective data science practices with colleagues.
• Collaborate across data science and engineering functions to turn ML concepts into reliable, production-ready services.
• Participate in a shared on-call rotation, with schedules communicated in advance and coverage designed to minimize disruption outside normal working hours.

Kenntnisse

ML fundamentals

Supervised learning

Gradient boosting

High-cardinality data

Semi-supervised learning

Unsupervised learning

Real-time ML services

SQL

Git

CI/CD

Backend development

Go

Communication in English

Tools

ClickHouse

Snowflake

BigQuery

dbt

Superset

Tableau

Looker

Pinecone

FAISS

Qdrant

AWS

Jobbeschreibung

Lever, Inc. is seeking a Senior Data Scientist based in the United Arab Emirates for a fully remote, high-impact role on a real-time identification platform.

You will work with noisy, unlabeled data to improve browser and device identification, leading projects from initial research through deployment. You will design experiments and ML methods (supervised, semi-supervised, unsupervised), deploy real-time services, and collaborate with data science and engineering teams to operationalize models