Fully Remote Senior Data Scientist — Real-Time ML

Lever, Inc.; Österreich; Remote; EUR 107.000 - 182.000; Vollzeit

Benefits dieser Stelle

Fully remote

Global collaboration

Competitive compensation

On-call rotation

Zusammenfassung

Lever, Inc. in Austria is seeking a Senior Data Scientist to advance a high-volume, real-time identification platform.

You will work hands-on with noisy, often unlabeled data to build machine learning methods that distinguish browsers and devices with greater precision. Lead end-to-end data science projects from research through production deployment, collaborating with backend engineers to integrate models into real-time services.

Qualifikationen

• 5+ years of professional experience spanning machine learning, data science, and backend development or closely related engineering disciplines.
• Advanced knowledge of machine learning fundamentals and statistical methodologies.
• Strong practical experience with supervised learning, including gradient boosting and approaches for high-cardinality categorical data.
• Hands-on experience with semi-supervised and unsupervised learning techniques.
• Strong exploratory data analysis and creative problem-solving skills, particularly when working with incomplete, noisy, or unlabeled datasets.
• Proven experience developing real-time machine learning services, including model inference and integration between models and production applications.
• Ability to transform machine learning models into minimum viable real-time web services and production-ready solutions.
• Excellent coding and software engineering skills, including strong SQL capabilities and familiarity with Git, CI/CD pipelines, IDEs, and shell scripting.
• Strong communication skills and fluent English, with the ability to collaborate effectively in a distributed international environment.

Aufgaben

• Develop data-driven algorithms using raw, noisy, and unlabeled data to improve browser and device identification capabilities.
• Design and implement supervised, semi-supervised, and unsupervised machine learning 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 machine learning 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 machine learning 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

Machine learning

Data science

Backend development

SQL

Git

CI/CD

Shell scripting

Go

English fluency

Problem solving

Tools

ClickHouse

Snowflake

BigQuery

dbt

Superset

Tableau

Looker

Pinecone

FAISS

Qdrant

AWS

Jobbeschreibung

Lever, Inc. in Austria is seeking a Senior Data Scientist to advance a high-volume, real-time identification platform.

You will work hands-on with noisy, often unlabeled data to build machine learning methods that distinguish browsers and devices with greater precision. Lead end-to-end data science projects from research through production deployment, collaborating with backend engineers to integrate models into real-time services.