Senior Real-Time ML Scientist (Remote)

Lever, Inc.; México; Remote; MXN 2,764,000 - 3,727,000; Full time

Benefits offered by this job

Fully remote

Competitive compensation

Work on challenging ML problems

Global collaboration

Visa sponsorship not provided

Job summary

Lever, Inc. is seeking a Senior Data Scientist for a fully remote role based in Mexico. You will own end-to-end data science projects, building real-time inference services and integrating models with production systems.

You will work with noisy, unlabeled data to advance browser and device identification, leveraging supervised, semi-supervised, and unsupervised approaches and collaborating with engineering teams globally.

Qualifications

• 5+ years of professional experience spanning machine learning, data science, and backend development or closely related engineering disciplines.
• Advanced knowledge of ML fundamentals and statistical methodologies.
• Strong practical experience with supervised learning including gradient boosting and high-cardinality categorical data.
• Hands-on experience with semi-supervised and unsupervised learning techniques.
• Excellent coding and software engineering skills including SQL, Git, CI/CD, IDEs and shell scripting.

Responsibilities

• 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 ML approaches, including methods for high-cardinality categorical data.
• Own DS 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.
• Collaborate to turn ML concepts into production-ready services across data science and engineering teams.
• Participate in a shared on-call rotation with advance scheduling to minimize disruption.

Skills

Machine learning

Real-time systems

Python

SQL

Go

Data analysis

Experimentation

Education

MS/PhD in CS/ML

Tools

ClickHouse

Snowflake

BigQuery

dbt

Superset

Pinecone/FAISS/Qdrant

Job description

Lever, Inc. is seeking a Senior Data Scientist for a fully remote role based in Mexico. You will own end-to-end data science projects, building real-time inference services and integrating models with production systems.

You will work with noisy, unlabeled data to advance browser and device identification, leveraging supervised, semi-supervised, and unsupervised approaches and collaborating with engineering teams globally.