Remote-First Senior Data Scientist: Production ML & GenAI

QuintoAndar; United States; Remote; USD 44,000 - 67,000; Full time

Benefits offered by this job

Remote-first model

Meal allowance

Home office allowance

Health insurance

Dental plan

Life insurance

Childcare subsidy

Wellness program

Job summary

QuintoAndar seeks a senior Data Scientist embedded in product squads to design, build, and deploy production machine learning systems powering customer-facing features such as conversational assistants, search, and recommendations. You will help shape an internal ML platform that accelerates the broader team.

The role emphasizes production deployment, experimentation, governance, and mentorship within a fast-growing startup environment.

Qualifications

• 3+ years applying data science and building ML models in production.
• Strong knowledge of regression, classification, clustering, neural nets, feature selection, cross-validation, bias-variance, and explainability.
• Experience deploying ML at scale.
• Proficiency in Python with deep learning exposure.
• Experience mentoring other data scientists and providing technical guidance.
• Excellent written and verbal English communication.

Responsibilities

• Architect, develop, and ship ML systems to production, esp. chatbots and search.
• Design experiments and translate findings into model improvements or new features.
• Analyze diverse data to refine models or create new ones.
• Prototype LL-powered apps, including prompts, guardrails, and feasibility checks.
• Mentor peers and contribute to guilds, reviews, and demos.

Skills

ML production

Python

Leadership

Experiment design

Model explainability

English communication

Education

Master's degree in ML/DS

Tools

LoRA

QLoRA

PEFT

Job description

QuintoAndar seeks a senior Data Scientist embedded in product squads to design, build, and deploy production machine learning systems powering customer-facing features such as conversational assistants, search, and recommendations. You will help shape an internal ML platform that accelerates the broader team.

The role emphasizes production deployment, experimentation, governance, and mentorship within a fast-growing startup environment.