Senior Data Scientist (Brazil)

Brazilsenior

Data ScientistData

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Quick Summary

Key Responsibilities

Conduct exploratory analysis, driver analysis, statistical modeling, and machine learning to solve complex marketplace and pricing problems.

Technical Tools

Data ScientistData

What We Offer

~3 min read

✓Innovative Impact: Be part of the team that's revolutionizing group travel, setting new standards in an industry overdue for change.

✓Growth Opportunities: As a hyper growth company and one of the fastest-growing companies recognized by Inc., there’s no better time to join our dynamic, growth-stage organization.

✓Driven Team: Collaborate with some of the most driven minds in tech, all while working in a remote-first environment with a tech hub in Austin, TX.

✓Funding and Stability: Our $60 million Series A funding was just the start—we’re poised for even greater expansion, and you can be part of this exciting journey. CharterUp has achieved this growth profitability and efficiently, ensuring long-term stability.

✓Flexible Work Model: CharterUP operates as a remote-first company, with select roles requiring regular, in-office presence based on team and business needs. Role-specific expectations will be shared during the hiring process. U.S.-based employees may reside in any of our 19 approved states.

✓Comprehensive Health & Wellness: Medical, dental, and vision insurance, mental health support, virtual care, gym discounts, and family-building benefits. In the U.S., we cover 100% of premiums for employees. International benefits align with local standards.

✓Time Off to Recharge: Paid time off so you can truly unplug. U.S.: 15 PTO days (increasing to 20 after 2 years) + 8 paid holidays. International policies vary by country.

✓Financial Peace of Mind: Company-paid life, short-term, and long-term disability insurance where available.

✓Performance-Driven Culture: Join a fast-moving, ambitious, and collaborative team that wins together.

✓Referral Rewards: Earn bonuses for bringing top talent to the team.

✓Planning for the Future: Long-term financial planning support. U.S.: 401(k) plan. International: region-specific savings programs where applicable.

✓Top-Tier Tech: Choose a Mac or PC, plus monitor, keyboard, and mouse to hit the ground running.

About the Role

~1 min read

CharterUP is seeking a Senior Data Scientist to help build the analytical and modeling capabilities behind our marketplace and pricing systems. You’ll work closely with Product, Engineering, Pricing, and Availability teams to understand marketplace dynamics, develop rigorous analyses, and turn data into recommendations that improve pricing and business performance.

This is a hands-on role where you’ll have the opportunity to work across exploratory analysis, statistical modeling, experimentation, forecasting, and machine learning. You’ll help establish reliable data foundations and shared metrics while solving complex problems in a dynamic marketplace environment.

Responsibilities

~1 min read

→Hands-On Data Science: Conduct exploratory analysis, driver analysis, statistical modeling, and machine learning to solve complex marketplace and pricing problems.
→Pricing & Marketplace Analytics: Analyze pricing behavior, supply and demand dynamics, elasticity, conversion, and other marketplace signals to identify opportunities for improvement.
→Experimentation & Modeling: Support the design and analysis of experiments and develop predictive models, forecasts, and other analytical solutions that inform product and business decisions.
→Data Quality & Foundations: Partner with Data Engineering and other technical teams to improve data pipelines, datasets, definitions, and data quality for analytics and machine learning.
→Cross-Functional Partnership: Work closely with Product, Engineering, Pricing, Availability, and business stakeholders to translate ambiguous problems into clear analytical approaches and actionable recommendations.
→Data Storytelling: Communicate complex findings clearly to both technical and non-technical audiences, helping stakeholders understand the implications and tradeoffs behind your recommendations.
→Production ML: Contribute to the development, deployment, monitoring, and improvement of machine learning models as the team's data science capabilities mature.
→Best Practices: Help establish strong practices around statistical rigor, experimentation, reproducible analysis, and data science workflows.

Partner with the Staff Data Scientist on a rigorous first deep dive into pricing and marketplace economics.
Deliver structured, decision-ready analysis that directly informs the pricing roadmap.
Help identify and document data quality gaps encountered during analysis, in partnership with Engineering.
Contribute to shared metric definitions used consistently across Product, Finance, and Revenue.
Begin laying the groundwork for scalable forecasting and machine learning capabilities.

Data Science Experience: 4–7+ years of experience in data science, analytics, or a related quantitative field, with experience independently owning complex analytical projects.
Machine Learning & Statistical Expertise: Strong experience applying statistical modeling, machine learning, experimentation, forecasting, or optimization to solve business problems. Experience with pricing, marketplaces, supply and demand, or other dynamic systems is highly valued.
Technical Expertise: Advanced proficiency in SQL and Python or R, with experience working with large datasets and building reliable analytical datasets.
Analytical Problem Solving: Ability to break down ambiguous business problems, identify the right analytical approach, and turn complex data into practical recommendations.
Business Acumen: Ability to connect analytical findings to business outcomes and communicate the implications of your work to Product, Engineering, and business stakeholders.
Cross-Functional Collaboration: Strong communication and partnership skills, with the ability to work effectively with both technical and non-technical teams.
Production ML: Experience deploying and maintaining machine learning models in production is a plus.
AI/ML: Familiarity with modern AI/ML techniques, LLMs, or NLP is a plus.
Marketplace Experience: Experience in pricing, marketplaces, transportation, travel, e-commerce, logistics, or another environment with complex supply and demand dynamics is a plus.

Step 1 - Video call: Talent Acquisition interview
Step 2 - Video call: Hiring Manager interview
Step 3 - Video call: Team interviews (x3)
Step 4 - Video call: Case Study & Panel Presentation
Step 5 - Offer & reference check
Welcome aboard!