Senior Applied Data Scientist

Job not on LinkedIn

🔥 5 minutes ago

🌐 Mexico, Brazil – Remote

🇲🇽 Mexico – Remote 🇧🇷 Brazil – Remote

⏰ Full Time

🟠 Senior

📊 Data Scientist

👻 Ghost score 10%

What it means: how likely this posting is sitting open without active hiring.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

Apply Now

Find Similar Remote Jobs

Set Up Email Alert For New Jobs

📊 Check your resume score for this job

Improve your chances of getting an interview by checking your resume score before you apply.

Upload Resume

Belvo

WebsiteLinkedInAll Job Openings

51 - 200 employees

💳 Fintech

🏦 Banking

🔌 API

Fintech • Banking • API

Belvo is a leading open finance platform in Latin America that enables businesses to connect to users’ financial accounts, aggregate financial data, and facilitate payments. The platform supports a wide range of industries, including banking, fintech, lending, e-commerce, and more, by providing tools to access, enrich, and analyze financial data. Belvo offers solutions for understanding and leveraging financial behavior, improving credit risk assessments, and enabling seamless account-to-account payments. Trusted by financial innovators, Belvo enhances decision-making and operational efficiency through comprehensive data aggregation and real-time insights. The company also prioritizes security and compliance in its operations.

📋 Description

• Lead the design of statistical and machine learning models for risk scoring, fraud detection, transaction categorization, and related problems • Use agentic coding and research tooling to explore data, generate and test feature hypotheses, scaffold pipelines, and write model services • Partner with Product and business teams to identify meaningful signals and define well-scoped modeling problems • Build or shape production pipelines, APIs, and services for models • Own live models, including monitoring, drift detection, retraining, and retirement • Design and run A/B tests and offline evaluations • Collaborate with Engineering, Data Research, Product, Intelligence Squad, and business stakeholders • Work directly with stakeholders and customers when needed • Explain technical trade-offs and business impact to non-technical audiences and executives • Stay current on GenAI model releases, papers, and tooling, sharing useful findings through demos, documentation, or AI Chapter sessions • Decide which problems are worth modeling and use rules, heuristics, or improved data pipelines when they are more appropriate • Participate in the hiring process through team-based interviews and assessments

🎯 Requirements

• 5+ years of experience as a Data Scientist, Applied Scientist, or in a similar hands-on modeling role • Experience owning models end to end in production, from problem framing to live monitoring, with measurable business impact • Solid grounding in statistics and ability to explain model workings at that level • Experience building and comparing multiple model types, such as tree-based methods, regression, and deep learning • Proficiency in Python for data science, including pandas, scikit-learn, and at least one of TensorFlow or PyTorch • Proficiency in SQL for pulling and shaping data • Experience taking several self-built models into production • Understanding of testing, version control, CI/CD, and maintainable code • Experience building LLM solutions beyond API calls, including tool use or agents, retrieval, structured outputs, and at least one production deployment • Experience creating evaluations for LLM systems • Daily use of agentic coding tools • Proficient written and spoken English • Fintech, financial risk, or regulated data environment experience is advantageous • Business or strategy background, such as an MBA, consulting, or product/strategy role, is advantageous • Customer-facing data science experience is advantageous • Experience with MLOps tooling is advantageous • Experience deploying models on AWS is advantageous • Experience writing evaluations or an LLM-as-judge harness is advantageous • Experience using LLMs in data pipelines is advantageous

🏖️ Benefits

• Stock options • Annual company bonus linked to company performance • Flexible working hours • Remote friendly • Pet friendly • Health Insurance • Paid time off on your birthday • Renew your laptop every 3 years • Training Budget • Team building events • Bank holidays swap within 30 days • Fitness/ wellness stipends • Yearly company offsite • Fresh fruit every week, all-you-can-drink tea and coffee • Extra days off accrued when completing 2, 3, 4 years and beyond at Belvo • Yearly department offsite