Senior Applied Data Scientist

This is a fully remote position, open to applicants in Mexico, +1 more country.

📋 Description

• Take charge of designing statistical and machine learning models focused on risk scoring, fraud detection, transaction categorization, and similar challenges.

• Utilize agentic coding and research tools to investigate data, formulate and evaluate feature hypotheses, construct pipelines, and develop model services.

• Collaborate with Product and business teams to pinpoint significant signals and establish well-defined modeling challenges.

• Develop or refine production pipelines, APIs, and services for models.

• Manage live models, which includes monitoring, detecting drift, retraining, and eventual retirement.

• Create and conduct A/B tests and offline assessments.

• Work in partnership with Engineering, Data Research, Product, Intelligence Squad, and business stakeholders.

• Engage directly with stakeholders and customers when necessary.

• Communicate technical trade-offs and business implications to non-technical audiences and executives.

• Keep abreast of GenAI model releases, research papers, and tools, sharing valuable insights through demonstrations, documentation, or AI Chapter sessions.

• Evaluate which problems merit modeling and apply rules, heuristics, or enhanced data pipelines when more suitable.

• Contribute to the recruitment process through collaborative interviews and evaluations.

⛳️ Requirements

• Over 5 years of experience as a Data Scientist, Applied Scientist, or in a comparable hands-on modeling position.

• Proven experience in owning models from inception to production, including live monitoring with measurable business outcomes.

• Strong foundation in statistics with the ability to articulate model functionality at that level.

• Experience in building and evaluating various model types, such as tree-based methods, regression, and deep learning.

• Proficient in Python for data science, including libraries like pandas, scikit-learn, and at least one of TensorFlow or PyTorch.

• Proficient in SQL for data extraction and manipulation.

• Demonstrated experience in bringing multiple self-developed models into production.

• Knowledge of testing, version control, CI/CD, and writing maintainable code.

• Experience in developing LLM solutions that extend beyond simple API calls, including tool usage or agents, retrieval, structured outputs, and at least one production deployment.

• Familiarity with creating evaluations for LLM systems.

• Regular use of agentic coding tools.

• Proficient in written and spoken English.

• Experience in fintech, financial risk, or regulated data environments is a plus.

• A background in business or strategy, such as an MBA, consulting, or roles in product/strategy, is advantageous.

• Experience in customer-facing data science roles is beneficial.

• Familiarity with MLOps tools is a plus.

• Experience deploying models on AWS is beneficial.

• Experience writing evaluations or an LLM-as-judge harness is advantageous.

• Experience utilizing LLMs in data pipelines is a plus.

🏝️ Benefits

• Stock options

• Annual company bonus tied to company performance

• Flexible working hours

• Remote-friendly environment

• Pet-friendly workplace

• Health Insurance

• Paid time off on your birthday

• Laptop renewal every 3 years

• Training budget

• Team building events

• Bank holiday swaps within 30 days

• Wellness/fitness stipends

• Annual company offsite

• Fresh fruit weekly, along with unlimited tea and coffee

• Additional days off accrued upon completing 2, 3, 4 years and beyond at Belvo

• Annual department offsite