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Protocol Intelligence
Data-driven signals on your job's competitivenessRemote, mid-level generalist data science role with metro hubs increases candidate competition.
Core statistical and R skills are transferable, but R specialization and banking preference add moderate domain bias.
Requires Master's/PhD, 5+ years experience and expert-level R, making filters stringent.
Job Description
Structured overview of role & requirementsAbout This Role
Own and enhance core analytical statistical models and algorithms written in R, including reverse engineering and modernization.
Design, build, and deploy new predictive models and analytical features to address complex business challenges.
Lead code quality improvements, ensure production readiness, and collaborate with Data Engineering to deploy models and translate insights for stakeholders.
Minimum Requirements
Master's or Ph.D. in Statistics, Applied Mathematics, Computer Science, Data Science, or related quantitative field.
5+ years professional experience in data science, statistical modeling, or quantitative research.
Expert proficiency in R programming, including tidyverse and advanced statistical/modeling packages.
Deep practical knowledge of applied statistics techniques such as hypothesis testing, regression, time-series, mixed-effects, or Bayesian methods.
Ideal Candidate Profile
Experienced in auditing and optimizing complex R codebases with measurable algorithmic improvements.
Capable of mentoring junior data scientists and driving technical excellence within the team.
Able to communicate complex statistical concepts effectively to both technical and executive audiences.