Skip to main content
NEUN
Back to Careers

TRM Labs

Senior Data Scientist Analytics

North AmericaFull-timeGlobal

šŸ’° USD 160,000 - 186,000/yr

šŸ“Š MidšŸ  Remote

Job Description

[AI-summarized by JobStash]

You will own end-to-end development and delivery of critical analytics products. You will lead roadmap and prioritization, collaborate with engineers, data scientists, product and go-to-market teams, and work directly with customers to translate challenges into actionable analytics. You will develop complex statistical analyses, algorithms, and interactive visualizations to detect and prevent crypto-related fraud, design algorithms to analyze distributed ledger data and cryptographic protocols, communicate findings to technical and non-technical stakeholders, mentor colleagues, and establish statistical best practices. You will also support analytics on-call duties as required.

Requirements

  • ā—Degree in a quantitative field such as Computer Science, Statistics, Engineering, Economics or Physics
  • ā—Advanced degree preferred
  • ā—8+ years of experience in an analytical role
  • ā—Experience building internal scalable data and analytics products from design to deployment
  • ā—Proven experience with at least one programming language (Python preferred)
  • ā—Strong knowledge of relational databases and SQL
  • ā—Experience developing code in a team environment (git, notebooks, testing)
  • ā—Solid understanding of statistical distributions and analysis methods
  • ā—Excellent verbal and written communication skills
  • ā—High tolerance for ambiguity and ability to navigate uncertainty

Responsibilities

  • ā—Lead implementation of advanced analytics products
  • ā—Lead roadmap and prioritize analytics and AI products
  • ā—Collaborate with internal teams and customers to translate challenges into actionable products
  • ā—Develop complex statistical analyses, algorithms, and interactive visualizations
  • ā—Design algorithms to analyze distributed ledger data and cryptographic protocols
  • ā—Communicate findings effectively to technical and non-technical stakeholders
  • ā—Mentor colleagues and establish best practices and statistical rigor
  • ā—Own end-to-end development of scalable data and analytics products from design to deployment
  • ā—Participate in analytics on-call rotation

Benefits & Perks

  • ā—Remote work
  • ā—Eligibility to participate in TRM's equity plan

Tech Stack

distributed ledgerSQLPythoncryptographyDeFiAIdata visualizationGitalgorithmstatistics
Expired
Search