Torchlight™

Data Scientist

Torchlight™

full-time

Posted on:

Location Type: Remote

Location: United States

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Tech Stack

About the role

  • Develop and productionize statistical machine learning models for probabilistic country attribution based on browsing patterns and behavioral signals
  • Design and refine predictive models and statistical algorithms to improve accuracy and reliability of behavioral calculations
  • Work with petabyte-scale datasets to extract, clean, and analyze large volumes of behavioral data
  • Build scalable data pipelines and modeling workflows using Python and SQL
  • Collaborate with engineering and product teams to integrate models into production services
  • Create clear visualizations and reports to communicate model performance and insights
  • Own end-to-end algorithm development and model lifecycle management
  • Mentor junior team members as the role evolves into Data Scientist Lead

Requirements

  • 4–6 years of hands-on experience in statistical machine learning and predictive modeling
  • Strong statistical background with experience in probabilistic modeling
  • Proficiency in Python and SQL for data analysis and modeling
  • Experience working with big data at scale (experience with petabyte-scale datasets is a plus)
  • Bachelor’s degree in Statistics, Mathematics, Computer Science, or another STEM field (required)
  • Demonstrated experience in algorithm development and productionizing ML models
  • Self-starter with high ownership and ability to drive projects independently
Benefits
  • Health insurance
  • Retirement plans
  • Paid time off
  • Flexible work arrangements
  • Professional development
Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills & Tools
statistical machine learningpredictive modelingprobabilistic modelingdata analysisalgorithm developmentmodel lifecycle managementdata cleaningdata extractiondata pipelinesmodeling workflows
Soft Skills
self-starterhigh ownershipproject managementmentoringcollaboration