Lead Data Scientist

Compass
Austin, Boston, Dallas, Los Angeles, New York, Raleigh, San Francisco, Seattle
Workplace: OnsiteFull timeUSD 175,500 - 195,000 annuallyFunction: Data Science & Machine LearningExperience: 5+ yearsEducation: phdSkills: ["Mentorship","Communication","Collaboration","Strategic thinking","Clean code"]

Lead end-to-end development, validation, and deployment of large-scale predictive models and algorithms to drive strategic decisions and market trend analysis. Conduct rigorous data-driven research on ambiguous business problems, translate goals into analytical frameworks, and deliver high-impact insights. Communicate complex methodologies to C-level and technical audiences, mentor data scientists, and help shape long-term analytical strategy while partnering with stakeholders and engineering leaders.

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FursaFursa
Compass
Compass
3 days ago

Lead Data Scientist

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Last checked: 5 hours agoStatus: Live

Job Summary

Lead end-to-end development, validation, and deployment of large-scale predictive models and algorithms to drive strategic decisions and market trend analysis. Conduct rigorous data-driven research on ambiguous business problems, translate goals into analytical frameworks, and deliver high-impact insights. Communicate complex methodologies to C-level and technical audiences, mentor data scientists, and help shape long-term analytical strategy while partnering with stakeholders and engineering leaders.
Location: Austin, Boston, Dallas, Los Angeles, New York, Raleigh, San Francisco, Seattle
Workplace: Onsite
Employment Type: Full time
Job Function: Data Science & Machine Learning
Seniority: Mid level

Key Responsibilities

  • •Lead end-to-end development, validation, and deployment of large-scale predictive models and algorithms for strategic and market trend analysis.
  • •Design and execute rigorous research to analyze how multi-faceted factors impact business outcomes on highly ambiguous problems.
  • •Partner with senior stakeholders and engineers to identify opportunities, translate business goals into analytical frameworks, and deliver actionable insights.
  • •Synthesize and communicate complex methodologies, trade-offs, and findings to C-level executives and technical audiences.
  • •Mentor other data scientists by fostering continuous learning, rigorous peer review, and adherence to state-of-the-art methodologies.

Pay and Benefits

Salary: USD 175,500 - 195,000 annually
Equity and Bonus:Equity
Perks:Paid LeavePaid HolidaysSick TimeParental LeaveRecharge LeaveMedicalHealth InsuranceDentalVision401kFlexible SpendingCommuter BenefitsLife InsuranceDisability InsurancePet Insurance

Key Requirements

  • •Master’s degree or PhD in Computer Science, Statistics, Economics, Mathematics, or a related quantitative field.
  • •5+ years of data science experience delivering end-to-end data science projects.
  • •Deep expertise in areas such as time-series forecasting, deep learning, and causal inference.
  • •Strong Python and SQL skills for data manipulation, statistical analysis, and model development.
  • •Hands-on experience productionizing ML models and familiarity with MLOps concepts and workflows.
Experience:5+ years
Education:PhD / Doctorate
Skills:MentorshipCommunicationCollaborationStrategic thinkingClean code
Languages:English
Tech Stack:PythonSQLMachine learningStatistical modelingNLPTime-series forecastingDeep learningCausal inferenceMLOps

Company Brief

Compass
A technology-driven real estate brokerage that combines a consumer-facing platform with agent tools and marketplace services to help clients buy, sell, and rent residential properties across the United States.
Industry: PropTech
Company Size: Enterprise (1,001+ employees)
Revenue: USD 1B+
Growth: Public Company
Valuation: Public Company (Market Cap in USD)
Funding: IPO / Publicly Listed
Headquarters: New York, United States
Founded: 2012
WebsiteLinkedIn