Mercor

Lead Data Scientist | Up to $100/hr

Mercor WorkFromHome

Stellenbeschreibung:

Join to apply for the Lead Data Scientist | Up to $100/hr role at Mercor

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This range is provided by Mercor. Your actual pay will be based on your skills and experience — talk with your recruiter to learn more.

Base pay range

$75.00/hr - $100.00/hr

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About The Job

Mercor connects elite creative and technical talent with leading AI research labs. Headquartered in San Francisco, our investors include Benchmark , General Catalyst , Peter Thiel , Adam D'Angelo , Larry Summers , and Jack Dorsey .

Position: Applied Data Scientist
Type: Contract
Compensation: $75–$100/hour
Location: Remote
Duration: ~6 weeks
Commitment: 30+ hours/week

Role Responsibilities

  • Translate business questions into data science problems and analytical workflows.
  • Conduct data wrangling, exploratory analysis, and hypothesis testing using Python and SQL.
  • Develop statistical models and predictive tools for decision support.
  • Create compelling data visualizations and dashboards with tools like Tableau and Power BI.
  • Present findings and recommendations to non-technical stakeholders.

Qualifications

  • 5+ years of applied data science or analytics experience in business settings.
  • Proficiency in Python or R (pandas, NumPy, Jupyter) and strong SQL skills.
  • Experience with data visualization tools (e.g., Tableau, Power BI).
  • Solid understanding of statistical modeling, experimentation, and A/B testingli>
  • Strong communication skills for translating technical work into strategic insights.

Compensation & Legal

  • Independent contractor
  • Paid weekly via Stripe Connect

Application Process (Takes 20–30 mins to complete)

  • Submit your resume
  • Domain expertise interview
  • Short form

Resources & Support

  • For details about the interview process and platform information, please check:
  • For any help or support, reach out to:

PS: Our team reviews applications daily. Please complete your AI interview and application steps to be considered for this opportunity.

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Stelleninformationen

  • Typ:

    Vollzeit
  • Arbeitsmodell:

    Vor Ort
  • Kategorie:

  • Erfahrung:

    2+ years
  • Arbeitsverhältnis:

    Angestellt
  • Veröffentlichungsdatum:

    29 Nov 2025
  • Standort:

    WorkFromHome

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