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Data Scientist (W2)

SpiceorbUnited States🇺🇸United StatesPosted Oct 15, 2026

Quick Overview

Seniority
Mid Senior
Work mode
Remote
Location
United States
Posted
22 hours ago

Job Description

Position: Data Scientist
Location: Remote

Job Summary

We are seeking a highly accomplished Senior Data Scientist with strong expertise in statistical modeling, advanced analytics, and data-driven problem-solving. The ideal candidate will have deep technical knowledge, excellent communication and presentation skills, and the ability to engage confidently with senior stakeholders.

Key Responsibilities

  • Develop and apply advanced statistical models to solve complex business problems.

  • Perform exploratory data analysis, hypothesis testing, predictive modeling, and statistical analysis.

  • Identify patterns, trends, and actionable insights from complex datasets.

  • Design, validate, and optimize analytical models to improve business decision-making.

  • Communicate technical findings and recommendations clearly to business leaders and stakeholders.

  • Present analytical results, methodologies, and business recommendations to diverse audiences.

  • Collaborate with cross-functional teams to identify business challenges and deliver data-driven solutions.

  • Ensure the accuracy, reliability, and effectiveness of statistical models and analytical outputs.

Required Qualifications

  • Extensive professional experience in data science, statistical modeling, and advanced analytics.

  • Strong understanding of statistical methods, predictive modeling, and quantitative analysis.

  • Proven ability to solve complex analytical problems and explain technical concepts clearly.

  • Exceptional communication, presentation, and stakeholder-management skills.

  • Strong executive presence, professionalism, and interpersonal skills.

  • Ability to work independently in a remote environment and collaborate effectively with distributed teams.

  • Willingness to travel occasionally to New York or Florida.

Preferred Qualifications

  • PhD in Data Science, Statistics, Applied Mathematics, Economics, Computer Science, or a related quantitative field.

  • Master s degree in a relevant discipline, with substantial hands-on data science experience.

  • Experience presenting complex analytical findings to senior leadership.

  • Background in aviation, transportation, logistics, or other data-intensive industries is a plus.

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