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Data Scientist - Job Opportunity at Collectivus Holdings, LLC (Beckett)

Remote, US
Full-time
Mid-level
Posted: May 9, 2025
Remote
USD 120,000 - 160,000 per year based on remote position and specialized industry knowledge requirements

Benefits

Remote work flexibility enhancing work-life balance
Opportunity to work with established brands in collectibles industry
Cross-functional collaboration environment supporting professional growth

Key Responsibilities

Lead data-driven optimization of grading processes and operational workflows with direct impact on business efficiency
Develop and implement predictive models for grading accuracy enhancement, directly influencing product quality and customer trust
Drive market intelligence through advanced analytics of customer behavior and industry trends
Create and maintain critical business intelligence dashboards for executive decision support
Spearhead cross-functional data initiatives and training programs

Requirements

Education

Bachelor's or Master's degree in Data Science, Statistics, Computer Science, or related field

Experience

Proven experience as a Data Scientist or similar role

Required Skills

Python R SQL Power BI Tableau Machine learning Predictive modeling Data analysis Problem-solving Communication Interpersonal skills Project management
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Sauge AI Market Intelligence

Industry Trends

The collectibles industry is experiencing rapid digitalization, with increasing demand for data-driven authentication and grading processes Integration of machine learning in collectibles valuation represents a growing trend in market standardization Rising importance of predictive analytics in inventory management and market forecasting for collectibles

Role Significance

Likely part of a specialized data science team of 3-5 members within a larger technology department
Mid to senior-level position with significant impact on core business operations and strategic decision-making

Key Projects

Implementation of machine learning models for grading automation Development of market prediction systems for collectibles valuation Creation of customer behavior analysis frameworks Process optimization initiatives for operational efficiency

Success Factors

Deep understanding of machine learning applications in quality assessment and grading systems Ability to translate complex data insights into actionable business recommendations Strong collaboration skills for cross-functional project success Balance of technical expertise with business acumen

Market Demand

High demand with growing emphasis on data science in collectibles authentication and market analysis

Important Skills

Critical Skills

Machine learning expertise for developing automated grading systems Statistical analysis skills for market trend prediction Data visualization capabilities for stakeholder communication Python/R programming for custom analytics solutions

Beneficial Skills

Knowledge of collectibles market dynamics Experience with image processing and computer vision Understanding of authentication processes Blockchain and NFT technology awareness

Unique Aspects

Rare opportunity to apply data science in the specialized collectibles industry
Position combines traditional data science with unique domain expertise in collectibles
Role offers significant influence on industry standards and practices

Career Growth

2-3 years in role before advancement opportunity, depending on project success and business impact

Potential Next Roles

Lead Data Scientist Director of Analytics Head of Data Strategy Chief Data Officer

Company Overview

Collectivus Holdings, LLC (Beckett)

Collectivus Holdings represents a significant consolidation in the collectibles industry, bringing together major brands including Beckett, Dragon Shield, Southern Hobby, and Merchant Guild

Market leader in collectibles grading and authentication with strong brand recognition and established industry presence
National operation with remote work capabilities, indicating modern operational approach
Technology-forward environment with emphasis on data-driven decision making and cross-functional collaboration
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Job Listings Data

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  • Industry trends and market dynamics
  • Salary estimates and market demand analysis
  • Role significance and career growth potential
  • Critical success factors and key skills
  • Unique aspects of each position

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