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Data Scientist - Job Opportunity at HELMUT SCHROEDER PTE. LTD.

Singapore, Singapore
Full-time
Mid-level
Posted: January 17, 2025
Hybrid
SGD 108,000 - 180,000 per year

Benefits

Professional development programs with dedicated learning budget
Remote work flexibility with hybrid arrangement
Career advancement opportunities in IP tech sector

Key Responsibilities

Lead development of IP asset valuation models using advanced analytics
Design and implement predictive ML models for IP market trends
Integrate multi-source data streams from entertainment and media platforms
Collaborate with investment and legal teams on analytics solutions
Create executive-level visualization dashboards
Drive strategic portfolio decisions through market analysis

Requirements

Education

Bachelor's degree in Data Science, Computer Science, Statistics, or related field. Master's/PhD preferred

Experience

2+ years of experience in data science

Required Skills

Python DynamoDB/SQL TensorFlow PyTorch Scikit-learn Statistical modeling Hadoop Spark BigQuery Snowflake Problem-solving abilities Communication skills
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Sauge AI Market Intelligence

Industry Trends

IP management is increasingly leveraging AI and ML for valuation, creating high demand for data scientists with domain expertise The convergence of entertainment, technology, and finance in IP markets requires sophisticated data analysis capabilities Singapore's position as an IP hub in Asia is driving growth in specialized data science roles

Salary Evaluation

The offered salary range is competitive for Singapore's data science market, particularly given the specialized IP focus. Top performers could command 15-20% higher

Role Significance

Likely part of a specialized analytics team of 4-6 professionals, working closely with legal and investment teams
Mid to senior-level position with significant impact on strategic decision-making through data-driven insights

Key Projects

Development of automated IP valuation systems Creation of predictive models for content performance Design of portfolio optimization algorithms Implementation of real-time market monitoring systems

Success Factors

Deep understanding of both technical data science and IP/entertainment industry dynamics Ability to translate complex analytical insights into actionable business recommendations Strong collaboration skills with legal and financial stakeholders Innovative approach to combining traditional valuation methods with modern data science

Market Demand

Very high demand with limited talent pool due to specialized domain knowledge requirements in both data science and IP management

Important Skills

Critical Skills

Advanced Python skills for custom modeling solutions Deep learning expertise for content analysis Statistical modeling for valuation predictions Business communication for stakeholder management

Beneficial Skills

Knowledge of IP law and licensing Experience with media analytics Understanding of content monetization models Familiarity with blockchain for IP tracking

Unique Aspects

Rare opportunity to apply data science in IP valuation
Intersection of entertainment, finance, and technology domains
Direct impact on creative industry monetization
Exposure to cutting-edge IP management strategies

Career Growth

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

Potential Next Roles

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

Company Overview

HELMUT SCHROEDER PTE. LTD.

Pioneering IP management firm combining traditional asset management with modern data science approaches

Emerging player in the modernization of IP asset management in Asia
Singapore-based with likely regional influence across APAC IP markets
Innovation-focused environment combining financial sector rigor with tech industry flexibility
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