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Data Scientist - Job Opportunity at Allio Capital

Seattle, United States
Full-time
Senior
Posted: May 13, 2025
On-site
USD 150,000 - 200,000 per year based on Seattle market rates for senior data scientists in fintech, plus potential equity compensation

Benefits

Opportunity to work with cutting-edge AI technology in fintech
Professional development in advanced machine learning
Experience with proprietary trading algorithms
Work in an innovative startup environment

Key Responsibilities

Design and implement advanced machine learning models for financial markets
Build and maintain robust data pipelines using Snowflake
Develop time-series analysis solutions for market prediction
Optimize algorithmic trading strategies
Collaborate with engineering teams for production deployment
Research and implement new ML methodologies

Requirements

Education

Masters degree in Computer Science, Engineering, Mathematics, or a related field

Experience

Proven experience as a Machine Learning Engineer or in a similar role

Required Skills

Python programming TensorFlow PyTorch XGBoost LightGBM scikit-learn SQL NoSQL ETL processes Snowflake Apache Spark Hadoop Git Statistical modeling Data mining Data visualization Financial time-series analysis
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Sauge AI Market Intelligence

Industry Trends

The fintech sector is experiencing rapid growth in AI-driven investment solutions, with particular emphasis on macro-economic analysis and automated trading systems There's increasing demand for data scientists who can combine traditional ML expertise with financial market knowledge The intersection of AI and quantitative finance is becoming more sophisticated, requiring hybrid skillsets

Role Significance

Likely part of a specialized data science team of 5-10 members within a larger engineering organization
Senior individual contributor role with significant impact on core product development and strategic direction

Key Projects

Development of proprietary trading algorithms using AI Building scalable data pipelines for real-time market analysis Implementation of automated portfolio management systems

Success Factors

Deep understanding of both machine learning and financial markets Ability to translate complex mathematical concepts into practical trading strategies Strong software engineering practices for production-grade ML systems Effective collaboration with cross-functional teams

Market Demand

Very high demand, particularly in the fintech sector where AI/ML expertise combined with financial markets knowledge is increasingly crucial for competitive advantage

Important Skills

Critical Skills

Machine learning expertise with focus on time-series analysis Financial market knowledge and quantitative analysis skills Production-level software engineering capabilities Data pipeline development and optimization experience

Beneficial Skills

Cloud computing expertise Distributed systems knowledge Economics and policy analysis understanding Experience with high-frequency trading systems

Unique Aspects

Focus on macro-economic factors in AI-driven investing
Proprietary Altitude AI technology development
Strong emphasis on economic policy impact on markets
Combination of traditional finance with modern AI/ML approaches

Career Growth

2-3 years in role before advancement opportunity, dependent on company growth and individual impact

Potential Next Roles

Lead Data Scientist Machine Learning Architecture Lead Quantitative Research Head AI/ML Director

Company Overview

Allio Capital

Allio Capital is a fintech startup focusing on AI-driven macro-investing strategies with a unique focus on policy and economic factors

Early-stage company with innovative approach in the competitive robo-advisor market
Based in Seattle's growing fintech ecosystem with potential for significant market impact
Fast-paced startup environment with strong emphasis on innovation and technical excellence
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Job Listings Data

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  • 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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