AI & Data Science Fellowship - Job Opportunity at Exitfund

San Jose, USA
Full-time
Entry-level
Posted: April 11, 2025
Hybrid
USD 200,000 per year

Benefits

Flexible work hours
Mentorship from industry professionals
Project portfolio development
Direct pipeline to full-time opportunities
Professional networking opportunities

Key Responsibilities

Lead data analysis initiatives for product and operational optimization
Develop and implement AI/ML models supporting core business functions
Design and execute experimental frameworks for feature validation
Create data visualization solutions for stakeholder communication
Manage end-to-end data science project lifecycles

Requirements

Education

Bachelor's (Required)

Required Skills

Strong foundation in mathematics Statistics expertise Computer science knowledge Data analysis capabilities Machine learning proficiency Communication skills

Certifications

Acceptance into University of Bay Area's Master's in Applied Data Science program
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Sauge AI Market Intelligence

Industry Trends

The fintech sector is experiencing rapid AI integration, with particular emphasis on automated investment processes and risk assessment. Fellowship programs are becoming increasingly prevalent as companies seek to secure top AI talent early in their careers. The combination of academic pursuit with practical industry experience reflects a growing trend in tech education.

Salary Evaluation

The offered salary of up to $200,000 is notably high for a fellowship position, indicating strong market competition for AI talent and positioning at the upper end of the entry-level data science compensation range in the San Jose market.

Role Significance

Likely part of a small but growing data science team, typical of fintech startups, with direct access to senior mentors and leadership.
Entry-level position with significant growth potential, structured as a bridge between academic learning and professional practice.

Key Projects

AI-driven investment matching algorithms Automated risk assessment systems Data pipeline optimization Investor behavior analysis platforms Performance metrics and analytics dashboards

Success Factors

Strong alignment between academic coursework and practical applications Ability to translate theoretical knowledge into business solutions Effective communication skills for cross-functional collaboration Self-directed learning and initiative in project ownership Balance between technical expertise and business acumen

Market Demand

Extremely high demand, particularly in the fintech sector where AI expertise intersects with investment technology. The role's focus on both theoretical knowledge and practical application makes it especially valuable in the current market.

Important Skills

Critical Skills

AI/ML model development expertise - essential for core product functionality Data analysis and interpretation skills - crucial for investment insights Python programming and data pipeline development - fundamental to platform infrastructure Communication skills - vital for translating technical insights to business stakeholders

Beneficial Skills

Knowledge of financial markets and startup ecosystems Experience with cloud computing platforms Understanding of API development Familiarity with agile development methodologies

Unique Aspects

Direct integration with master's program curriculum
Immediate exposure to real startup funding processes
Flexible scheduling to accommodate academic commitments
Clear pathway from fellowship to potential full-time employment

Career Growth

Fellowship duration of 6-12 months with potential for immediate full-time conversion; typical progression to senior roles within 2-3 years post-fellowship.

Potential Next Roles

Senior Data Scientist AI Research Engineer Machine Learning Team Lead AI Product Manager Technical Project Manager

Company Overview

Exitfund

Exitfund represents an innovative player in the fintech space, focusing on democratizing access to startup funding through AI-driven solutions.

Early-stage fintech startup with demonstrated success in facilitating significant investment deals, positioning itself as a technology-first platform in the startup funding ecosystem.
Based in Silicon Valley's tech hub, offering strong exposure to the startup and venture capital ecosystem.
Fast-paced, innovation-driven environment with emphasis on learning and direct impact, characteristic of early-stage fintech startups.
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