Data Scientist

Position Overview

We are seeking an experienced Data Scientist to join the core engineering team of a leading accelerator specializing in blockchain, cryptocurrency, and artificial intelligence. Based onsite in New York City, this full-time role reports directly to the Chief Technology Officer and involves taking complete responsibility for developing, implementing, and maintaining data-driven products and solutions. The ideal candidate thrives in a fast-paced, dynamic environment and works with minimal supervision.

Key Responsibilities

• Independently translate complex and ambiguous business questions into thorough analyses, predictive models, and internal tools, culminating in reliable production-ready systems.
• Design, develop, and deploy Python-based automated workflows for data collection, enrichment, entity scoring, and AI-powered research across varied internal and external datasets.
• Construct, assess, and refine predictive models using feature engineering, establish benchmarks for model evaluation, prevent data leakage, and convert research prototypes into production standards.
• Write optimized SQL queries and manage analytics infrastructure, including dashboards (e.g., Metabase), periodic performance reporting, exploratory data investigations, and source data verification.
• Convert complex operational data into actionable insights that support investment decisions, portfolio management, ecosystem development, and organizational workflows.
• Collaborate directly with cross-functional teams, identifying key challenges, communicating analytical results effectively, and iterating based on feedback.

Required Qualifications

• Proven experience as a Senior Data Scientist or Analytics Engineer driving loosely defined business problems from data exploration through production deployment.
• Advanced proficiency in Python and SQL, with strong capability using notebooks, application codebases, REST APIs, and BI platforms such as Metabase.
• Expert judgment in applied modeling including feature design, evaluation metrics, handling missing data, leakage prevention, and preference for simple, robust solutions.
• Hands-on data engineering skills including building/maintaining data pipelines, integrating external APIs, debugging inconsistent data sources, and managing workflows in production environments.
• Experience utilizing large language models (LLMs) and other AI tools for data analysis, enrichment, and workflow automation combined with a critical mindset towards results verification.
• Excellent written and verbal communication skills; highly entrepreneurial with strong initiative and problem-solving abilities.
• Willingness and ability to work onsite in New York City (this is a non-negotiable requirement).

Preferred Qualifications

• Track record of shipping full lifecycle data products or deployed models, from experimentation to production releases.
• A strong public portfolio such as GitHub contributions, open-source projects, technical publications, or distinguished independent analyses.
• Experience applying data science methods in venture capital, finance, digital marketplaces, growth analytics, or CRM operational datasets.
• Background in constructing structured extraction pipelines, LLM evaluation frameworks, or AI-assisted research tools.
• Prior founder experience or role as an early data hire in fast-scaling startups without a dedicated data platform team.
• Strong quantitative credentials such as advanced STEM degrees, competition accolades, or published quantitative research.

Compensation

The annual salary range for this position is $250,000 to $350,000.

Benefits

• Engage with an influential network of top founders and executives innovating in AI and Web3 sectors.
• Collaborate with an elite team composed of experienced technologists and former founders from premier technology and venture backgrounds.
• Enjoy substantial autonomy with minimal bureaucratic hurdles, directly influencing company strategy and core capabilities.
• Accelerate your career with comprehensive access to a premier ecosystem fostering entrepreneurial and executive leadership development.

Recruitment Process

• Stage 1: Interview with Hiring Manager
• Stage 2: Technical evaluation/interview
• Stage 3: Executive-level interview
• Stage 4: Final selection interview

Additional Information

The application volume may be high, and individual feedback cannot be guaranteed. Applicants who do not receive a response within four weeks should consider their application unsuccessful.

Commitment to equality and accessibility is a core value, ensuring nondiscrimination and accommodating reasonable requests during the hiring process. For accessibility needs or alternative job advertisement formats, candidates are encouraged to contact human resources.

Data Privacy: Collected applicant information is handled securely for recruitment purposes, complies with data protection laws, and may be shared only with clients or trusted partners as needed. Candidates may request deletion of their data or withdraw consent at any time.