Job Summary
Job Specification: Data Scientist (Mid-Senior Level)
Role Requirements:
Technical Skills & Tools:
- Must-have:
- Proficiency in statistical modeling and classical machine learning techniques (supervised learning, reinforcement learning basics)
- Experience with experimental design, A/B testing, and analysis
- Familiarity with CI/CD workflows and collaboration with software/data engineering teams
- Programming experience in Python and SQL (coding proficiency secondary to analytical maturity)
- Ability to evaluate, tune, and operationalize supervised learning models, including contextual bandits
- Nice-to-have:
- Experience working with ML predictions in e-commerce or similar environments
- Knowledge of fintech or telecom industries (transferable experience)
Experience & Background:
- Preferred:
- Work experience with 5+ years in data science roles
- Demonstrated ability to translate ambiguous business questions into modeling strategies independently
- Prior experience supporting deployment and operationalization of models within software teams
- Not required:
- PhD degree (experience prioritized); PhDs valued for independence and tenacity
Certifications & Education:
- Not mandated; relevant work experience valued over formal education
Soft Skills & Working Style:
- Highly autonomous, capable of handling unstructured tasks with minimal guidance after approximately 6 months
- Strong problem translation skills, with ability to communicate effectively with stakeholders
- Demonstrated capacity to operationalize data science solutions in collaboration with technical teams
- Proactive, independent thinker with problem-solving aptitude
Location & Work Setup:
- Preferred: Washington D.C. area; possible NYC location
- Work arrangement: 1 day/week on-site initially; potential for fully remote work later
- Employment type: Full-time, direct hire
- Salary range: $170,000
Additional Considerations:
- Candidates should have experience supporting practical, operational data science initiatives in a collaborative environment
- Emphasis on practical experience, independence, and ability to partner effectively with software and data teams; coding skills are essential but secondary to analytical and problem-solving skills.
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