2 дня назад
Senior Data Scientist
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Senior Data Scientist (Machine Learning): Own end-to-end data science projects, building and deploying production machine learning models with an accent on statistical modeling, experimentation, and scalable data systems. Focus on feature engineering, A/B testing, causal inference, model monitoring, and translating complex analyses into business and product decisions.
Location: United States · Remote
Company
Specialist executive search firm focused on connecting organizations undergoing AI transformation with relevant leadership and specialist talent.
What you will do
- Own data science projects from problem definition and exploratory analysis through model development, validation, deployment, and monitoring.
- Build and optimize machine learning models, including feature engineering, model selection, and performance improvement.
- Partner with engineering and product teams to integrate models into applications and data pipelines with scalability and reliability.
- Design experiments, including A/B tests and causal inference studies, to inform product and business decisions.
- Communicate findings and recommendations to technical and non-technical stakeholders.
- Improve data infrastructure and workflows while mentoring junior team members and contributing to data science best practices.
Requirements
- 5–8 years of professional data science experience.
- Hands-on experience building and deploying production machine learning models.
- Strong foundation in statistics, experimental design, and machine learning fundamentals.
- Fluency in Python or R and SQL.
- Experience across the full model lifecycle, from scoping and feature engineering through validation, deployment, and monitoring.
- Ability to explain technical work and uncertainty clearly to technical and non-technical audiences.
Culture & Benefits
- Remote work from the United States.
- The posting is intended for future opportunities and adds applicants to a candidate network rather than applying to one specific open role.
- Potential opportunities span AI transformation initiatives across technology, financial services, professional services, and healthcare.
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