3 дня назад
Lead Data Scientist (Machine Learning)
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Lead Data Scientist (Machine Learning): Building advanced analytical solutions and predictive models that answer complex business questions and improve operational workflows, with an accent on statistical analysis, machine learning, deep learning, and translating results into actionable business insights. Focus on assembling large datasets, applying techniques such as regression, tree-based learning, neural networks, clustering, and natural language processing, and leading production-ready analytical projects.
Location: Remote work from Pennsylvania, United States
Company
develops healthcare and business analytics capabilities that support operational decision-making and customer information protection.
What you will do
- Partner with business stakeholders to understand processes, define complex analytical use cases, and estimate potential impact.
- Identify required data sources, assemble datasets from operational and analytical structures, and solve multiple complex business problems simultaneously.
- Apply advanced statistical, machine learning, and deep learning methods to create accurate, well-documented analyses and predictive models.
- Translate analytical results into reports, presentations, and data visualizations that business audiences can understand and implement.
- Plan and coordinate analyses through production delivery, including selecting the appropriate implementation approach.
- Represent major projects externally while mentoring and teaching other professionals.
Requirements
- At least 5 years of data science experience, or 3 years with a PhD.
- Master’s degree in analytics, mathematics, physics, computer and information science, engineering technology, or a related field; a bachelor’s degree plus 3 years of relevant experience may substitute for a master’s degree.
- Strong knowledge of advanced analytical techniques, including regression, tree-based learning, neural networks, clustering, and natural language processing.
- Experience with SQL, BigQuery, Python, and R for data analysis and statistical modeling.
- Strong written and oral presentation skills, analytical reasoning, collaborative problem-solving, and basic prototyping or frontend skills.
- Applicants must work remotely from Pennsylvania, United States.
Nice to have
- Doctoral degree in analytics, mathematics, physics, computer and information science, engineering technology, or a related field.
- External presence through conferences, white papers, or professional associations.
Culture & Benefits
- Office-based position classification with remote work listed for Pennsylvania.
- Regular mentoring and teaching responsibilities.
- Travel required approximately 0%–25%.
- Work includes access to confidential customer and healthcare information subject to HIPAA, privacy, security, and business conduct requirements.
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