обновлено 3 дня назад
Senior Data Scientist (Healthcare)
90 000 - 150 000$
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Senior Data Scientist (Healthcare): Developing and implementing machine learning algorithms, statistical models, and data solutions for complex healthcare datasets with an accent on predictive analytics, clinical data, and high-dimensional data exploration. Focus on designing scalable analytic products, evaluating experiments, translating prototypes into production services, and solving data integration and requirements challenges.
Location: Remote; travel 1–20% within the US
Salary: $90,000–$150,000 annually
Company
provides healthcare industry consulting, data, technology, and analytic solutions.
What you will do
- Develop and implement machine learning algorithms, statistical models, predictive models, NLP solutions, and advanced analytic methods.
- Design complex, reusable data solutions for prediction, probabilistic data matching, outlier identification, and confidence scoring.
- Translate prototypes into products, services, and features with developers and architects, providing guidance for large-scale implementation.
- Explore complex and high-dimensional datasets, generate and test hypotheses, and interpret product experiment results.
- Gather requirements, assess implementation impacts across applications and data warehouses, and support build-versus-buy decisions.
- Share data science practices through presentations, demonstrations, mentoring, training, and research.
Requirements
- At least 4 years of applicable experience and a bachelor’s degree; a master’s degree is also listed as required experience.
- Experience designing and developing statistical methodologies, including regression, t-tests, z-tests, log modeling, Naïve Bayes, and Monte Carlo simulation using R or Python.
- Knowledge of healthcare data, including UB and 1500 claims, HL7, CDA, EHR data, and standard healthcare taxonomies.
- Advanced data analysis and querying skills across ETL and three-tier application contexts, with Oracle, DB2, PostgreSQL, SQL Server, and Netezza.
- Experience working with large patient datasets, data analytics and standardization, consulting, and conflict management.
- Ability to communicate effectively, make independent decisions, adapt to changing priorities, meet deadlines, and collaborate in a business environment.
Culture & Benefits
- Remote working conditions with a sedentary work environment.
- Health, dental, vision, life, and disability insurance.
- 401(k) retirement program, paid time off, and participation in employee incentive plans.
- Tuition reimbursement, professional development opportunities, perks, and discounts.
- Access to on-site and online exercise classes.
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