Data Scientist
Full Time • Temporarily Remote - US
Job Title: Data Scientist
Position Summary:
We're seeking a Data Scientist to analyze large datasets, develop predictive models, and drive data-driven decision-making across the organization.
Key Responsibilities:
Analyze complex datasets to identify trends and insights
Develop and implement predictive models and machine learning algorithms
Create data visualizations and dashboards
Collaborate with cross-functional teams to translate business needs into data solutions
Ensure data quality and integrity
Stay current with industry trends in data science
Qualifications:
Bachelor's degree in Data Science, Computer Science, Statistics, or related field (Master's preferred)
12-15 years of experience in data science or related roles
Proficiency in Python, R, or SQL
Experience with data visualization tools (e.g., Tableau, Power BI)
Familiarity with machine learning frameworks (e.g., TensorFlow, scikit-learn)
Strong analytical and problem-solving skills
Excellent communication and presentation abilities
Experience with big data technologies (e.g., Hadoop, Spark) is a plus
Knowledge of statistical analysis and modeling techniques
Experience in developing analytical documentation for ongoing projects
Position Summary:
We're seeking a Data Scientist to analyze large datasets, develop predictive models, and drive data-driven decision-making across the organization.
Key Responsibilities:
Analyze complex datasets to identify trends and insights
Develop and implement predictive models and machine learning algorithms
Create data visualizations and dashboards
Collaborate with cross-functional teams to translate business needs into data solutions
Ensure data quality and integrity
Stay current with industry trends in data science
Qualifications:
Bachelor's degree in Data Science, Computer Science, Statistics, or related field (Master's preferred)
12-15 years of experience in data science or related roles
Proficiency in Python, R, or SQL
Experience with data visualization tools (e.g., Tableau, Power BI)
Familiarity with machine learning frameworks (e.g., TensorFlow, scikit-learn)
Strong analytical and problem-solving skills
Excellent communication and presentation abilities
Experience with big data technologies (e.g., Hadoop, Spark) is a plus
Knowledge of statistical analysis and modeling techniques
Experience in developing analytical documentation for ongoing projects
Work remote temporarily due to COVID-19.
Empowering the Future of Healthcare
The healthcare Industry is on the brink of a paradigm shift where patients are increasingly being viewed as empowered consumers, utilizing digital technologies to better understand and manage their own health. As a result, there is a growing demand for a range of patient-centric services, including personalized care that is tailored to each individual's unique needs, health equity that ensures access to care for all, price transparency to make healthcare more affordable, streamlined prior authorizations for medications, the availability of therapeutic alternatives, health literacy to promote informed decision-making, reduced costs, and many other initiatives designed to improve the patient experience.
ClinDCast is at the forefront of shaping the future of healthcare by partnering with globally recognized healthcare organizations and offering them innovative solutions and expert guidance. Our suite of services is designed to cater to a broad range of needs of healthcare organizations, including healthcare IT innovation, electronic health record (EHR) implementation & optimizations, data conversion, regulatory and quality reporting, enterprise data analytics, FHIR interoperability strategy, payer-to-payer data exchange, and application programming interface (API) strategy.
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