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Experience in Big Data : 3+ years of experience working in the Big Data ecosystem, particularly with tools like Databricks, Apache Spark, Hadoop, etc. Document Big Data Architectures : Create comprehensive technical documentation for Big Data platforms, including Databricks, Apache Spark, and data lake architectures.
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TikTok is the leading destination for short-form mobile video.
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Cloud & Big Data Integration: Lead the migration and integration of data systems to cloud environments (AWS, Azure, GCP) and implement big data solutions as needed for advanced analytics and reporting.
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Experience of implementing Amazon EMR or Big Data technologies like Hadoop, Spark, Presto, Hive will be a plus Prior domain experience of Life Insurance, Annuity or Financial Services is a plus AWS Certifications are considered a strong plus Excellent verbal and written communication skills.
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Apache Hadoop or Apache Spark (for big data processing) Clinical Terminologies (e.g., SNOMED, LOINC) Data Warehousing (e.g., AWS Redshift, Google BigQuery) Natural Language Processing (NLP) (for analyzing clinical notes or electronic health records.
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TensorFlow, PyTorch, Keras (for deep learning and complex machine learning, including neural networks and advanced AI) Natural Language Processing (NLP) Tools and Frameworks (e.g., Hugging Face, AWS Comprehend Medical for extracting insights from clinical text data.
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Docker, Kubernetes, ECS, EKS or AWS Fargate (for containerization and orchestration of data applications and reproducibility) Data Visualization Tools (e.g., Tableau, Power BI, Plotly) ETL Tools (e.g., Informatica, Talend, AWS Glue.
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AWS SageMaker (for end-to-end machine learning development, training and scalable machine learning in a managed cloud enviornment) Bachelors Degree computer science, artificial intelligence, informatics or closely related field.
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AWS Bedrock (for accessing pre-trained LLMs and foundation models without managing infrastructure) Experience with Epic or Cerner (popular EHR systems in healthcare) AWS, Google Cloud, or Azure (cloud platforms for scalable computing.
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SQL-based Databases (e.g., PostgreSQL, MySQL, Microsoft SQL Server) The Data Scientist will be responsible for driving insights from the vast amounts of patient and environmental data available within our data warehouse.
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ICD-10 Coding (for medical diagnosis and procedure classification) HL7 (Health Level Seven International standards for electronic health information exchange) Electronic Health Records (EHR) Systems.
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HIPAA Compliance (handling sensitive patient data securely) Predictive Modeling (for patient outcomes, risk analysis) NoSQL Databases (e.g., MongoDB, Cassandra) Data Privacy (understanding of privacy laws such as HIPAA, GDPR.
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Work closely with researcher teams to design analysis specifications, including input data specifications, data cleaning, algorithms, and interpretation of results. The successful candidate will have demonstrated competence in developing highly scalable artificial intelligence systems with multiple dependencies across teams.
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Data Scientist (Healthcare) 100% Remote. R (for statistical computing and bioinformatics) Data Science & Machine Learning Frameworks. CI/CD Pipelines (for automating deployment and monitoring of machine learning models.
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MATLAB (for algorithm development, though less common in healthcare) Python (for preprocessing, data analysis, machine learning, scripting) Experience with machine learning and statistical analyses are needed.
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big job Company: Qualcomm in DC, France
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