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A list of emerging technologies we’re interested in: Big Data, Machine Learning, Voice, AR/VR, Security Background, and IoT. As a Senior Software Engineer (React Native) at WillowTree, you have the opportunity to impact teammates throughout various stages of their careers.
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In our Data science track we prepare you to get job as one of the following: Python developer, a data analyst, data visualization developer, a statistician, a machine learning engineer or a data scientist.
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Expertise with Google Cloud Platform’s distributed Machine Learning, Data Science and Data Engineering tools (e.g. BigQuery ML, VertexAI, AutoML, Docker, Kubernetes, Kubeflow, Dataproc.
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As the global leader in experience-centric operational analytics, Conviva has redefined big data analytics with our paradigm-shifting Time-State Analytics model. Join us to help extend our leadership position in big data streaming analytics to new audiences and markets.
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As a Senior Machine Learning Engineer, you will work on building AI/ML solutions across a wide range of business applications. 8+ years of experience in developing business applications for Machine Learning and Data Science workloads.
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Data Science & Machine Learning Frameworks. Python (for preprocessing, data analysis, machine learning, scripting) Apache Hadoop or Apache Spark (for big data processing.
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TensorFlow, PyTorch, Keras (for deep learning and complex machine learning, including neural networks and advanced AI) AWS SageMaker (for end-to-end machine learning development, training and scalable machine learning in a managed cloud enviornment.
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CI/CD Pipelines (for automating deployment and monitoring of machine learning models) Experience with machine learning and statistical analyses are needed. Scikit-Learn (for classical machine learning.
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Data Warehousing (e.g., AWS Redshift, Google BigQuery) 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) 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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HIPAA Compliance (handling sensitive patient data securely) Data Privacy (understanding of privacy laws such as HIPAA, GDPR) Work closely with researcher teams to design analysis specifications, including input data specifications, data cleaning, algorithms, and interpretation of results.
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Data Scientist (Healthcare) 100% Remote. Data Governance & Security. Develop and implement algorithms on existing data warehouse records and identify new external data sources to be ingested to the data warehouse to strengthen analyses.
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Research and implement AI algorithms, apply off-the-shelf AI and data-centric tools, and collect, store, and maintain data. Auditing & Compliance Tools (for ensuring secure and compliant data handling.
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SAS (common in healthcare data analysis) Data Anonymization or De-identification techniques (for research and compliance) XGBoost or LightGBM (for gradient boosting in structured data.
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Data Tools & Platforms. Clinical Terminologies (e.g., SNOMED, LOINC) Natural Language Processing (NLP) (for analyzing clinical notes or electronic health records) ETL Tools (e.g., Informatica, Talend, AWS Glue.
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machine learning software engineer senior big data jobs Title: senior capture manager
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