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Our researchers have a broad range of expertise related to computer science and electrical engineering, such as AI/ML, algorithms, digital signal processing, audio engineering, image processing, computer vision, data science & analytics, distributed systems, cloud, edge & mobile computing, computer networking, and IoT.
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This team focuses on implementing all aspects of data analytics and data science, including data querying, visualization, predictive analytics, machine learning, artificial intelligence, and robotic process automation (RPA.
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Candidates should have a doctoral degree in bioinformatics, computational biology, statistics, data science, other relevant fields with at least 1-3 years/ masters degree with at least 5-7 years/BS degree with at least 10 years of relevant post-degree experience, preferably in pharma/biotech or related research organizations/academia.
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Relative to the use of Exact Sciences' products, including clinical and select health economics and outcomes research data (HEOR). Some experience communicating health economics and outcomes research (HEOR) data.
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To work collaboratively on multi-functional projects and interact with biomarker scientists and scientists from other functions including clinical pharmacology, biology, bioinformatics, clinical research, and clinical data science on a regular basis.
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The Clinical Data Science team at Eisai, Inc., is expanding its capabilities by acquiring in-house talent related to bioinformatics, machine learning, and big data analytics for the Oncology and Neurology clinical programs.
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Data Analysis, Databricks Platform, Data Science, Machine Learning, Technical Solutions. Bachelor’s or master’s degree in computer science, Data Science, Statistics, or a related field.
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Experience with common data science tools such as Python, R, Pytorch, TensorFlow, Keras, NLTK, Spacy, or Neo4j, and a good understanding of modelling platforms (Azure AutoML, SageMaker, DataBricks, DataRobot and H2O.ai.
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Strong coding experience in Python, in a data science context and a good grounding in SQL. Any Databricks, MLFlow and Spark experience would be advantageous. Be a core member in the team delivering the Data Strategy, working in an agile methodology, to deliver trusted governed Data Science outcomes for the business.
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We are looking to hire a staff machine learning engineer to join our RVO Health data science team. 6+ yrs of professional experience in a data science role with an MS or PhD in STEM with a focus in ML, statistical modeling, or optimization.
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The Co-Op Flight Safety Data Science responsibilities include providing support to the Flight Safety Data and Decision Science Team (DDS) along with the Aviation Safety Action Program (ASAP), Air Safety Investigation (ASI), and Flight Operational Quality Assurance (FOQA) programs.
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Experience with building AWS cloud-native data science applications. Either a patent, or speaking roles at major data science conferences (Open Data Science conference, etc.
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Working across technical and functional teams, you will utilize the latest data science, data engineering, data visualization and business intelligence strategies, methods, and standards to bring forth market leading insights.
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Understanding of enterprise data management concepts (Data Governance, Data Engineering, Data Science, Data Lake, Data Warehouse, Data Sharing, Data Applications.
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We have an opportunity on the Artificial Intelligence / Data Science organization at Georgia-Pacific’s Collaboration & Support Center, located in Atlanta, GA. We are looking for an experienced Lead Operations Research Scientist to join a team of Data Scientists to focus on providing support and solutions to our manufacturing operations.
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data science jobs Title: senior manager Company: Xactly in Atlanta, GA
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