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We are looking to hire a staff machine learning engineer to join our RVO Health data science team. Familiarity with healthcare data standards, EHR systems, and medical terminologies (e.g., HL7, ICD-10, SNOMED CT) is a plus.
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6+ yrs of professional experience in a data science role with a preference for holding an MS or PhD in STEM with a focus in ML, statistical modeling, or optimization. Proven experience in data science and machine learning, preferred experience on healthcare applications and AI.
$138,700 - $190,000 a yearFull-timeExpandApply NowActive JobUpdated Yesterday - UpvoteDownvoteShare Job
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Data science, machine learning, optimization models, PhD in Machine Learning, Computer Science, Information Technology, Operations Research, Statistics, Applied Mathematics, Econometrics, Successful completion of one or more assessments in Python, Spark, Scala, or R, Using open source frameworks (for example, scikit learn, tensorflow, torch.
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As a Staff Data Scientist, you will be a Technical lead on Data science projects and work with Marketing stakeholders to take ownership of implementation and delivery responsibilities.
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Embark on a leadership role within the Blue Yonder Data Science and Machine Learning team as a Staff Data Scientist, steering our machine learning platform that processes real-time data and powers deep learning models, generating billions of predictions daily.
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In this role, the Staff Data Scientist will work closely with cross-functional teams to design, deploy, and improve scalable machine learning models for edge devices. We are seeking a highly skilled and experienced Staff Data Scientist with a strong expertise in computer vision and edge computing to be responsible for the operation and maintenance of our edge computer vision systems.
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4+ years of professional experience as a data scientist in the SaaS industryWorking knowledge of Unix command-line/shell and gitExperience deploying models in a production environment, ideally with Databricks.
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The Data Scientist will be responsible for applying advanced analytics and creating data-based insights for the Oncology, Rare Disease, and CNS business franchises in Kyowa Kirin North America.
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Staff Data Scientist. Python, R, or Scala for data analysis and model development. Stay abreast of industry trends, best practices, and emerging technologies in pricing analytics, data science, and machine learning to drive innovation and continuous improvement.
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The Teledyne FLIR Data Scientist will be part of a team responsible for in-depth research, discovery and problem-solving related to detection of Chemical, Biological, Radiological, Nuclear and Explosive (CBRNE) threats for US Government and Commercial markets.
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5+ years in a Data Analyst and/or Data Scientist capacity. 5 years of experience with Clarity PPM reporting, developing data dashboards, charts and datasets in Clarity. Evolve our data collection capabilities, analytics and reporting process as the business evolves and grows by optimizing strategies, implementing databases, and managing security, data sources and metadata.
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As a Manager, Data Scientist, you will play a pivotal role in leveraging big data to design, develop, and implement innovative analytical solutions that quantifiably measure and predict consumer behaviors and business outcomes.
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ComSenior Data Scientist. Senior Data Scientist. Data Science tools like Knime, Dataiku, AWS SageMaker, statistical languages, and packages, e.g., R, Python, Julia, SAS, data visualization tools and techniques, e.g., Tableau, ggplot, matplotlib, R/Shiny, Qlik, data manipulation tools such as SQL, Spark, PySpark and Hive, cloud environments like Azure and AWS, deep learning tools such as Tensorflow, Keras and PyTorch.
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CGI is seeking a Sr. Data Scientist to join our Emerging Technology Practice. Data warehouses and file stores such as Snowflake, RedShift, Teradata, BigQuery, Amazon S3, Amazon RDS, Azure Synapse, Databricks Lakehouse, etc.
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The Data Scientist should be versed in statistics, predictive modeling, machine learning, computational simulation, geospatial modeling, network science, or other analytic techniques. The data scientist is expected to participate in the design, development, and implementation of novel analytics to address a variety of customer problem sets.
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Title: staff data scientist Company: Ampersandpeople
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