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Corvus is seeking a Senior Data Engineer who will work alongside Product, Data Science and Engineering to build out and sustain a modern data platform that serves data analytics as a product to our internal stakeholders - Underwriting, Actuary, Sales, Claims, and Finance.
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Our stack is Snowflake, dbt, Fivetran, Airflow, AWS, Sagemaker, MLFlow, Kubernetes + Docker, Monte Carlo, Hightouch and Python for custom ETL and data science integrations. We are hiring a Senior Data Engineer to join our expanding team in solving complex data and platform challenges to accelerate our growing business.
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This position is for an Data Science entry level role in the Verizon Global Network & Technology organization. Current enrollment in a Bachelor's or Master's degree majoring in Telecommunications, Information Technology, Engineering, Data Analytics, Data Science, Computer Science or related majors with a completion date of June 2024.
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As a Lead Machine Learning Engineer you enable the Data Science team by developing platform tooling, by undertaking Data Engineering, by deploying Data Science models to production and monitoring production performance of Data Science models.
$130,000 - $170,000 a yearFull-timeExpandApply NowActive JobUpdated 9 days ago - UpvoteDownvoteShare Job
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Support data science efforts, including computational statistics, machine learning, deep learning, interactive web-based visualization. Knowledgeable in common data science packages, such as R: tidyverse and Python: Pandas, NumPy, Scikit-learn.
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As a Senior Data Engineer at Harbinger Health, you will develop and refine our bioinformatics pipeline, this work is essential for the automation and processing of patient samples. Job Description – Senior Data Engineer.
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The TetraScience Professional Services Data Science Engineer will report into the Professional Services Team. The purpose of this role is to help customers implement the Tetra Data Cloud by overcoming complex technical, business and data challenges for new clients.
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Assist group on medical data science projects. The Center for Precision Psychiatry (CPP), a new and dynamic interdisciplinary Center, is seeking a highly motivated data/software engineer to whom will interact closely with Center PIs and staff to accomplish the CPP mission of integrating research into clinical practice to advance the emerging field of precision psychiatry.
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Experience with current data science tools and methods, including machine learning (ML) and artificial intelligence (AI) frameworks. As a Principal Data Engineer, you’ll lead a team of Engineering professionals to develop and maintain smart, secure data systems and pipelines, enable analytics for data-driven decision-making, and build capacity for innovation in government.
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The hands-on Junior Quant Data Engineer will be a member of the Quantitative Investment Science team and will help with designing/architecting/developing a cloud-based large data and analytics platform using both traditional RDBMS systems like SQL server & modern tools (such as Spark/Data bricks/Azure Synapse or equivalent) and best design practices within our cloud-based Investment Data Analytics Platform, a strategic asset that drives quantitative research and investment decision-making.
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You thrive in a dynamic environment and can interact with various partners and multi-functional teams to implement data science-driven business solutions. Analyzing structured and unstructured data using data mining/statistical/machine learning/deep learning tools, Data visualization, Digital/Web analytics tools and techniques and storytelling.
Part-timeExpandApply NowActive JobUpdated 23 days ago - UpvoteDownvoteShare Job
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With the power to apply artificial intelligence and data science to business decisions via enterprise data management solutions, we help leading companies prototype, refine, validate and scale the most desirable products and delivery models to enterprise scale within weeks.
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Work with our data science team to assist with the development of feature store data including data prep, enrichment, and feature engineering for AI/ML. We’re looking for a self-motivated and detail-oriented data engineer to join our DataOps team.
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Bachelor’s Degree in Computer Science/Information Systems with 1-2 years of experience or equivalent work experience (i.e. ETL/Data Integration Specialist with 1-3 years of experience in an enterprise business environment.
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In your role you’ll lead a team of data engineers building scalable data pipelines that realize a seamless multimodal data flow from A to Z across our data infrastructure in order to accelerate data science and insight generation at Oncology R&D.
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data science jobs Title: data engineer in Cambridge, MA
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