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The Data Scientist will be responsible for Exploratory Data Analysis (EDA), feature engineering, feature selection, real-time streaming pipeline engineering, online/offline feature store curation, iterating various modeling approaches, evaluating error metrics, deploying Machine Learning models to the cloud, creating compelling visualizations and communicating findings effectively to large audiences.
Full-timeExpandApply NowActive JobUpdated 18 days ago - UpvoteDownvoteShare Job
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Ph. D. (or equal work experience) in Bioinformatics, Computational Biology, Computer Science, or a related field with a strong emphasis on data engineering, bioinformatics pipeline development, and human genetics.
Full-timeExpandApply NowActive JobUpdated 8 days ago - UpvoteDownvoteShare Job
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The candidate should have at least one year of professional experience in cloud data engineering, utilizing platforms like Databricks, AWS RedShift, and Snowflake. This position will also require active contributions to data engineering, cloud data strategy, and business intelligence.
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Engineer and optimize computational frameworks to support the data needs of internal biology, protein engineering, and clinical teams, focusing particularly on genetic data integration.
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You have a keen eye for improvement opportunities and a demonstrated ability to deliver using software engineering and ML software integration skills while working closely with Computational Scientist, MLOps and Data Scientists.
Full-timeExpandApply NowActive JobUpdated 3 days ago - UpvoteDownvoteShare Job
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Familiar with IT security/cybersecurity domains is a bonus, including but not limited to cyber engineering, IAM (Identity Access Management), SSO, MFA, cyber threat intelligence, security operation, access control, network security, security vulnerability, insider threat, data loss protection, etc.
$230,000 a yearFull-timeExpandApply NowActive JobUpdated 11 days ago - UpvoteDownvoteShare Job
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Interface directly with biology, protein engineering, and clinical teams to translate data insights into actionable clinical and therapeutic interventions, leveraging insights from human genetics.
Full-timeExpandApply NowActive JobUpdated 20 days ago - UpvoteDownvoteShare Job
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Lead the engineering team in designing, developing, and deploying solutions applying modern web frameworks, machine learning solutions, data engineering technologies, microservices, and cloud-native architecture.
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Drive the adoption of best practices in data engineering, including the use of SQL, Snowflake, dbt, Python, and cloud platforms like Microsoft Azure. At least 5 years of experience in a leadership role, managing teams focused on data engineering, analytics, and business intelligence.
$250,000 a yearFull-timeExpandApply NowActive JobUpdated 10 days ago - UpvoteDownvoteShare Job
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Minimum of 8+ years of experience in data engineering, with a focus on Snowflake and DBT. This role involves collaborating with cross-functional teams to translate business requirements into technical solutions, maintaining data integrity and compliance, and driving innovation in data engineering practices.
ExpandApply NowActive JobUpdated 5 days ago - UpvoteDownvoteShare Job
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Bachelor's degree (or foreign education equivalent) in Computer Science, Engineering, Information Technology, Information Systems, Mathematics, Physics, or a closely related field and five (5) years of experience as a Senior Manager, Data Analytics and Insights (or closely related occupation) using R, SQL, Python and Tableau to mine social media data and derive analytics and insights that support data-driven, strategic business decisions.
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Design, provision and maintain the cloud infrastructure needed to support Data Engineering, Data Science, Machine Learning Engineers, and Machine Learning Operations. Your first 6-months will be in the role outlined below and you will return to this role following two broadening 6-month placements (in closely related fields such as Data Science, Data Engineering etc.
$99,000 a yearFull-timeExpandApply NowActive JobUpdated 7 days ago - UpvoteDownvoteShare Job
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BU ECE faculty lead and participate in several high-profile, multidisciplinary research centers, including the Photonics Center, the Rajen Kilachand Center for Integrated Life Science and Engineering, the Neurophotonics Center, and the Center for Computing and Data Science.
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The Master Data Engineering Manager on the Data & Analytics team will be responsible for the full lifecycle development, implementation, and production support of the enterprise MDM hub and support data integrations with other applications/systems.
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Implement CI/CD pipelines using Azure DevOps or GitHub Actions to automate the deployment and testing of data engineering solutions. Engage with business stakeholders to translate business requirements into technical data engineering tasks and project deliverables.
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engineering data jobs Company: Ecocareers in Boston, MA
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