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Experience deploying and maintaining pipelines (AWS, Docker, Airflow) and in engineering big-data solutions using technologies like Databricks, S3, and Spark. Feature Engineering and Optimization: Develop and maintain ETL pipelines using orchestration tools such as Airflow and Jenkins; deploy scalable streaming and batch data pipelines to support petabyte scale datasets.
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Reporting to our VP, Data Science and Analytics and partnering closely with our marketing, product, and business leaders, you will run analyses, build attribution models, and design and run experiments to identify efficient acquisition channels and translate insights and learnings to inform our growth marketing investment decisions.
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Pearson VUE provides a full suite of services from test development to data management and delivers exams through the world’s most comprehensive and secure network of test centers in more than 180 countries, where we validate the skills and knowledge of millions of individuals every year.
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Demonstrated experience with site investigations, including structural bedrock measurements and mapping, data interpretation, geotechnical test borings, rock coring and geophysics. We are currently seeking a Geologist, Engineering Geologist, or Geological Engineer to work in a technical support role with highly skilled professionals on diverse project teams in a dynamic environment.
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The Group has expertise in communications; optics; electro-optics; optomechanics; optical turbulence mitigation; precise pointing control systems; embedded systems; digital and analog design; command, control, and telemetry; test set design and fabrication; data analysis; modeling; and simulation.
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The Department of Data Science at Dana-Farber Cancer Institute is aimed at driving cancer research through innovation and collaboration in the quantitative sciences. The Department of Data Science at the Dana-Farber Cancer Institute is conducting a search for Computational Biologists.
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Our Data Products & Platforms organization is seeking a Governance, Risk & Compliance (GRC) Sr Software Engineer who will be an outstanding addition to our team. This role sits in the Data Products & Platforms organization within DX and as a Sr Software Engineer, you will report into the Sr Manager who oversees data GRC practices.
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1-3 years of experience as an Analytics Engineer, Data Engineer, or similar role. Proficiency or Certification in Epic Clarity / Caboodle data model or other Epic applications is strongly preferred; experience with Epic’s EHR system is required.
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As part of the Biomarker Science & Technologies (BST) group at Takeda, you will report to the Head of Sample and Data Operations, Director and you will will w ork to advance the mission of BST and its contributions to the clinical program lifecycle.
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We utilize a plethora of open source and industry accepted technologies for our big data problems such as Apache Spark, Apache Storm, Amazon Web services, and Apache Kafka. Collaborates with other peer organizations (e.g., Business Analyst, Data Modeler, QA, SRE, technical support, etc.
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A strong background in statistics, biostatistics, computer science and/or computational biology is required; and specifically, experience with analyzing high-dimensional datasets, such as whole-genome sequencing, multi-omics data, and electronic health records, is preferred.
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Develop detailed test strategies, test scenarios, and test cases for validating data warehouse migration to Snowflake. Your responsibilities will include designing, implementing, and executing test cases to validate the functionality, performance, and data integrity of the Snowflake migration.
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Description: Job/Position People Analytics Data Engineer & Enablement Hybrid, 5 days 1 month, the rest as per needed Location: Lexington, MA or virtual OBJECTIVES/PURPOSE (3-4 bullets) Reporting to the People Analytics BI & Innovation Lead, and as a key member of the Global HR People Analytics team, this individual will be responsible for enabling the democratization of data within the people analytics team.
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You will join the small but tight-knit TIDAL Data Science & Analytics team, and will report into the Head of Data Science & Analytics. Fluency with data, analytics and visualization technologies (We use SQL, Tableau, Looker.
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Alternatively, the employer will accept a master’s degree, or its foreign equivalent, in Computer Information Systems, Information Systems, Computer Applications, Computer Science, IT, Analytics, Computer Engineering, or a related engineering/computer/analytical field plus 5 years of professional experience as a Systems Engineer/Developer, Business Intelligence Analyst/Developer, in the job offered, or in other positions involving business intelligence.
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data science test engineer jobs in Waltham, MA
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