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Hands-on experience with big data technologies and cloud (Databricks / Spark, Azure/AWS/GCP). If the candidate does not have a background in Actuarial science, the candidate should have 4+ years of industry experience building and analyzing machine learning models and should hold a graduate degree in a technical field such as Statistics, Computer Science, Data Science, Bioinformatics, Physics, Mathematics, Economics or Engineering.
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Experience in Data Science/cloud-based machine learning platforms (AWS Bedrock, AWS Sagemaker, Snowflake Cortex etc. BIG Data: Experience with distributed systems (Spark, Hadoop) is a plus.
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The Data Scientist will collaborate closely with product, operations, engineering, data science, and clinicians to provide best in class analysis of oncology care pathways and contribute to technical product requirements with supervision from senior scientists.
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Join us as the Director, Data Science & Analytics (Amazon) and lead the charge in discovering new horizons within the Amazon marketplace. The ideal Director, Data Science & Analytics (Amazon) has an insatiable desire to create breakthrough strategies with the experience to own our data tech stack and global reporting & analytic best practice.
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Basic to substantial experience in one or more of the following commercial/open-source data discovery/analysis platforms: RStudio, Spark, KNIME, RapidMiner, Alteryx, Dataiku, H2O, SAS Enterprise Miner (SAS EM) and/or SAS Visual Data Mining and Machine Learning, Microsoft AzureML, IBM Watson Studio or SPSS Modeler, Amazon SageMaker, Google Cloud ML, SAP Predictive Analytics.
$248,400 a yearFull-timeExpandApply NowActive JobUpdated 19 days ago - UpvoteDownvoteShare Job
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Data: Good understanding of data & data processing tools (e.g. Spark, Kafka, SQL), of relational database technologies and of analytics databases (e.g. Redshift, Vertica, Snowflake.
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Work closely with individual clinical teams as well as functional area partners (e.g., Translational research, Precision Medicine and diagnostics, Regulatory Affairs, Market Access, Clinical Development) to identify and implement end-to-end Data Science solutions aimed at facilitating decision making.
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In partnership with the Data Science team, manage bioassay data integration into the Flare data management platform (supporting early hit finding through DC candidate identification) and help lab scientists analyze and report project data efficiently.
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Master Data Management: Informatica MDM. Database/Data Warehouse: AWS RDS, Snowflake, AWS Redshift, Knowledge of SQL. Meta data management/Data Catalog: Informatica EDC. Data Security: Experience in working within compliance (e.g.: quality, regulatory – data privacy, GxP, SOX) and cybersecurity requirements is a plus.
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Data Science Management, Director Data Science, Director of Data Science, Director of Engineering, Senior Director of Data Science, Senior Director Engineering, Manager Data Science, Manager Engineering, Artificial Intelligence Management.
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Master's degree in a related field (e.g., Higher Education Administration, Educational Research, Data Science); The Assistant Vice President for Institutional Effectiveness will translate complex data into actionable insights, thereby empowering various departments, including academic affairs, student affairs, student services, finance, and facilities, to make data-driven decisions.
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We partner with our clients on advisory and strategy services and complete technical implementation capabilities focusing on data governance, change management, data intelligence, cloud and security, data engineering, visualization, and data science.
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Center 1 (19052), United States of America, McLean, VirginiaCurrent Master's - Data Science Internship - Summer 2025Key Role DetailsThis is a full-time paid internship program spanning ten weeks from June through August 2025.
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The Science Teacher is a member of the school’s Upper Division and reports to the Upper Division Head. This full-time, 10-month position comes with the responsibility of working with faculty and staff to support the school’s mission and curricular goals.
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Firm Type: Law Firm, Experience: 5 Years, A law firm in Boston, MA, is seeking a highly skilled Data Privacy Attorney to join their team. Proactively drive improvements to the firm’s data privacy compliance posture.
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spark data science jobs Company: Intuit Inc in Cambridge, MA
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