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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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Prior experience in data science/AI/BI tools. Focus on software development life cycle, you will collaborate with our Head of Technology Strategy, Head of Data, Solution Architects, Data Analysts, Data Team, and Portfolio Delivery function Leads to understand customer and technical needs to design and implement the Global Investment data platform, including Persistence, Integration and Services layers of the business solutions in compliance with architecture principles and standards followed by MMC technology.
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Authority in Node.js, Angular, Spring, and Java, applying expertise to drive the development and implementation of data solutions. Bachelor's or foreign equivalent Degree in Computer Science, Information Systems, Software, Electrical or Electronics Engineering, or comparable field of study, and/or equivalent work experience.
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We extend rapidly evolving technical capabilities – such as remote sensing and signal processing techniques, data science, software tools, and systems analysis – to under-served mission needs across the domestic and international landscape.
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ACCOUNTABILITIES: Develop and implement computational strategies to analyze and integrate multi-omics data, including genomics, transcriptomics, proteomics, and metabolomics. Extensive experience with data mining, text mining, systems biology and network analysisExcellent programming knowledge and experience with cloud computing and command line expertise in R, SQL, Perl, Python and proficiency in Linux environment.
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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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Educational Outreach: Collaborating with the Head of Tokenization Platform Strategy, and the FDAM investment research, data science and digital asset strategist teams in conducting educational sessions and workshops to enhance awareness and understanding of tokenization concepts and asset tokenization models and token economics.
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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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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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You have hands-on experience developing data science solutions using open-source tools and cloud computing platforms. San Francisco, California (Hybrid On-site): $174,900 - $199,700 for Data Science PhD.
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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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Collaborating with finance, product, data engineering, data science, and business teams, this position will act as a subject matter expert for all facets of subscriber growth and churn data for Disney+, ESPN+, Star+, and Hulu. This expertise will manifest in the design and implementation of core subscriber data models that enable internal clients to explore, analyze, and monitor data.
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Proficiency or Certification in Epic Clarity / Caboodle data model or other Epic applications is strongly preferred; experience with Epic’s EHR system is required. Strong programming skills and proficient in other programming languages (e.g., SAS, R, and Python) as well as working knowledge of data visualization (Tableau) software is preferred.
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The successful candidate will have a mastery of the drug development process, notably in early phase clinical trials, protocol writing, study conduct, data review and reconciliation, the principles of translational medicine, and what it takes to lead teams successfully.
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5+ years of experience with AS or BS in arboriculture, plant science, forestry, urban forestry, or a related field. Perform relevant data entry and analysis. The Urban and Community Forester will be part of Mass Audubon’s Nature in the City team working closely with the Boston Community Engagement Coordinator to build a coalition of organizations working collectively to equitably grow and care for Boston’s urban forest.
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data science jobs Title: travel registered nurse in Somerville, MA
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