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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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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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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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Equal Opportunity Employer/Veterans/DisabledBy applying, you consent to your information being transmitted by Jobcase to the Employer, as data controller, through the Employer’s data processor SonicJobs.
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Comfortable handling, implementing, and using audit and compliance management tools (Alation, BigID, Immuta and Anomalo) in industry forward data warehouses (Snowflake, Databricks). Our Data Products & Platforms organization is seeking a Governance, Risk & Compliance (GRC) Sr Software Engineer who will be an outstanding addition to our team.
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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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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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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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Experience with OMS and EMS workflows, market data platforms and trading venues. We're seeking a future team member for the role of Senior Vice President, Equity Trader to join our Buy Side Trading Solutions Team. This role is located in Boston, MA - HYBRID.
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The Principal Scientist, Bioinformatics Data Science, is a critical contributor to data analytics and engineering focused on accelerating our R&D programs and expanding our FORCE therapeutic delivery platform.
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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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data science jobs Title: registered nurse in Somerville, MA
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