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Collaborate with Data Science, Infrastructure, and other Analytics teams using tools such as SQL, Excel, Looker, and Google data studio to deliver real-time performance data to the business leadership team, formulate hypotheses, develop models and socialize recommendations that address strategic and operational challenges.
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Proven publications in machine learning, AI, computer science, statistics, applied mathematics, data science, or related technical fields. Plan and execute cutting-edge research and development to advance the state-of-the-art in machine perception, mapping, reconstruction and localization, as well as 3D scene understanding across optical/inertial/wireless sensing systems.
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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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2 years: Performing ETL/ELT and SQL coding (using tools such as dbt, Azure Data Factory, Matillion, SSIS/SSMS, Tableau Prep Builder) within a cloud-based data warehouse (such as Snowflake, Oracle, BigQuery, 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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As a Sr. Product Manager - EMS you will be responsible for driving the strategy, development, and delivery of cutting - edge Energy Management System (EMS) solutions for standalone battery energy storage and hybrid solar+storage systems , with an emphasis on large , front-of-the-meter , utility - scale applications.
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Bachelor’s degree (or foreign education equivalent) in Applied Computer Science, Computer Science, Engineering, Information Technology, Information Systems, Information Management, or a closely related field and three (3) years of experience as a Senior IT Data Analyst (or full stack engineering or closely related occupation) performing data analysis and modeling using SQL, PL/SQL, and Python in a financial and brokerage services domain.
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5+ years of experience providing research and/or data support in business, finance, economics, and/or other social science research environments required. Are you excited by the idea of joining an organization supporting cutting edge business research in an academic setting.
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They are passionate about creating cutting-edge technology that integrates advanced robotics, artificial intelligence, and machine learning to solve real-world problems. Opportunity to work on cutting-edge technology in a fast-paced, innovative environment.
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Harness the power of Databricks Delta Lake and Parquet files for data warehousing, query optimization, and data versioning. Expertise in using Databricks platform on AWS for data processing and analytics.
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The BIDMC Department of Pathology has launched new strategic initiatives in cutting-edge Precision Diagnostics (including cancer genomics, multiplex biomarker theranostics, and computational/digital pathology.
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Insurance, reinsurance, financial, corporate, and government clients rely on Verisk’s advanced science, software, and consulting services for catastrophe risk management, insurance-linked securities and agricultural risk management.
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Utilize strong background in Data Loss Prevention (DLP), Cloud Access Security Brokers (CASB), Secure Access Service Edge (SASE), data protection products and practices and customer research and insights to represent the voice of the customer to the engineering team(s.
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We are seeking a talented and motivated Senior Computational Biologist to guide our data science initiatives at GALY. As a pioneer in our data science efforts, you will play a pivotal role in advancing our understanding of biomarkers to track product quality and streamline our processes.
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Requires a Bachelor’s degree from an accredited university or college in Medial Technology or Clinical Laboratory Science which includes successful completion of a supervised course of clinical internship in an approved hospital laboratory, or a Bachelor’s degree in an applied science (Chemistry, Biology, Biochemistry.
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data science cutting edge jobs Company: Astrazeneca in Boston, Wailuku, Hawaii
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