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Job DescriptionWe are looking for a Data Scientist to join our Risk Data Science and Analytics Team. You will improve our risk controls through advanced statistical and analytical techniques.
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Leverage AWS cloud services like S3, Redshift, EMR, Glue, Lambda, and others in combination with Data Lakehouse platform/Apache Spark Integration for advanced data processing and analytics.
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We are looking for a Data Scientist to join our Risk Data Science and Analytics Team. You will improve our risk controls through advanced statistical and analytical techniques. The Risk Data Scientist will identify and prevent fraud on our most valuable sellers.
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Use client data and industry losses to perform model validation processes that enhance KCC's latest catastrophe models. Bachelor's or Master's STEM degree - computer science, data science, economics, mathematics, actuarial sciences, engineering, or physics preferred.
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We are seeking a Vice President, Data Science to join the Fidelity Digital Asset Management business and report directly to the Head of Digital Asset Operational Capabilities. Proficiency in complex data extraction or processing using Python, SQL, Snowflake.
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Demonstrated Expertise (“DE”) analyzing, evaluating, and creating data objects for the data models in Oracle SQL, MySQL, PostgreSQL, and Snowflake by transforming the raw data into clean object; performing data wrangling and data visualization using BI tools.
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The Director of the Office of Data Quality, plays a pivotal role in supporting Clinical Research for Dana-Farber/Harvard Cancer Center (DF/HCC) and Dana-Farber Cancer Institute. The Director of the Office of Data Quality will also interact closely with other DF/HCC and DFCI offices that support clinical research including: Clinical Trials Research Informatics Office, Office of Human Research Subjects, Clinical Trials Offices from all DF/HCC consortium sites, and DF/HCC Administration.
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Technical skills and qualifications in technologies such as Nifi, Python, Kafka, Databricks, Informatica, data modeling tools, big data/lakehouse/RDBMS/data warehouses, metadata management, data management principles, secure data service architecture, cloud infrastructure, containerization, secure DevOps, APM techniques, and SDLC methodologies.
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Advanced degree (Masters with 4+ years of experience or PhD) or Bachelors degree with 6+ years of experience in data science, bioinformatics, biostatistics, epidemiology, immunology, public health, or related fields.
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The Analyst will partner with teams such as Practice Transformation, Partnerships and Community Engagement, Program Analytics, External Training and others to increase efficiency and technology adoption, reduce parallel processes, expand data literacy and access to cross-functional data, improve Upstream's ability to make data-driven decisions, bolster helpdesk support, and scale our operations.
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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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Assist in consolidation of data, discussions with finance and partnering with stakeholders to meet needs. Event support includes supporting activities such meeting coordination and facilitation, creation of data packs, document collection, cost prep, event calendar tracking and assistance in building presentations for training and marketing of activities.
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In depth knowledge of modern data technologies including Snowflake, RedShift, Azure SQL/Synaspe, Databricks or similar technologies. Extensive experience or knowledge of data visualization technologies such as Tableau, Power BI, Qlik and Spotfire.
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SQL expertise and strong foundation in at least one of the main data science programming languages (Python, R, Julia, Scala, Matlab). Experience conducting quantitative research while considering principles and applying best practices of data governance, data security, and research ethics.
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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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Title: data Company: Insight Global in Boston, MA
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