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Preferably, relevant certifications in data architecture and related technologies (CDMP, TOGAF, GCP Professional Cloud Architect, AWS Certified Solutions Architect, Azure Solutions Architect, Snowflake SnowPro Core Certification, etc.
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Data Science Consulting. Your responsibilities will include: - Developing data visualization solutions using tools like Tableau, Power BI, and/or Qlik - Cleaning and reviewing data scripts using Python and other tools - Creating additional data visualization capabilities as needed - Ensuring data quality standards are met - Developing training materials - Analyzing current processes and suggesting improvements - Organizing and leading client meetings - Summarizing and presenting information and reports to the team.
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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. The Data Science team is a highly collaborative group leading technical projects across the FDAM organization to enable effective management of investment products and services.
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Reporting to the Director of Data Science, the Data Engineer will design, develop, and manage data pipelines, databases, and data warehouses. Morgan, Lewis & Bockius LLP, one of the world’s leading global law firms with more than 4,000 lawyers and staff in 30 offices is seeking a Data Engineer, Data Science to work closely with the team to construct and maintain technical platforms that efficiently collect, manage, and transform raw case data into actionable insights for legal teams and business analysts.
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The Clinical Data Science team at Eisai, Inc., is expanding its capabilities by acquiring in-house talent related to bioinformatics, machine learning, and big data analytics for the Oncology and Neurology clinical programs.
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Additionally, the Senior Director will help build and lead a new team within Audubon Technology, operating in close partnership with the other Data & Technology teams (Data Analytics, Data Engineering, and Enterprise GIS), Audubon Conservation (including the Science Division), the Chief Strategy Integration office, and other business teams across Audubon.
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Program and data analysis skills are strongly preferred, including Python, linux/bash, and R. experience with neuroimaging tools (SPM, AFNI, FSL) is preferred but not required. The Data Analyst Associate will lead a new effort that will synthesize available data from clinical trials of classic psychedelics, MDMA, and ketamine via a series of meta-analyses and systematic reviews.
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As a lead position on the team, you will be responsible for maintaining the current analytics and data science platform on AWS + Databricks, strengthening the data observability practice and mentoring team members on the best strategies for implementing data pipelines to produce consumable data for timely, self-serve analytics.
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As a Vice President, Data Science Lead for Finance and Actuarial, you will partner with Machine Learning Engineers, Data Engineers, Data Analysts and other specialists to transform financial and actuarial processes by building state-of-the-art actuarial, financial, and behavioral models.
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Partner with business and technology stakeholders to drive future state architecture for our enterprise Data & Analytics platform and Data Science solutions. 5+ years of architecture and design experience for Data & Analytics solutions involving tools like Snowflake, Informatica / DBT, Spark/ Kafka, Power BI / Tableau, Python/Databricks.
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The Associate Director of Business Intelligence, Data Operations (hereafter "BI") will apply their years of experience in data analysis and strategic consulting as the BI / Data Governance lead on any of our myriad of enterprise clients within the health and wellness industry.
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You have strong data science skills , including thorough experience with Python data packages, classical machine learning libraries and deep learning frameworks, and data visualization.
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Bachelor of Science and 2 to 3 years of experience delivering data warehousing and/or business system solutions in a large university or similar complex organization or equivalent combination of education and experience is required.
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Advanced degree in data science, statistics, health economics, finance, public health, public policy, or other related fields. 5+ years of demonstrated experience in managing and analyzing largescale datasets using data management and statistical software (e.g., R, SAS, SQL, Stata.
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6+ years of experience in data science, analytics or quantitative intelligence analysis/digital forensics, and demonstrating progressive technical development and outcomes. Work closely with a tight-knit team of data scientists, as well as a larger team of software developers, digital forensic experts, network engineers, senior investigators, researchers, and data analysts to design, build, and optimize a Data Science platform to produce and analyze results, disseminate findings, and contribute to publications and presentations.
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data job Title: science director Company: Springboard
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