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Master's degree in Industrial Engineering and Operations Research, Data Analytics or a related field plus 1 year of post-baccalaureate experience reflecting demonstrable ability in the skill set described above.
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Incorporate core data management competencies including data governance, data security and data quality. You will leverage your ability to design, build and deploy data solutions that capture, explore, transform, and utilize data to support Artificial Intelligence, Machine Learning and business intelligence/insights.
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You may possess a vast background (additional certificates help support your deep security knowledge (CISSP, GSEC, CISA, CISM, CRISC, MCSD), comprising of functional experience working in a global hybrid cloud environment, including AWS, Azure, O365, and GCP. Experience with Data Governance or Data Compliance Standards is valuable.
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Purpose of Role: Join our dynamic Supply Chain team as a Power BI Developer where you will harness data from our data lake, integrating inputs from our ERP and third-party vendors to create compelling, informative visualizations that drive business decisions.
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High proficiency on data analysis using tools like R, Python, SQL (atleast one required/Python preferred) Qualitative skills: Independent contributor/Self starter Good communication and presentation skills to present work to Executive Leadership team Able to commute to client location - 25% Extensive knowledge of various pharmaceutical industry data sources such as: IQVIA (xPonent, xPonent PlanTrak, NPA, DDD, HCOS, and Patient Level data) or Symphony data.
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At least 4 years of experience in Designing, developing, and maintaining data processing solutions using Apache Spark (Scala). Developing and implementing scalable data processing solutions using Apache Spark.
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Demonstrating intimate knowledge about designing and implementing data-driven analyses to monitor for compliance with regulations and standards, such as anti-corruption laws, data privacy regulations, and industry-specific regulations.
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To thrive in this career as a Principal Data Scientist (Generative AI) for the Innovation Labs team, you will apply your knowledge of Python and other object-oriented programming languages to ADP projects.
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Maintaining and enhancing our AWS cloud environment such as monitoring, optimization, automation, data maintenance, and security tooling. Building and managing CI/CD (Continuous Integration/Continuous Delivery) workflows and complex system integration using DevOps scripts and frameworks/tools Gitlab, Jenkins, BitBucket, Nexus, CVS and AppviewX. Hands on experience in scripting languages (shell, python, groovy), Terraform modules/templates, CloudFormation(AWS) or other Public Cloud platforms, operating systems (Linux and windows), Configuration Management tools (Chef or Puppet), network fundamentals to build automation framework.
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This role interacts with numerous teams, including health economic and outcome research, market access, commercial operations and strategy, payer and employer relations, business development and clinical trials, data and statistical programmers, biostatisticians, project management, IT and external vendors.
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Prior experience with data visualization tools and libraries such as Power BI, Tableau, Matplotlib, Seaborn etc. Analyze and derive value from data through the application methods such as mathematics, statistics, computer science, machine learning, data visualization and other quantitative methods.
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Working knowledge of Nielsen/IRI/Circana data sets. Be able to cut through the data clutter and deliver unique insights to help drive our growth agenda. Translate data and information into actionable insights and business recommendations utilizing best in class “story telling” and engaging communication.
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Perform detailed reviews of reporting data, tax form validations, notifications and other FATCA, CRS, Chapter 3 and 61 requirements. Our spectrum of Global Information Reporting services range from FATCA, CRS, chapter 3 and 61 tax compliance globally, tax form validation services, Qualified Intermediary and Withholding Partnerships regimes, technology development in these areas, consulting services, controversy, risk management and audit readiness for these regimes.
$84,980 - $193,440 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Performing data review, including development of data quality indicators (DQIs) and eQAPPs, use of electronic data validation programs, and assessment of usability. Developing investigation approaches and project, data, and measurement quality objectives (i.
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Minimum of 5 years of proven experience as a Data Engineer, with strong command of Databricks/Spark. MedInsight is a subsidiary of Milliman; a global, employee-owned consultancy providing actuarial consulting, retirement funding and healthcare financing, enterprise risk management and regulatory compliance, data analytics and business transformation as well as a range of other consulting and technology solutions.
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data job Title: research associate in Whippany, NJ
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