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4+ years of experience with scientific scripting languages (e.g., Python, R, SAS), as well as big data frameworks such as Hadoop MapReduce. Reporting to the Senior Manager, Data Science, the Sr. Data Scientist makes project and strategy recommendations by synthesizing their deep understanding of business functions and systems with an up-to-date understanding of what is possible in advanced analytics.
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Coalition is looking for a data scientist to join our rapidly growing data science team to solve underwriting challenges. As a Senior Data Scientist, Underwriting at Coalition you will be responsible for helping improve efficiency and drive process improvement within the organization by reviewing company procedures, collecting data, and applying analytical/ statistical techniques to streamline operations and reduce wasted time and resources.
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Delivery experience in Data Engineering with Google Cloud Platform including Big Query, Dataflow, Cloud Data Fusion, Cloud Composer, Dataproc, Cloud Pubsub, Cloud Function etc. The Data Scientist is a key role in the transformation of business.
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Senior Data Scientist. Propose, own initiatives and demonstrate though leadership that improve the efficiency and productivity of the data science Center of Excellence. They will use relevant statistical techniques, machine learning models and artificial intelligence algorithms to analyze data, design data models and derive insights to influence actions that maximize business value and effectiveness for the commercial technology segments.
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Work with customer data and contribute to the development of an AI solution from ideation to productionLeverage integrations with big data frameworks (e.g., Databricks) as needed to develop customer solutions.
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Employees in this role use knowledge of machine learning, optimization, statistics, and applied mathematics along with abilities in software engineering with a focus on distributed computing and data storage infrastructure (e.g. “Big Data.
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Title : Sr. Data Scientist – Lead - Tableau / Data Analytics / Business Analyst (IT): IV (Lead) We are seeking a passionate, data savvy Data Scientist to join the Analytics team and fuel our mission of growth through data-driven insights and opportunity discovery.
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6 years An equivalent of 6 years experience with big data, database query and analysis languages (e.g. Python, SQL, Snowflake SQL, R, Scala, SAS, Azure DataBricks) and data visualization tools (e.g. Power BI, Tableau) required.
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Extensive experience working with large complex data and proficiency in corresponding query/ programming languages such as SAS, R, Python, or SQL plus experience with other big data technologies such as Hadoop.
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Understanding of cloud data engineering and integration concepts. Lead data science projects and partner with cross functional teams to deliver end-to-end advanced analytics/machine learning solution.
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Proven Machine Learning experience and involvement in data science projects and product delivery. Understanding of exploratory data analysis, descriptive analytics, prescriptive analytics, predictive analytics and so on.
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This function manages analytic data platforms, the access, design and implementation of reporting/business intelligence solutions, and the application of advanced quantitative modeling. Data Science applies base, scientific methodologies from various disciplines, techniques and tools that extracts knowledge and insight from data to solve complex business problems on large data sets, integrating multiple systems.
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Delivery of related information software solutions such as data warehouses and integration platforms. They will work closely with business stakeholders to understand their goals and determine how data science can be used to achieve those goals.
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What Data Science contributes to Cardinal Health. The Data & Analytics Function oversees the analytics life-cycle in order to identify, analyze and present relevant insights that drive business decisions and anticipate opportunities to achieve a competitive advantage.
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Identify the data attributes that influence the outcome, define, and monitor metrics, create data narratives, and builds tools to drive decisions. 10+ years in the Healthcare industry and knowledge of clinical data preferred.
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big data jobs Title: data scientist
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