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Extensive experience in Design, implementation, and maintenance of data pipelines using Python, pyspark on Databricks. Extensive experience in Databricks Data engineering (Job Runs, Data Ingestion and Delta Live Tables.
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Extensive experience with Python and related data science libraries (scikit-learn, pandas, Tensorflow, Keras, etc.) The Senior Data Scientist will work alongside counterparts from across the company including marketing, purchasing, pricing, and technology to develop data science methods that address S&S’s hardest business problems.
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Extensive experience in data mapping, data architecture, and data modeling on Databricks. AWS, DataBricks, Python, Pyspark. Previous experience with data visualization tools (Power BI, Tableau.
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Develop, maintain, customize and enhance reports, dashboards, and data apps using Power BI, Python Streamlit, and other data visualization tools to track key performance metrics. Experience working SQL, Python, Node.js, or PHP for data retrieval and manipulation.
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The Senior Data Scientist occupies a key role in helping the organization make decisions using advanced analysis and machine learning. In this capacity, you will have the opportunity to work directly with senior business leaders and substantial influence in the evolution of S&S’s data science capabilities.
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AWS cloud practitioner certification is good to have
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Position Summary – Senior Data Scientist. Bachelor's degree in computer science, mathematics, statistics, or another quantitative field; master’s degree preferred. Track record of getting data science models into production and demonstrating impact on business results.
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Bachelors’ degree in Risk Management, Finance, Mathematics, Business or related with at least 12 years of related experience or equivalent (Inland Marine highly preferred). Prefer candidates in the Central and Mountain Time zones with experience with Inland Marine rating methodology and cat modeling tools in a production environment.
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Be the architect: Craft reliable and efficient backend systems using Python and Flask, integrating seamlessly with diverse third-party APIs. Python mastery: A deep understanding of Python, Flask, and related frameworks.
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Our Data Engineering teams build scalable data platforms and fault-tolerant pipelines for modern analytics and AI services using Python, SQL, Linux, Bash, and AWS, GCP, or Azure data storage and warehousing services.
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Master’s degree in Computer Science, Statistics, Data Science/Analytics, Management Information Systems, Mathematics, Natural Science, Economics, Engineering or similar quantitative field.
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Experience working with Python, SQL, data warehouse systems, data lake systems, and data pipelines in a cloud environment. Experience delivering advance analytics solutions, reporting, and managing big data.
$100,000 - $140,000 a yearFull-timeExpandApply NowActive JobUpdated 3 days ago - UpvoteDownvoteShare Job
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Position Summary - Senior Data Scientist The Senior Data Scientist occupies a key role in helping the organization make decisions using advanced analysis and machine learning. RequirementsBachelor's degree in computer science, mathematics, statistics, or another quantitative field; masters degree preferred.
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Bachelor's degree in Computer Science, Statistics, Data Science/Analytics, Management Information Systems, Mathematics, Natural Science, Economics, Engineering or similar quantitative field.
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Experience coding in various programming languages (such as R, Python, SQL, or JAVA) to conduct various phases of data science projects. IOR BASIC REQUIREMENTS GS-1529 Mathematical Statistician (Data Scientist): You must have a degree that included courses in mathematics and statistics totaling at least 24 semester hours.
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bachelors degree python data jobs Title: data analyst analytics specialist in Bolingbrook, IL
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