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MS, or PhD in Computer Science, Computational Mathematics, Applied Mathematics, Engineering, Data Science, Statistics or equivalent. Data warehouses and file stores such as Snowflake, RedShift, Teradata, BigQuery, Amazon S3, Amazon RDS, Azure Synapse, Databricks Lakehouse, etc.
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Business Intelligence (BI), Database Design, Data Engineering, Data Modeling, Data Science, Data Visualization, Machine Learning, Project Management, Software Development, Stakeholder Relationship Management.
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Partner on and serve as the data science and technical lead for demand forecasting and the burgeoning demand planning function. Bachelor’s degree in analytical field (Business, Economics, Finance, Mathematics, or Data Science) or equivalent experience.
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Director, Data Science & Advanced Analytics, Ecosystem Risk Programs. PhD in Computer Science, Operations Research, Statistics, or highly quantitative field (or equivalent experience) with strength in Deep Learning, Machine Learning, Data Mining, Statistical or other mathematical analysis.
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Education - Graduation from an accredited four year college or university with a major in Biology, Chemistry, or Forensic Science related area and successful completion of twelve (12) semester or equivalent credit hours covering biochemistry, genetics, and molecular biology or (molecular genetics) AND a three-semester credit hour (or equivalent) college-level statistics course from an accredited university or a program approved by the Commission is also required.
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A degree(s) in business, communications, marketing, public relations, government affairs, political science, technical area of specialty or relevant field may be substituted per LCRA guidelines for certain years of experience.
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Bachelor's Degree Management Information Systems, Finance, Mathematics, Economics, Computer Science, Engineering, Statistics, Public Health, Epidemiology or related quantitative discipline. Master's Degree Master' s Degree Management Information Systems, Finance, Mathematics, Economics, Computer Science, Engineering, Statistics, Public Health, Epidemiology or related quantitative discipline.
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Bachelor's degree in Finance, Accounting, Economics, Computer Science, Data Analytics or related fields from a four-year university. Experience with reporting, data and dashboarding platforms - Microsoft Power BI, SAP BOBJ, Tableau, Alteryx, Snowflake.
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Experience with at least one data integration tool (e.g., Talend, Informatica Cloud, Pentaho, Jitterbit, Boomi, and MuleSoft) Must Have : Salesforce Data Migration, ETL Testing. Salesforce certifications: Salesforce Integration architect, data architect, admin.
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Big Data Tools: Kubernetes (K8s), Hadoop, Spark, Postgres, Databricks, Azure cloud offerings including (Azure Synapse, ADLS, Azure Functions) Design and build an HR data platform, based on modern data warehousing/lakehouse practices, integrating data from multiple source systems, including cloud and on-premises applications such as Workday, employee listening tools, learning systems and broad HR technology stack.
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Direct the creation and maintenance of Company Core Safety Information (CCSI) and ensure implementation of CCSI in all Reference Safety Information (RSI) including Investigator Brochures (IBs), Company Core Data Sheet (CCDS), national labels and other associated product labeling.
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An advanced degree in a quantitative field, such as statistics, econometrics, finance, mathematics, computer science, data science, engineering, business. This role also requires candidate to have the capability in building effective relationship with stakeholders from various teams such as data, privacy, legal, security, data science, engineering, product, compliance, audit.
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Experiences with the design, development, and operations management for on-premise, cloud, SaaS-based data warehousing and analytics solutions such as Microsoft Azure (must have), AWS, SAP, and Snowflakes.
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Bachelor's or Master's degree in wildlife biology, rangeland ecology, environmental science, forestry, botany, soil science, or a closely related natural resource field. Support data collection efforts for wetland delineations and wetland functional/conditional assessments under applicable agency regulations.
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The post-doc will be involved in data collection in older adult patient populations, community outreach, data analysis, and data presentation, and will collaborate with clinical scientists at Baylor University and Baylor Scott & White Healthcare.
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data science jobs Title: science director in Austin, TX
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