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Master's degree in industrial/organizational psychology, Data Analytics, or Statistics. 6+ years of experience in Data Science, Credit Risk, Fraud Risk, Marketing Analytics, Optimization, Operations or HR/People Analytics, Modeling or related.
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Experience with advanced knowledge of psychometrics, econometrics, and biometrics such as validation of health measurement scales, longitudinal data analysis, missing data methods, multiple comparisons techniques, cost-effectiveness analysis, generalized linear models, meta-analysis, real-world data analysis, and conjoint analysis.
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Why Business Technology Solutions For anyone who wants to use technology and data to make a difference in people’s lives, shape the digital transformation of a leading biopharmaceutical company, and secure sustainable career growth within a diverse, global team: we’re ready for you.
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Coach and train sales partners on all levels of category management topics including consumer dynamic data, syndicated data, market structure data, shopper insights, opportunity gaps, competitive landscapes, and measurements to optimize shelf space.
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The People Analytics Business Partner plays a pivotal role in driving strategic decision-making through the analysis and interpretation of people data. 6 + years of experience in a People Analytics/Data Science role.
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Qualifications: Bachelor’s or Master’s Degree in Data Science, Computer Science, Computational Chemistry, or related relevant discipline typically with 5 to 10 (BS) or 2 to 5 (MS) years related industry experience.
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Big 4 experience (Ernst & Young, PwC, Deloitte, or KPMG) Data analytics experience (PowerBI, Tableau) Experience within healthcare, retail, data analytics, supply chain, etc.
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Evaluates exploratory and regulated nonclinical toxicity studies to determine the potential toxicity of experimental compounds in different nonclinical species, based on interpretation of pathology data (e.g., necropsy, histopathology, clinical pathology, electron microscopy, IHC.
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Become familiar with data solutions, big-data architecture & concepts, use of big data tools (Hive, Impala, Python, R etc.) Review and approve data specifications, solution architecture, process flows, and data sharing with client internal Privacy, Compliance & OEC teams.
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5+ years of data visualization experience (Tableau, Power BI, Looker, D3. Collaborate with the IT Audit and Data Analytics Director and Audit Managers to understand the in-scope business risks and associated business processes to develop data-driven objectives to assess risks and controls.
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Knowledge and use of statistical packages such as SQL, SAS, Python, or other tools to mine, extract complex consumer and transaction level data on big data and/or cloud computing platforms.
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Adhering to the Company's FCA and data protection obligations by accurately collecting all customer contact and vehicle data, in order to maximise the quality and content of the customer database.
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You Have: 8+ years of experience in batch and streaming ETL using Spark, Python, Scala, Snowflake or Databricks for Data Engineering or Machine Learning workloads. 5+ years orchestrating and implementing pipelines with workflow tools like Databricks Workflows, Apache Airflow, or Luigi 3+ years of experience prepping structured and unstructured data for data science models.
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Principal IT Auditors need to be flexible and gain adequate (preferably expert) knowledge to make effective use of Ace's various data warehouses - including SAP, Power BI, Webfocus, Infopac, Planview, ADW, WMOS, various data dashboards, etc.
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Build high-performing clinical data processing frameworks leveraging Google Cloud Platform, GCP Shared Services like Google Healthcare API, Big Query, and HL7 FHIR store. 5+ years of hands-on experience working with "Big Data" technologies and experience with traditional RDBMS (e.g., Teradata, Oracle, DB2), SQL, HQL (Hive Query Language), Python, Unix Shell scripting, JSON, and XML.
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big data jobs Title: hadoop consultant Company: Kpmg in Lake Forest, IL
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