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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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Experience with MMM (in particular, interpreting results)Data visualization tools such as Tableau, Datorama, AlteryxAdvanced analytics software package: SQL, R, Python or other Responsibilities Client Relationship Management: gain client’s trust through insightful and reliable work outputPresent findings/insights as well as methodology/data approaches reliably to clients through a variety of different presentation opportunities.
$75,000 - $130,000 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Utilize Human Capital Management (HCM), people analytics, or enterprise and BI platforms to design, build, test and deploy reports, dashboards, data visualizations, and predictive models based on project requirements.
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As aPeople Analytics Senior Consultant,you willengage with clients to advance their people analytics capabilities across strategy, people, process, data and technology and to help them to deliver business-driven, actionable people insights across work, workforce and workplace topics (e.g., DEI, attrition, mobility, future of work, talent acquisition, compensation, performance management, etc.
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Implement data processing and transformation workflows using Databricks, Apache Spark, and SQL to support analytics and reporting requirements. Strong experience with Databricks and Apache Spark for data processing and analytics.
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Data science, machine learning, optimization models, PhD in Machine Learning, Computer Science, Information Technology, Operations Research, Statistics, Applied Mathematics, Econometrics, Successful completion of one or more assessments in Python, Spark, Scala, or R, Supervisory experience, Using open source frameworks (for example, scikit learn, tensorflow, torch.
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Walmart Connect is seeking an experienced data science leader to enable deep insights and capabilities to our clients through advanced analytics and machine learning techniques (e.g. predictive modeling, optimization, segmentation.
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Hands-on experience with data warehousing, data lakes, and analytics platforms (e.g., Snowflake, Redshift, BigQuery). · Experience in implementing data quality management processes, data governance, cataloging, and master data management principles.
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We focus on industry sectors that are central to the modern economy: Artificial Intelligence, Biotechnology, Cybersecurity, Data Analytics, Digital Media, and Fintech, as well as Occupational Therapy, Physician Assistant Studies and Speech-Language Pathology.
$1,500 - $8,000 a monthFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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The Executive Vice President, Analytics and Insights is responsible for the application of data driven insights into the Publicis Media planning, investment, and measurement process. Because we know that heat arises the intersection of complementary forces, our professionals come from myriad disciplines and backgrounds: data, analytics, and insights, content and creative production, communications and strategy, finance and marketing, and sociology, psychology, and other liberal arts disciplines.
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The Knowles and Azizi labs are seeking a joint postdoctoral research scientist with a background in computational biology, machine learning, and statistics, as well as preferably genomics and cancer biology.
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Strong quantitative/statistical skills in the field of predictive analytics with broad knowledge of regression analysis, time series analysis, Monte Carlo simulations, artificial intelligence, and data mining algorithms.
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Business Administration/Management, Mathematical Statistics, Statistics, Applied Mathematics, Financial Mathematics, Mathematics, Finance, Financial Markets, Economics and Finance, Quantitative Finance, Banking and Finance, Economics, Business Analytics.
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The role requires expertise in areas that include performance management/analytics, data exchanges, electronic medical record systems, provider workflow and processes, health information management, risk adjustment operations (particularly on the prospective side), value-based care, ICD-10, CPT and HCPCS coding principles and guidelines, and population health management.
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Experience with SQL, data visualization tools, and cloud-based analytics platforms highly preferred (Snowflake, Databricks, Redshift, BigQuery) 4+ years of experience in a customer success, account management, or consultative role within the SaaS, analytics, or business intelligence industry.
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analytics statistics data management jobs Company: Pwc in New York, NY
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