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Google Data Analytics Professional Certificate, Power BI Data Analyst Associate, AWS Certified Data Analytics, Enterprise Data Warehouse certifications, Palantir, Client Side performance metrics tools e.g. Quantum Metrics.
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Alteryx, Banking, Business, Critical Thinking, Data Acquisition, Data Analysis, Data Management, Data Operations, Data Quality, Decision Making, Financial Products, Leadership, Management Reporting, Microsoft Power BI, People Management.
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Experience of working with data science platforms - especially DataIKU or databricks. Build efficient, resilient and innovative solutions using modern data analytics technologies (on our strategic technology stack - Dataiku, Power BI and Plotly Dash), that enable analysts, inform decision making and drive revenue generation.
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The PositionThe Science Engagement Division at the Adler Planetarium (Adler) is seeking candidates for a Postdoctoral Fellowship position in the field of Data Science, with an emphasis on Remote Sensing and Geospatial Analysis.
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Master's degree in economics, biostatistics, sociology, psychology, political science or other social science, survey methodology, data science, or related field is required.
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Experience leveraging complex data to drive business decisions, hands on experience in data science methodologies (predictive analytics, machine learning, patient level data triggers) using R, Pytong, Databricks and deep knowledge of Qlik, PowerBI, Tableau for visualization.
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Manage and maintain vendor budgets for assigned clinical trials and process flows and data exchanges with global pharmacovigilance for clinical trial serious adverse events. Complete trial-specific Statement of Work (SoW) based on parameters supplied by Master Service Agreement (MSA) for Electronic Data Capture (EDC), electronic Patient Reported Outcomes (ePRO) and Interactive.
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We want Data Science/Machine Learning/Data Analyst and Java Full Stack candidates. Knowledge of Statistics, Gen AI, LLM, Python, Computer Vision, data visualization tools. Currently, we are looking for entry-level software programmers, Java full-stack developers, Python/Java developers, data analysts, data scientists, and machine learning engineers for full-time positions with clients.
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The department collaborates with the Statistics and Data Science Department on areas of synergy and intersection and with all NORC subject matter areas (economics, markets and the workforce; education training and learning; global development; health and well-being; society, media, and public affairs), in addition to leading its own projects.
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Proven expertise with data visualization tools (e.g., Tableau, Power BI). EDUCATION AND EXPERIENCE YOU’LL BRING Required:Bachelor's Degree in Data Science, Computer Science, Statistics with minimums of8 years of data engineering with a strong focus on data architecture and data ingestion, or a Master’s Degree in Data Science, Computer Science, Statistics, and6 years of relevant experience.
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Deliver best-in-class insights, showcasing our application of data visualization (Power BI, Tableau, Excel) and via analytic tools (R, SAS, JMP, Python, Spark), telling concise, actionable stories.
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Hands on experience with modern cloud data warehouse and engineering for one or more of the following cloud providers - GCP (Big Query, Vertex, Cognitive Services), Snowflake, Azure (Synapse, Dynamo, Cosmos, Azure ML, Power BI), AWS (Redshift, Sage maker), Tableau;Possessing a certification(s) in one of the following is a big plus – GCP/AWS/Azure/ data or ML engineering.
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Experience in analytical and data visualization tools such as Power BI, Tableau, or Qlik. Act as a technical product owner for the cloud data platforms, including Azure Databricks, and collaborate with other product owners and managers to deliver value to the customers.
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The Director leads a cross-disciplinary team of social scientists and ecologists, data and spatial analysts, and engagement and environmental specialists to set and implement priorities, achieve science-driven objectives, as well as represent the Center to partners, funders, and donors.
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Proficient with software used for data mining, statistical analysis, and data visualization (SAS, SQL, R, SPSS, Qlik, Power BI, Tableau, etc.) in order to construct a robust, accurate, 360-view data environment that is unique to each clientDemonstrated performance excellence in one or more of the following computer languages: SQL, SAS, R, PythonEmploying techniques such as a case-control study, regression analyses, principal component analyses, clustering exercises, propensity scoring, classification, ROI calculation, etc.
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data science power jobs Company: Hp in Chicago, IL
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