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Bachelor’s or Graduate degree, Field of Studies required: In a quantitative field or commesurat experience such at Statistics, Business Analytics, Data Science, Applied Math, Econometrics or Operations Research.
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Define company data assets (data model), spark, sparkSQL and hiveSQL jobs to populate data modelsCollaborate with cross-functional teams, including Marketing, Data Science, and IT , to understand data requirements and design efficient data pipelines for marketing data integration.
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Experience working with data science tools (e.g., Databricks); distributed compute; manipulating, analyzing, and interpreting large-scale data; and scaling analytics in the cloud (e.g., Azure.
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The qualified candidate will report to the Head of Clinical Data Science and is expected to have the following responsibilities:· Perform integrative analyses of multi-omics data from clinical trials and research cohorts, including genomics, transcriptomics, proteomics, and imaging, to identify biomarkers related to treatment mechanism and response, and potential therapeutic targets.
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The company is using the power of next-generation sequencing, population-scale clinical studies, and state-of-the-art computer science and data science to enhance the scientific understanding of cancer biology, and to develop its multi-cancer early detection blood test.
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Masters, NP, PA) or Terminal science degree desirable (PhD, PharmD, MD)Typically requires a minimum of 5 years of experience as a MSL, or in other medical affairs roles in the pharma/biotech industry or the equivalent combination of education and experience*There are multiple field-based regions in the North West. The successful candidate must live within the identified territory near an airport and be willing to travel routinely based on business needs.
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Bachelor's or Masters degree in computer science, data science, statistics, mathematics, or a related field. Understanding of data models, large datasets, business/technical requirements, BI tools, statistical programming languages and librariesDemonstrates functional knowledge of data visualization libraries such as matplotlib or ggplot2; knowledge of other visualization tools such as Microsoft Power BI , Quick Sight or Tableau.
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To that end, we seek qualified data science candidates interested in applying their skills to organizational and educational assessment challenges. Are you interested in using innovative data science to help make decisions in high-stakes assessment settings affecting individual employees, students, members of the military, and credentialed professionals.
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Under the guidance of the Community Data Manager, the Community Restorative Justice Hubs’ Coordinator, and the Executive Director of the Institute on Public Safety and Social Justice, the Data Specialist will provide data monitoring and analysis support for a network of community-based violence prevention organizations.
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The postdoc will collaborate with Cornell Lab's quantitative team to develop macro-demographic indices of avian recruitment and mortality, based on continent-wide radar data (NEXRAD), broad-scale citizen-science data (eBird) and fine-scale data from the National Ecological Observatory Network (NEON) and Phenocam.
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You are passionate about learning and applying new techniques within data science that leads to innovations. ADP is hiring a Senior Lead Data Scientist. You'll code with machine learning languages like DataBricks and Python Libraries to synthesize millions of data sets into patterns that answer ad hoc requests and then use Tableau for data visualization.
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Master's Degree in related field (e.g., Data Science, Predictive Analytics, Machine Learning, Statistics, Applied Mathematics, Computer Science) Bachelor's Degree in related field (e.g. Data Science, Predictive Analytics, Statistics, Marketing Analytics, Applied Mathematics, IT.
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Preferred Job Qualifications Experience conducting qualitative and quantitative social science research, from data collection through analysis and publication. Expertise in collecting and analyzing social science data for natural resource policy research projects.
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Data science tools/languages: R, R Studio, Python (data preparation and analysis libraries), Databricks, etc. This role involves technical and thought leadership across the spectrum of data capabilities, from data vision and strategy all the way through data science.
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Expertise in open source data science technologies such as Python, R, Spark, SQL. 5+ years of experience using AI/ML , data science software (e.g., Python-based tools) The Senior AI Engineer will have a strong technical background and demonstrated experiences in Gen AI, Data Science and AI/ML. The ideal candidate will be responsible for delivery of analytical models and AI solutions.
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data science jobs Title: data science lead Company: Springboard
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