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Reporting to the Director of Product, the Senior Data Analyst will deliver high-quality strategic and tactical analysis; collaborating with the product, engineering, data science, business intelligence, member experience and operations teams.
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Graduate degree in bioinformatics, computational biology, computer science, computer engineering, statistics, mathematics, or a similar field. This role supports biomedical research projects through the use of state-of-the-art genomic, computational, data science, and machine learning tools to understand immune mechanisms governing lung injury and repair.
$55,128 - $77,525 a yearFull-timeExpandApply NowActive JobUpdated 2 days ago - UpvoteDownvoteShare Job
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Bachelor's degree in sustainability, energy management, engineering, environmental science, data science, or a related field with 3+ years of experience. Knowledge of sustainability reporting frameworks (e.g., GHG Protocol - Greenhouse Gas Protocol SBTi - Science Based Targets initiative TCFD - Task Force on Climate-related Financial Disclosures GRI - Global Reporting Initiative CDP - Carbon Disclosure Project.
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About the job Human Resource Senior Data Science Analyst. Experience in Credit Risk, Fraud Risk, Marketing Analytics, Optimization, Operations Analytics, Modeling/Data Science or related field.
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Requirements: Bachelor's in: Economics, Computer Science, Mathematics, Statistics, Data Science, or Business Intelligence. At least one to three years of experience data analysis, data engineering or data modeling.
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Minimum of a bachelor’s degree in related field (examples include but are not limited to Data Science, Sustainability or Environmental Science, Engineering, Economics, Urban Planning, Public Policy, etc.
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You will work on projects that focus on machine learning, business intelligence, data engineering, and/or visualization, delivering excellence at the intersection of data science, research and business domain expertise.
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Bachelors degree or Masters degree in Computer Science, Computer Engineering, Electrical Engineering, Information Systems, IT. For data Science/Machine learning Positions.
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Proficiency with advanced data science techniques, such as neural networks, natural language processing (NLP), or unsupervised learning methods. Define scalable data model requirements and collaborate closely with Data Engineering for successful implementation and maintenance.
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You will work closely with their data engineering, data science and business intelligence teams to support data pipelines, manage data infrastructure and ensure that data is accessible and reliable for analysis.
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Work collaboratively and develop effective relationships with key internal stakeholders at all levels of the organization, such as data engineering, client management, business development, and leadership.
$150ExpandApply NowActive JobUpdated 2 days ago - UpvoteDownvoteShare Job
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QualificationsRequired Bachelor's degree preferably in Engineering, Data Science (Mathematics, Statistics or Economics) Engineering, Data science or another quantitative field (i.e. mathematics, statistics, economics, etc.
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Bachelors or Master's degree in data science, computer science, computer engineering, digital forensics, cyber security, telecommunications, information assurance or security studies.
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College degree in Data Analytics and Informatics, Statistics, Mechanical Engineering, Statistical Process Control, Computer Science, related field, or equivalent work experience is required.
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Candidates should also have experience working closely with engineering and data science teams to drive automated fraud detection and demonstrate a deep understanding of fraud typologies, controls, and ability to mitigate fraud risk.
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data science engineering jobs Title: data analyst in Chicago, Ada-county, Idaho
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