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As a dedicated Data Scientist I for Fraud, you will translate business problems into applied statistical, machine learning, simulation, and optimization solutions to inform actionable business insights and drive business value through automation, revenue generation, and expense and risk reduction.
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Familiarity with machine learning, GIS, remote sensing, and spatial data analysisBig-data experience is a plus. These may include field efforts using in-situ data collection or rely on data synthesis including LIDAR and high resolution remote sensing.
$48,000 - $53,000Full-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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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 client Demonstrated performance excellence in one or more of the following computer languages: SQL, SAS, R, Python Employing techniques such as a case-control study, regression analyses, principal component analyses, clustering exercises, propensity scoring, classification, ROI calculation, etc.
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Specialized experience for this position must include: Experience with data science and analytical methods from conducting machine learning, Natural Language Processing, and technical procedures such as, solution design, implementation, and deployment.
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Working with machine learning and natural language processing libraries such as: scikit-learn, tensor flow, keras, numpy, pandas, CoreNLP, spacY, nltk, pyTorch, NetworkX, or genism; and Building data pipelines and deploying ML models and data visualization techniques.
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Stantec is seeking a qualified, self-motivated, and entrepreneurial Environmental Scientist/Ecologist to join our team. Environmental Scientist/Ecologist Task Lead - ( 240001GI ) Stantec is seeking a qualified, self-motivated, and entrepreneurial Environmental Scientist/Ecologist to join our team.
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Implements programming languages to develop and test architectures that enables data operations for predictive (i.e., machine learning/AI) or prescriptive modeling. The Data Engineer is primarily focused on analytical processes with ability to implement database solutions and best practices in the realm of machine learning projects.
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Work with a team of developers with deep experience in machine learning, distributed microservices, and full stack systems. Be part of a group of engineers building data pipelines using big data technologies (Spark, Flink, Kafka, Snowflake, AWS Big Data Services, Snowflake, Redshift) on medium to large scale datasets.
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Design and develop advanced analytics and machine learning capabilities on the data platform. Design and optimize data storage, processing, and querying performance for large-scale datasets using industry best practices.
$110,500 - $138,500 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Tipalti is the only company handling both global partner payments and accounts payable workflows for high-velocity companies across the entire financial operations cycle: onboarding and managing global suppliers, instituting procurement controls, streamlining invoice processing and approvals, executing payments around the world, and reconciling payables data across a multi-subsidiary finance organization.
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Public cloud, artificial intelligence, machine learning, mobile, Ability to evaluate current and emerging technologies to recommend the best solutions for the future state architecture Experience of Atlassian Suite (Jira, Confluence, Atlas, Jira Align, In-depth knowledge Amazon Web Services, Google Cloud Platform, or Microsoft Azure secure architecture experience Preferred qualifications, capabilities, and skills CEH, LPT, OSCP, GPEN, GXPN, and/or CompTIA PenTest.
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This person will also need to build, manage, and maintain MEP monitoring tools utilizing Vertiv Sitescan and/or APC Data Center Expert/IT Advisor for performance, availability, reliability and security of IT resources.
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Analyze feedback and performance data to refine and improve learning solutions. Proficiency: Creating training materials and using e-learning authoring tools (, Articulate Storyline, Adobe Captivate.
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2+ years in cloud data engineering experience in Azure Experience with Azure Data Factory, Azure Databricks and Azure Machine learning tools is a plus. You'll be an empowered member of a team of data engineers who build data pipelines into various source systems, rest data on the PepsiCo Data Lake, and enable exploration and access for analytics, visualization, machine learning, and product development efforts across the company.
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Senior Data Engineer (Python, Kafka, Databricks, AWS) Utilize programming languages like Java, Scala, Python and Open Source RDBMS and NoSQL databases and Cloud based data warehousing services such as Redshift and Snowflake.
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