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Of Civil/Environmental Engineering experience (specifically managing water/wastewater infrastructure projects)Must have solid experience & expertise in Utility Projects Engineering & Project ManagementMust have proficiency in Microsoft Office and/or Google Workspace applications (Sheets, Docs, etc.
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5 years of relevant experience, which can include a combination of management consulting, commercial analytics, and/or real-world evidence generation within the pharmaceutical industry; using common analytic toolsets (e.g., R, Python, SQL.
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At least five (5) years of analytics development experience for a health provider, health plan or accountable care organization including:Experience working in a health plan and/or Health Delivery System focused on medical economicsExperience working in healthcare provider analytics related to managed care contracting, population management, clinical or financial decision supportStrong data mining skills using tools like SQL, R, Python, SAS, etc.
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5+ years hands-on experience with related/complementary open source software platforms and languages (e.g. Java, Linux, Apache, Perl/Python/PHP, Chef, Scala) 5+ years of experience working on cloud platforms - Pivotal Cloud Foundry and Public Cloud AWS/Azure/Google Cloud.
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Between the founders, they have 4 PhDs, degrees from Harvard, Oxford, Mila, and Edinburgh, and industry experience at DeepMind, Google, Nvidia, Dropbox, Yext, and more. [Bonus] Launch of an app to the Apple and/or Google app stores.
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Experience with cloud platforms like AWS, Azure, or Google Cloud. Familiarity with other integration platforms (e.g., Dell Boomi, TIBCO) is a plus. Description & Requirements We are seeking an experienced MuleSoft Developer Lead to design, develop, and lead integration projects using the MuleSoft Anypoint Platform.
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Experience Requirements + 3+ years relevant professional development experience + Strong knowledge of database management systems (SQL and NoSQL Databases) + Experience with Amazon Web Service deployments (e.g., RDS, docDB, ECS, EC2, VPC, S3) + Proficiency with multiple programming languages including Python software engineering skills.
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Advanced knowledge of R, SQL, and Python. Basic experience with versioning software such as Git.- Working knowledge of data visualization software such as Tableau, Looker, or Domo.- Fundamental knowledge of statistics with some hands-on experience in A/B testing, regression analysis, and ANOVA testing.
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Reporting to the Vice President of Digital Marketing, the ideal candidate should have some experience working with technology platforms, such as Content Management Systems (Wordpress, Drupal), Analytics platforms (Google Analytics, Adobe Analytics), Advertising platforms (Google Ads, Meta Ads Manager), and/or Service Management software (JIRA, Freshdesk.
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Developing predictions models in R/Python, and operationalizing prediction models created by data scientists' team, implementing enterprise data catalog, full data lineage, and will also help with integrating financial transactions, cash flows, external auditors' requests, and accounting reporting the Enterprise Data Warehouse.
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Experience and understanding of campaign management platforms including advanced knowledge of – Media Ocean (PRISMA, DDS), Google Campaign Manager (CM360), Google Ads, Facebook Ads Manager, and Programmatic DSPs (e.g. DV360, The Trade Desk, Yahoo.
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1-3+ years of full-time digital optimization experience required (e.g., Google AdWords/Adsense, DSP/Display Trading, Facebook Ads, LinkedIn Ads, PMDs, mobile analytics, site optimization) Refine your expertise in leveraging digital media channels for maximum impact – including social (Facebook, Twitter), video everywhere (Advanced TV: YouTube, Hulu, TV Networks, FireTV, Roku, etc), programmatic media via DSPs (audio, display/native, Digital Out of Home/DOOH, etc) with an emphasis on search (SEM/PPC: Google, Bing, etc.
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This role requires a deep Linux operating system and application administration skill set, proficiency in Python, and solid experience with configuration management/IaC. Successful candidates should also have exceptional organizational, communication, and project management skills, as well as the ability to troubleshoot complex technical issues.
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Hands-on experience with cloud platforms (e.g., AWS, Azure, Google Cloud) and their associated services. Manage cloud infrastructure on platforms like AWS, Azure, or Google Cloud, ensuring cost-effective and scalable solutions.
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What you’ll need: 7+ years of related experience with a Master’s or PhD degreeProven advanced analytical and technical skills in conducting sophisticated data analysis and building loss forecasting models and projectionsBusiness acumen and work experience in the consumer lending business (loans or credit cards)Proficient in Python, SQL & Tableau Strong communication and presentation skills.
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