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πŸ”₯ General Application
Posted 14 minutes ago

πŸ“ USA

πŸ” Nonprofit Tech

🏒 Company: Ameelio

  • Requirements are not specified in the job description
  • The company is particularly interested in individuals with experience in: Government Technology, Public Policy & Research, Partnerships & Growth, Product & Engineering, and Operations & Implementation.
  • Responsibilities are not specified in the job description
  • The company is looking for builders, strategists, technologists, and mission-driven doers to help reshape the justice system.

AWSBackend DevelopmentLeadershipProject ManagementSoftware DevelopmentSQLAgileBusiness IntelligenceCloud ComputingData AnalysisData MiningFrontend DevelopmentProduct ManagementUI DesignOperations ManagementProduct DevelopmentCI/CDRESTful APIsSoftware Engineering

Posted 14 minutes ago
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πŸ”₯ Graduate Product Analyst
Posted about 3 hours ago

πŸ“ Poland, Italy

🧭 Full-Time

πŸ” Software Development

🏒 Company: YouGovπŸ‘₯ 501-1000πŸ’° $293,437,993 Post-IPO Debt over 1 year agoπŸ«‚ Last layoff 5 months agoInternetDatabaseAd TargetingConsultingBusiness IntelligenceInternet of ThingsBig DataMarket ResearchAnalyticsSoftware

  • An understanding of what product analytics in a digital environment encompasses, along with a strong interest in analytics and a desire to learn on the job
  • An analytical mindset and a passion for digital.
  • Recently graduated with a degree in IT, a numerate discipline or social sciences, or are still studying and are available for full time employment
  • Learn: Task-based training across Google’s BI stack: Google Analytics 4, Tag Manager, Looker Studio and BigQuery
  • Learn: Task-based training in analysing transactional / server-side data, stored in company data warehouses, using SQL
  • Build: coaching in report building and presenting actionable insights to stakeholders
  • Involvement: in digital marketing analytics e.g. analysis of data hosted in CRMs and marketing automation / ad / social media platforms
  • Observe: gain an understanding of how product analytics is utilised by a wide array of stakeholders, and how data privacy regulations impact digital analytics
  • Communicate: Participate in team meetings, and co-present insight sessions

SQLData AnalysisData MiningETLJavascriptGoogle AnalyticsJiraProduct AnalyticsCommunication SkillsAnalytical SkillsMicrosoft ExcelMicrosoft Office SuiteData visualization

Posted about 3 hours ago
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πŸ“ United States of America

🧭 Full-Time

πŸ” Biotechnology, Pharmaceutical, Healthcare

🏒 Company: clarivate_careers

  • PhD (or equivalent work experience) in Bioinformatics, Computational or Systems Biology, Statistics, Machine Learning, Computer Science (latter two as applied to solving problems in areas of biology or medicine) or a related field.
  • A minimum of five years of relevant work experience in bioinformatics or computational biology in professional setting, preferably in a biotechnology, pharmaceutical, or healthcare setting.
  • Experience working in a customer-oriented consulting environment: an ability to earn customer trust through effective communication, efficiency, integrity, and deep technical expertise.
  • Proficiency in statistical programming languages (R), Unix/Linux shell with a strong understanding of statistics and biological data analysis.
  • Conduct data analysis and synthesis to support project objectives using established methods and advanced analytical tools to generate actionable insights.
  • Assist in designing and executing research methodologies to address business challenges and provide recommendations.
  • Collaborate with consulting teams in problem-solving and the development of innovative solutions tailored to customer needs and strategic goals.
  • Contribute to the development of client presentations and reports by organizing data, visualizing findings, and ensuring accuracy, relevance and clarity in all communications.
  • Engage in customer interactions and meetings, with oversight, to understand customer needs, gather feedback, and ensure alignment with project objectives.
  • Support proposal development by contributing to specific elements of the proposal.
  • Collaborate with senior consultants on project execution, coordinating tasks, managing timelines, and ensuring the successful delivery of high-quality consulting services.

AWSDockerPythonSQLApache AirflowApache HadoopCloud ComputingData AnalysisData MiningETLFlaskImage ProcessingKafkaKubernetesMachine LearningNumpyPyTorchAlgorithmsData engineeringData scienceData StructuresRDBMSNosqlPandasTensorflowCI/CDRESTful APIsTerraformJSONData visualizationAnsibleData modelingData analyticsData management

Posted about 4 hours ago
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πŸ“ United States

🏒 Company: Wealth Recruitment, LLC

  • Master’s degree, or PhD, in Chemistry or a related field.
  • Teaching experience (strong preference for educators and researchers).
  • Exceptional attention to detail and ability to spot inconsistencies.
  • Strong written and verbal communication skills in English.
  • Audit chemistry-related content used to train AI models.
  • Evaluate AI-generated responses for accuracy, clarity, and consistency.
  • Assess and refine prompts used for AI training.
  • Provide expert-level feedback to improve AI-generated content.
  • Work 40 hours per week (M-F, 8-hour days preferred).
  • Participate in 2-3 weekly meetings to discuss project goals and findings.

Artificial IntelligenceData AnalysisData MiningMachine LearningAlgorithmsAnalytical SkillsAttention to detailWritten communicationProblem-solving skillsResearchVerbal communication

Posted about 15 hours ago
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πŸ“ United States

🧭 Full-Time

πŸ” Software Development

🏒 Company: FieldguideπŸ‘₯ 101-250πŸ’° $30,000,000 Series B 12 months agoArtificial Intelligence (AI)Document Management

  • 5+ years of engineering experience
  • Excitement for product-focused application of ML/AI - this will be a production-focused role
  • Exceptional technical proficiency with at least one programming language, particularly Python or TypeScript
  • Understanding of ML concepts like supervised/unsupervised/self-supervised learning, neural networks and deep learning
  • Understanding of modern ML/AI technologies, including natural language processing (NLP) and LLMs (e.g., GPT-3+, open source models, etc.), RAG architectures, and their applications
  • Experience architecting systems and data pipelines that can handle the ingestion, digitalization, storage, and retrieval of document-heavy data sets, including document processing, search, and classification
  • Experience in developing, testing, evaluating and deploying ML models
  • Ability to collaborate on all aspects of product strategy and UX
  • Experience shaping an early stage tech stack and product, and engineering organization
  • Be an essential technical contributor at a Series B company as it scales.
  • Play a leadership role on the end-to-end development of features, specifically in regards to making architectural decisions and trading off different approaches.
  • Bring a mindset of continuous improvement to your work. You’ll be responsible for making our technology and processes better over time.
  • Understand how to optimize for iteration speed while maintaining a high quality bar and technical rigor.

AWSBackend DevelopmentGraphQLPostgreSQLPythonSQLArtificial IntelligenceCloud ComputingData AnalysisData MiningFull Stack DevelopmentGitKerasMachine LearningNumpyPyTorchReact.jsSoftware ArchitectureTypeScriptData engineeringREST APIPandasReactTensorflowCI/CDDevOpsNodeJSSoftware Engineering

Posted about 19 hours ago
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πŸ”₯ Product Analyst
Posted about 21 hours ago

πŸ“ United States

🧭 Full-Time

πŸ’Έ 110100.0 - 165600.0 USD per year

πŸ” Real Estate, Mortgage

🏒 Company: KiaviπŸ‘₯ 251-500πŸ’° $400,000,000 Debt Financing 5 months agoLendingFinancial ServicesReal EstateFinTech

  • Strong analytical and problem-solving skills, good communication and collaboration abilities, basic understanding of product management concepts
  • Self-starter with outstanding critical thinking, analytical, and verbal and written communication skills with an ability to facilitate divergent POVs toward convergence
  • Strong customer and business orientation in which outcomes of improved customer experiences benefit operational efficiency of internal teams
  • Strong interpersonal and relationship-building skills, with the ability to establish credibility with stakeholders across levels and lead through influence
  • Organized, independent, detail-oriented, and adaptable multi-tasker comfortable working in a fast-paced environment with competing projects and priorities
  • Ability to interpret data and tell a compelling story by connecting customer problems, industry dynamics, and business needs via written form, visuals, etc
  • Experience implementing success metrics for various business verticals
  • Typically requires 1-2 years of relevant product, customer experience subject matter experience and a bachelor's degree in a related field
  • Real Estate and Mortgage experience
  • Tableau, spreadsheets, and understanding of data analysis and structured database concepts
  • Experience working in a remote environment
  • Participates in all stages of the product development cycle and XFN-projects
  • Synthesize and prioritize user needs and own the narrative of what problem should be solved, for whom, how, and why it matters
  • Write user stories and acceptance criteria, translating business & customers requirements to technical requirements and vice versa
  • Work collaboratively with engineering, design, and other key stakeholders
  • Organize and facilitate User Acceptance Testing with internal stakeholders
  • Define success metrics and analyze performance, balancing quantitative and qualitative insights to drive decisions and iterate quickly
  • Deep dive into internal systems to understand limitations, problems, propose solutions, gain alignment, manage dependencies, and successfully rollout solutions
  • Conduct pre and post-launch research and monitoring and implementation of feedback
  • Unblock engineering team on questions during the development process.
  • For the more complex or strategic work items, work closely with more senior PMs
  • Cross-functional communications and expectation management of internal leaders
  • Assist other PMs and Product Designers with customer research scheduling, interviews, user database management, in-app notifications/surveys, etc

SQLBusiness AnalysisData AnalysisData MiningProduct ManagementSCRUMUser Experience DesignJiraTableauProduct DevelopmentProduct AnalyticsAPI testingREST APICommunication SkillsAnalytical SkillsCollaborationMicrosoft ExcelProblem SolvingCustomer serviceMicrosoft OfficeAgile methodologiesJSONData visualization

Posted about 21 hours ago
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πŸ“ United States

🧭 Full-Time

πŸ” Healthcare

🏒 Company: MachinifyπŸ‘₯ 51-100πŸ’° $10,000,000 Series A over 6 years agoArtificial Intelligence (AI)Business IntelligencePredictive AnalyticsSaaSMachine LearningAnalytics

  • 10+ years of relative Medical coding and claims auditing experience
  • Experienced in analyzing payment information against Medicare and payer billing guidelines to assess the accuracy and appropriateness of payments
  • Deliver timely high-quality work within a fast pace and ambiguous environment
  • Strong attention to detail; investigative and deductive reasoning skills are a must
  • Ability to navigate an autonomous work environment and manage competing priorities
  • Must be able to make decisions and conclusions when working with limited information using reference materials and strong problem-solving skills.
  • Proficiency in using productivity tools (e.g., Excel, Word, Gmail, Google Sheets, Slack, etc.); intermediate spreadsheet skills level, to include: ability to manipulate a spreadsheet, use formulas, work with pivot tables, run macros within existing spreadsheets; some training provided.
  • Certifications in medical coding and billing (CCS, CPC, RHIA, RHIT etc)
  • Develop new auditing concepts by utilizing experience and knowledge of the claims payment cycle, contracts, policies and guidelines
  • Conduct comprehensive reviews of post pay claims using any and all available resources. Including but not limited to...claims data and client adjudication systems, payment guidelines and compliance with regulatory requirements, contract, pricing systems, medical records, authorizations, etc.
  • Serve as a resource and expert in claims billing and payment for the data teams and other departments
  • Develop and refine reimbursement policies and procedures in collaboration with the team
  • Proactively keep up to date with the latest healthcare billing guidelines and regulations
  • Achieve the expected level of accuracy and quality set by the client for the auditing concept, for valid claim identification and documentation
  • Identifies potential claims outside of the concept where additional recoveries may be available. Suggest and develop high-quality, high-value concepts and or process improvement, tools, etc.
  • Additional responsibilities as assigned or needed to support the business.

SQLData AnalysisData MiningCommunication SkillsAnalytical SkillsAttention to detailComplianceProblem-solving skillsRisk Management

Posted about 22 hours ago
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πŸ“ United States

🏒 Company: Leading Path ConsultingπŸ‘₯ 11-50Information ServicesConsultingInformation Technology

  • Read and write Mandarin and/or Farsi at a high level and need to be able to translate from Mandarin and/or Farsi to English
  • Experience supporting cyber activities
  • Ability to utilize an array of targeting tools
  • Experience assimilating and evaluating large amount of data
  • Strong analytic writing and briefings skills
  • Provide timely, concise, and accurate feedback and analysis to the sponsor and be prepared to present data and findings on as needed basis
  • Draft and coordinate data and findings which require minimal editing in sponsor system
  • Assist in the preparation of responses to senior level tasking/requirements

CybersecurityData AnalysisData MiningAnalytical SkillsWriting

Posted 1 day ago
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πŸ“ United States

πŸ’Έ 144000.0 - 180000.0 USD per year

πŸ” Software Development

🏒 Company: HungryrootπŸ‘₯ 101-250πŸ’° $40,000,000 Series C almost 4 years agoArtificial Intelligence (AI)Food and BeverageE-CommerceRetailConsumer GoodsSoftware

  • 5+ years of experience in ETL development and data modeling
  • 5+ years of experience in both Scala and Python
  • 5+ years of experience in Spark
  • Excellent problem-solving skills and the ability to translate business problems into practical solutions
  • 2+ years of experience working with the Databricks Platform
  • Develop pipelines in Spark (Python + Scala) in the Databricks Platform
  • Build cross-functional working relationships with business partners in Food Analytics, Operations, Marketing, and Web/App Development teams to power pipeline development for the business
  • Ensure system reliability and performance
  • Deploy and maintain data pipelines in production
  • Set an example of code quality, data quality, and best practices
  • Work with Analysts and Data Engineers to enable high quality self-service analytics for all of Hungryroot
  • Investigate datasets to answer business questions, ensuring data quality and business assumptions are understood before deploying a pipeline

AWSPythonSQLApache AirflowData MiningETLSnowflakeAlgorithmsAmazon Web ServicesData engineeringData StructuresSparkCI/CDRESTful APIsMicroservicesJSONScalaData visualizationData modelingData analyticsData management

Posted 2 days ago
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πŸ“ Mexico, Brazil, Argentina, Colombia, Puerto Rico

🧭 Full-Time

πŸ” B2B SAAS

🏒 Company: Activate Talent

  • Strong analytical and problem-solving skills.
  • Proficiency in SQL
  • Experience with Looker or other data visualization tools.
  • Familiarity with statistical concepts and techniques.
  • Self-starter with a proven ability to quickly learn new technologies, tools, and analytical methodologies independently.
  • Passion for B2B SAAS.
  • Collect and clean data from various sources, including databases, APIs, and spreadsheets.
  • Perform exploratory data analysis to identify patterns, trends, and insights.
  • Build dashboards and reports to visualize data and communicate findings to stakeholders.
  • Support the development of data-driven models and algorithms.
  • Conduct ad-hoc data analysis to answer specific business questions.
  • Collaborate with other team members to ensure data quality and consistency.
  • Stay up-to-date on the latest data analysis techniques and tools.

SQLData AnalysisData MiningETLAlgorithmsData engineeringData StructuresREST APIPandasCommunication SkillsAnalytical SkillsProblem SolvingReportingData visualizationTechnical supportData modelingData analyticsData managementEnglish communicationA/B testing

Posted 2 days ago
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