{"schemaVersion":"jobsearcher.job.v1","id":"886df8199ba62aad59d40a6d","url":"https://jobsearcher.com/jobs/886df8199ba62aad59d40a6d","canonicalUrl":"https://jobsearcher.com/jobs/886df8199ba62aad59d40a6d","title":"Data Scientist - Data Analytics & Engineering - Data Analyst V","description":"Job Description\n\nAbout the Team The Reality Labs Customer Experience (CX) team at Meta is dedicated to improving customer experiences across the entire customer journey. As a Customer Experience Analyst, you will be part of a global practice focused on understanding and learning from our customers. You will leverage customer insights to drive business improvements and promote customer-centric decision-making throughout the organization. You will play a pivotal role in boosting customer satisfaction and loyalty by analyzing feedback, identifying areas for improvement, and collaborating with cross-functional teams to develop and implement strategies that enhance the overall customer experience. By combining your strong background in CX/VoC, expertise in data analysis and storytelling, and passion for customer centricity, you will help shape the future of our customer experience program and contribute to the growth and success of our organization.\r\nResponsibilitiesWork with large and complex datasets to solve challenging problems using various analytical and statistical approaches.\r\nSynthesize and analyze customer feedback from multiple sources (e.g., surveys, digital analytics, behavioral, and operational data) across end-to-end customer journeys to identify trends, pain points, and areas for improvement.\r\nApply advanced statistical modeling, machine learning, and natural language processing (NLP) to analyze large-scale customer support interactions (e.g., chat logs, call transcripts, support tickets) and extract actionable insights.\r\nUse clustering and segmentation techniques to identify common customer issues and recommend targeted solutions or self-service resources.\r\nDevelop and maintain robust reporting and dashboards to track customer experience metrics and KPIs.\r\nIntegrate customer feedback data with other transactional, operational, and behavioral data sources to create a comprehensive picture of customer experience drivers.\r\nAdvocate for customers and influence corrective actions through periodic and ad-hoc reporting, proactively evangelizing insights among key stakeholders.\r\nCollaborate with cross-functional teams to identify root causes of customer issues and develop action plans to remediate and measure effectiveness.\r\nCommunicate complex technical concepts to non-technical stakeholders.Required QualificationsDegree in Analytics, Statistics, Mathematics, Computer/Data Science, Engineering, or a related field.\r\n6 years of experience in data analytics, data science, or related fields.\r\n3 years of experience in customer experience, customer support, or customer insights analytics.\r\nProficiency in crafting compelling stories using complex data sources to provide actionable insights tailored to stakeholders needs.\r\nExperience creating reports, visualizations, and dashboards and communicating results and analyses to technical and non-technical audiences.\r\nExperience working with Customer Experience or Voice of Customer metrics (NPS, CSAT, etc.), surveys, and customer feedback.\r\nStrong programming skills in Python, R, and SQL. ? Proficiency in data visualization tools (e.g., Tableau, Power BI). ? Proficiency in utilizing statistical analytics techniques.\r\nDemonstrated ability to work collaboratively with cross-functional teams. Preferred Qualifications\r\nMaster's or Ph.D. Degree in a quantitative field. ? Familiarity with consumer electronics or retail business.\r\nProficiency in conducting predictive analytics or running ML/AL techniques.\r\nExperience with machine learning libraries such as Pandas, scikit-learn, TensorFlow, or PyTorch.EEO:\r\nMindlance is an Equal Opportunity Employer and does not discriminate in employment on the basis of Minority/Gender/Disability/Religion/LGBTQI/Age/Veterans.","company":"Mindlance","rawCompany":"mindlance","city":"Menlo Park","state":"CA","isRemote":false,"isActive":false,"createdAt":"2026-11-05T02:06:40.733Z","occupations":[{"code":"15-2051.00","title":"Data Scientists","slug":"data-scientists"},{"code":"13-1161.00","title":"Market Research Analysts and Marketing Specialists","slug":"market-research-analysts-and-marketing-specialists"},{"code":"15-2051.01","title":"Business Intelligence Analysts","slug":"business-intelligence-analysts"}],"industries":[{"code":"541910","title":"Marketing Research and Public Opinion Polling","slug":"marketing-research-and-public-opinion-polling"},{"code":"541690","title":"Other Scientific and Technical Consulting Services","slug":"other-scientific-and-technical-consulting-services"},{"code":"541512","title":"Computer Systems Design Services","slug":"computer-systems-design-services"}],"jobPosting":{"@context":"https://schema.org","@type":"JobPosting","title":"Data Scientist - Data Analytics & Engineering - Data Analyst V","description":"Job Description\n\nAbout the Team The Reality Labs Customer Experience (CX) team at Meta is dedicated to improving customer experiences across the entire customer journey. As a Customer Experience Analyst, you will be part of a global practice focused on understanding and learning from our customers. You will leverage customer insights to drive business improvements and promote customer-centric decision-making throughout the organization. You will play a pivotal role in boosting customer satisfaction and loyalty by analyzing feedback, identifying areas for improvement, and collaborating with cross-functional teams to develop and implement strategies that enhance the overall customer experience. By combining your strong background in CX/VoC, expertise in data analysis and storytelling, and passion for customer centricity, you will help shape the future of our customer experience program and contribute to the growth and success of our organization.\r\nResponsibilitiesWork with large and complex datasets to solve challenging problems using various analytical and statistical approaches.\r\nSynthesize and analyze customer feedback from multiple sources (e.g., surveys, digital analytics, behavioral, and operational data) across end-to-end customer journeys to identify trends, pain points, and areas for improvement.\r\nApply advanced statistical modeling, machine learning, and natural language processing (NLP) to analyze large-scale customer support interactions (e.g., chat logs, call transcripts, support tickets) and extract actionable insights.\r\nUse clustering and segmentation techniques to identify common customer issues and recommend targeted solutions or self-service resources.\r\nDevelop and maintain robust reporting and dashboards to track customer experience metrics and KPIs.\r\nIntegrate customer feedback data with other transactional, operational, and behavioral data sources to create a comprehensive picture of customer experience drivers.\r\nAdvocate for customers and influence corrective actions through periodic and ad-hoc reporting, proactively evangelizing insights among key stakeholders.\r\nCollaborate with cross-functional teams to identify root causes of customer issues and develop action plans to remediate and measure effectiveness.\r\nCommunicate complex technical concepts to non-technical stakeholders.Required QualificationsDegree in Analytics, Statistics, Mathematics, Computer/Data Science, Engineering, or a related field.\r\n6 years of experience in data analytics, data science, or related fields.\r\n3 years of experience in customer experience, customer support, or customer insights analytics.\r\nProficiency in crafting compelling stories using complex data sources to provide actionable insights tailored to stakeholders needs.\r\nExperience creating reports, visualizations, and dashboards and communicating results and analyses to technical and non-technical audiences.\r\nExperience working with Customer Experience or Voice of Customer metrics (NPS, CSAT, etc.), surveys, and customer feedback.\r\nStrong programming skills in Python, R, and SQL. ? Proficiency in data visualization tools (e.g., Tableau, Power BI). ? Proficiency in utilizing statistical analytics techniques.\r\nDemonstrated ability to work collaboratively with cross-functional teams. Preferred Qualifications\r\nMaster's or Ph.D. Degree in a quantitative field. ? Familiarity with consumer electronics or retail business.\r\nProficiency in conducting predictive analytics or running ML/AL techniques.\r\nExperience with machine learning libraries such as Pandas, scikit-learn, TensorFlow, or PyTorch.EEO:\r\nMindlance is an Equal Opportunity Employer and does not discriminate in employment on the basis of Minority/Gender/Disability/Religion/LGBTQI/Age/Veterans.","datePosted":"2026-11-05T02:06:40.733Z","dateModified":"2026-11-05T02:06:40.733Z","hiringOrganization":{"@type":"Organization","name":"Mindlance","sameAs":"https://jobsearcher.com"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Menlo Park","addressRegion":"CA","addressCountry":"US"}},"identifier":{"@type":"PropertyValue","name":"JobSearcher","value":"886df8199ba62aad59d40a6d"},"url":"https://jobsearcher.com/jobs/886df8199ba62aad59d40a6d"}}