{"version":"0.1","company":{"name":"YubHub","url":"https://yubhub.co","jobsUrl":"https://yubhub.co/jobs/skill/data-wrangling"},"x-facet":{"type":"skill","slug":"data-wrangling","display":"Data Wrangling","count":4},"x-feed-size-limit":100,"x-feed-sort":"enriched_at desc","x-feed-notice":"This feed contains at most 100 jobs (the most recently enriched). For the full corpus, use the paginated /stats/by-facet endpoint or /search.","x-generator":"yubhub-xml-generator","x-rights":"Free to redistribute with attribution: \"Data by YubHub (https://yubhub.co)\"","x-schema":"Each entry in `jobs` follows https://schema.org/JobPosting. YubHub-native raw fields carry `x-` prefix.","jobs":[{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_62b851a9-660"},"title":"Data Scientist","description":"<p>Job Title: Data Scientist</p>\n<p><strong>About the Position</strong></p>\n<p>As a Data Scientist on the platform prediction team, you will translate our probability of success predictions into measurable portfolio-level outcomes. You will architect core systems that let us rigorously evaluate signals from our AI-driven predictions in public and private equities and our internal portfolio.</p>\n<p>This role sits at the intersection of quantitative finance, healthcare data, and AI-driven drug development. If you&#39;re excited about applying portfolio construction and risk management fundamentals to one of the most consequential prediction problems in healthcare, this is the role.</p>\n<p><strong>Responsibilities</strong></p>\n<ul>\n<li>Work with the team to implement and maintain core portfolio engine: order management system, execution simulation layer, portfolio construction service, and performance tracking</li>\n<li>Design risk frameworks that quantify exposure across a portfolio of drug development bets with radically different risk profiles, timelines, and failure modes</li>\n<li>Run rigorous backtesting experiments with strict temporal constraints to evaluate Formation strategies against baseline approaches and measure marginal signal from new evidence sources</li>\n<li>Coordinate across the organization to integrate internal Formation data sources (clinical trial data, genomic evidence, real-world data) and proprietary tooling into portfolio analytics pipelines</li>\n<li>Work with product and engineering teams to build dashboards and reporting that communicate portfolio performance, risk metrics, and strategy comparisons to both technical and executive stakeholders</li>\n<li>Collaborate with the broader data science team to ensure portfolio-level evaluation feeds back into model improvement and evidence prioritization</li>\n</ul>\n<p><strong>About You</strong></p>\n<p>We are looking for a highly motivated and experienced Data Scientist to join our team. The ideal candidate will have a strong background in data science, machine learning, and software development, with a proven track record of delivering high-quality results in a fast-paced environment.</p>\n<p><strong>Requirements</strong></p>\n<ul>\n<li>MS or PhD in a quantitative field (statistics, finance, physics, computational science, engineering, or related)</li>\n<li>1-3 years in a quantitative research, data science, or analytics role , finance, healthcare, academic research, or consulting all count; substantive internships qualify</li>\n<li>Strong Python programming skills with experience in data-intensive workflows (pandas, numpy, scipy)</li>\n<li>Solid grasp of core portfolio construction and risk concepts: position sizing, rebalancing, Sharpe ratio, drawdown, volatility, benchmark comparison</li>\n<li>Demonstrated ability to work with messy, real-world datasets , comfortable with data wrangling, deduplication, and quality assessment</li>\n<li>Clear communicator who can present quantitative results to both technical peers and business stakeholders</li>\n</ul>\n<p><strong>Preferred Qualifications</strong></p>\n<ul>\n<li>Experience with backtesting frameworks or portfolio simulation (vectorbt, Backtrader, or custom implementations)</li>\n<li>Exposure to healthcare, pharma, or biotech data (clinical trials, claims data, -omics, real-world evidence)</li>\n<li>Familiarity with alternative data in a research or investment context</li>\n<li>Experience with probability-of-success modeling, drug development decision analysis, or health economics</li>\n<li>Comfort with LLMs or AI/ML pipelines in a production or research setting</li>\n<li>Familiarity with dashboard/visualization tools (Streamlit, Plotly, Dash) and pipeline orchestration (Dagster, Airflow)</li>\n</ul>\n<p><strong>Total Compensation Range:</strong> $154,500 - $202,000</p>\n<p>**Compensation Individual compensation is determined by several factors, including role scope, geographic location, and skills &amp; experience. Your offer will reflect where you fall within the range based on these considerations. In addition to base salary, we offer equity, comprehensive benefits, and generous perks. If the posted range doesn&#39;t match your expectations, we still encourage you to apply!</p>\n<p>**Where We Hire Formation Bio is prioritizing hiring in key hubs, primarily the New York City and Boston metro areas, with a hybrid model requiring 3 days per week in office. Applicants from the Research Triangle (NC) and San Francisco Bay Area may also be considered. Please apply only if you reside in these locations or are willing to relocate.</p>\n<p style=\"margin-top:24px;font-size:13px;color:#666;\">XML job scraping automation by <a href=\"https://yubhub.co\">YubHub</a></p>","url":"https://yubhub.co/jobs/job_62b851a9-660","directApply":true,"hiringOrganization":{"@type":"Organization","name":"Formation Bio","sameAs":"https://www.formation.bio/","logo":"https://logos.yubhub.co/formation.bio.png"},"x-apply-url":"https://job-boards.greenhouse.io/formationbio/jobs/7757667","x-work-arrangement":"hybrid","x-experience-level":"mid","x-job-type":"full-time","x-salary-range":"$154,500 - $202,000","x-skills-required":["Python","pandas","numpy","scipy","portfolio construction","risk management","backtesting","data wrangling","data visualization"],"x-skills-preferred":["backtesting frameworks","portfolio simulation","healthcare data","alternative data","probability-of-success modeling","drug development decision analysis","health economics","LLMs","AI/ML pipelines","dashboard/visualization tools","pipeline orchestration"],"datePosted":"2026-04-18T15:53:29.085Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"New York, NY; Boston, MA"}},"employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Healthcare","skills":"Python, pandas, numpy, scipy, portfolio construction, risk management, backtesting, data wrangling, data visualization, backtesting frameworks, portfolio simulation, healthcare data, alternative data, probability-of-success modeling, drug development decision analysis, health economics, LLMs, AI/ML pipelines, dashboard/visualization tools, pipeline orchestration","baseSalary":{"@type":"MonetaryAmount","currency":"USD","value":{"@type":"QuantitativeValue","minValue":154500,"maxValue":202000,"unitText":"YEAR"}}},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_c2b9b052-e51"},"title":"FBS - Associate Decision Scientist","description":"<p><strong>Our Role</strong></p>\n<p>As part of the Decision Science team, this role is central to connecting marketing performance with business outcomes. You&#39;ll transform data into actionable insights that guide strategic decisions across online and call center channels.</p>\n<p><strong>What You&#39;ll Do</strong></p>\n<ul>\n<li>Analyze marketing performance across channels and connect spend to customer value.</li>\n<li>Build and maintain dashboards and data models that accurately reflect marketing KPIs.</li>\n<li>Conduct deep-dive analyses to uncover drivers of performance and identify optimization opportunities.</li>\n<li>Collaborate with stakeholders from Marketing, Product, Finance, and Channel teams to support data-driven decision-making.</li>\n<li>Support broader Decision Science initiatives with analytical expertise.</li>\n<li>Translate complex data insights into clear, actionable recommendations for technical and non-technical audiences.</li>\n<li>Work with SQL dashboards and existing datasets to uncover patterns and solve business challenges.</li>\n</ul>\n<p><strong>Requirements</strong></p>\n<ul>\n<li>Strong analytical mindset with demonstrated problem-solving skills.</li>\n<li>Excellent verbal communication and listening skills; basic storytelling ability.</li>\n<li>Experience in marketing analysis and campaign performance evaluation.</li>\n<li>Familiarity with marketing KPIs and conversion funnel optimization.</li>\n<li>Proficient in SQL and data wrangling techniques.</li>\n<li>Conceptual understanding of statistical and machine learning methods.</li>\n<li>Experience with data visualization tools (e.g., Tableau, Power BI).</li>\n<li>Technical aptitude with tools such as Python, R, Snowflake.</li>\n<li>Comfortable working in fast-paced environments and adapting to new technologies.</li>\n</ul>\n<p><strong>Benefits</strong></p>\n<p>This position comes with a competitive compensation and benefits package:</p>\n<ol>\n<li>Competitive salary and performance-based bonuses</li>\n<li>Comprehensive benefits package</li>\n<li>Career development and training opportunities</li>\n<li>Flexible work arrangements (remote and/or office-based)</li>\n<li>Dynamic and inclusive work culture within a globally renowned group</li>\n<li>Private Health Insurance</li>\n<li>Pension Plan</li>\n<li>Paid Time Off</li>\n<li>Training &amp; Development</li>\n</ol>\n<p style=\"margin-top:24px;font-size:13px;color:#666;\">XML job scraping automation by <a href=\"https://yubhub.co\">YubHub</a></p>","url":"https://yubhub.co/jobs/job_c2b9b052-e51","directApply":true,"hiringOrganization":{"@type":"Organization","name":"Capgemini","sameAs":"https://jobs.workable.com","logo":"https://logos.yubhub.co/view.com.png"},"x-apply-url":"https://jobs.workable.com/view/eNBdjfQELnW1ZWvvMgykpo/hybrid-fbs---associate-decision-scientist-in-s%C3%A3o-paulo-at-capgemini","x-work-arrangement":"hybrid","x-experience-level":"mid","x-job-type":"full-time","x-salary-range":null,"x-skills-required":["SQL","data wrangling techniques","statistical and machine learning methods","data visualization tools","Python","R","Snowflake"],"x-skills-preferred":["Tableau","Power BI"],"datePosted":"2026-03-09T17:00:19.344Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"São Paulo, State of São Paulo, Brazil"}},"employmentType":"FULL_TIME","occupationalCategory":"Data Science","industry":"Finance","skills":"SQL, data wrangling techniques, statistical and machine learning methods, data visualization tools, Python, R, Snowflake, Tableau, Power BI"},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_7fc50e60-df1"},"title":"FBS - Associate Decision Scientist","description":"<p><strong>Description</strong></p>\n<p>Our client is a leading insurer with a wide range of products and services. As part of the Decision Science team, this role is central to connecting marketing performance with business outcomes.</p>\n<p><strong>About the role</strong></p>\n<p>As an Associate Decision Scientist, you&#39;ll transform data into actionable insights that guide strategic decisions across online and call center channels. You&#39;ll combine analytical rigor with storytelling to help stakeholders understand what&#39;s driving performance and how to optimize future campaigns.</p>\n<p><strong>What You&#39;ll Do</strong></p>\n<ul>\n<li>Analyze marketing performance across channels and connect spend to customer value.</li>\n<li>Build and maintain dashboards and data models that accurately reflect marketing KPIs.</li>\n<li>Conduct deep-dive analyses to uncover drivers of performance and identify optimization opportunities.</li>\n<li>Collaborate with stakeholders from Marketing, Product, Finance, and Channel teams to support data-driven decision-making.</li>\n<li>Support broader Decision Science initiatives with analytical expertise.</li>\n<li>Translate complex data insights into clear, actionable recommendations for technical and non-technical audiences.</li>\n<li>Work with SQL dashboards and existing datasets to uncover patterns and solve business challenges.</li>\n</ul>\n<p><strong>Requirements</strong></p>\n<ul>\n<li>Strong analytical mindset with demonstrated problem-solving skills.</li>\n<li>Excellent verbal communication and listening skills; basic storytelling ability.</li>\n<li>Experience in marketing analysis and campaign performance evaluation.</li>\n<li>Familiarity with marketing KPIs and conversion funnel optimization.</li>\n<li>Proficient in SQL and data wrangling techniques.</li>\n<li>Conceptual understanding of statistical and machine learning methods.</li>\n<li>Experience with data visualization tools (e.g., Tableau, Power BI).</li>\n<li>Technical aptitude with tools such as Python, R, Snowflake.</li>\n<li>Comfortable working in fast-paced environments and adapting to new technologies.</li>\n</ul>\n<p><strong>Benefits</strong></p>\n<p>This position comes with a competitive compensation and benefits package:</p>\n<ol>\n<li>Competitive salary and performance-based bonuses</li>\n<li>Comprehensive benefits package</li>\n<li>Career development and training opportunities</li>\n<li>Flexible work arrangements (remote and/or office-based)</li>\n<li>Dynamic and inclusive work culture within a globally renowned group</li>\n<li>Private Health Insurance</li>\n<li>Pension Plan</li>\n<li>Paid Time Off</li>\n<li>Training &amp; Development</li>\n</ol>\n<p style=\"margin-top:24px;font-size:13px;color:#666;\">XML job scraping automation by <a href=\"https://yubhub.co\">YubHub</a></p>","url":"https://yubhub.co/jobs/job_7fc50e60-df1","directApply":true,"hiringOrganization":{"@type":"Organization","name":"Capgemini","sameAs":"https://jobs.workable.com","logo":"https://logos.yubhub.co/view.com.png"},"x-apply-url":"https://jobs.workable.com/view/eGkj27cvQSz49b7P36NHvq/hybrid-fbs---associate-decision-scientist-in-mexico-city-at-capgemini","x-work-arrangement":"hybrid","x-experience-level":"mid","x-job-type":"full-time","x-salary-range":null,"x-skills-required":["SQL","data wrangling techniques","statistical and machine learning methods","data visualization tools","Python","R","Snowflake"],"x-skills-preferred":["Tableau","Power BI"],"datePosted":"2026-03-09T16:59:31.579Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Mexico City"}},"employmentType":"FULL_TIME","occupationalCategory":"Marketing","industry":"Finance","skills":"SQL, data wrangling techniques, statistical and machine learning methods, data visualization tools, Python, R, Snowflake, Tableau, Power BI"},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_1740b764-f59"},"title":"Senior Data Analyst","description":"<p>The Senior Data Analyst role will drive data-driven quality execution and various analytic QA approach for FC Online franchise game development through proactive collaboration with global partners and best practices.</p>\n<p><strong>What you&#39;ll do</strong></p>\n<p>As a Senior Data Analyst, you will be responsible for assembling various game development and QA data from multiple sources, conducting analysis, performing research, interacting with different internal customers, designing, documenting, and implementing analytical solutions, as well as compiling and presenting results, in graphical and written summaries, to a variety of audiences.</p>\n<ul>\n<li>Build and share analytics and BI dashboards and reports, ensuring comprehensive user documentation is provided.</li>\n<li>Maintain high-quality and reliable BI dashboards and connected data sources to support confident decision-making across the team.</li>\n</ul>\n<p><strong>What you need</strong></p>\n<ul>\n<li>Minimum 5 years of experience in data analytics roles, including data mining, data wrangling, shaping, visualization, and forecasting.</li>\n<li>Advanced skills in data visualization for charts and reports.</li>\n</ul>\n<p style=\"margin-top:24px;font-size:13px;color:#666;\">XML job scraping automation by <a href=\"https://yubhub.co\">YubHub</a></p>","url":"https://yubhub.co/jobs/job_1740b764-f59","directApply":true,"hiringOrganization":{"@type":"Organization","name":"Electronic Arts","sameAs":"https://jobs.ea.com","logo":"https://logos.yubhub.co/jobs.ea.com.png"},"x-apply-url":"https://jobs.ea.com/en_US/careers/JobDetail/QVS-Senior-Data-Analyst/212203","x-work-arrangement":"hybrid","x-experience-level":"senior","x-job-type":"full-time","x-salary-range":null,"x-skills-required":["data mining","data wrangling","data visualization"],"x-skills-preferred":["Power BI Desktop","Power BI Service"],"datePosted":"2026-02-11T15:04:11.817Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Seoul"}},"employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Technology","skills":"data mining, data wrangling, data visualization, Power BI Desktop, Power BI Service"}]}