{"version":"0.1","company":{"name":"YubHub","url":"https://yubhub.co","jobsUrl":"https://yubhub.co/jobs/skill/decision-science"},"x-facet":{"type":"skill","slug":"decision-science","display":"Decision Science","count":3},"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_fdfe04d9-2a3"},"title":"Sr. Data Scientist - Capacity Data","description":"<p>CoreWeave is seeking a Sr. Data Scientist to lead the transition to a centralized, production-grade database system. The successful candidate will design, build, and maintain robust end-to-end data pipelines and transformations that aggregate data from across the organization. They will also enable advanced analytics, support AI agent development, and cross-functional synthesis.</p>\n<p>Key responsibilities include:</p>\n<ul>\n<li>Architect scalable pipelines to unify disparate metrics into a single, accurate source of truth</li>\n<li>Enable advanced analytics through real-time and near-real-time dashboards for operational capacity and demand managers</li>\n<li>Support AI agent development by ensuring data pipelines are architected to synthesize complex data and inform high-stakes infrastructure decisions</li>\n<li>Cross-functional synthesis with Data Center Operations, Supply Chain, Product, and Finance to ensure technical pipelines accurately reflect the physical realities of data center bring-up and node health</li>\n</ul>\n<p>The ideal candidate will have a Master&#39;s or PhD in Computer Science, Computer Engineering, Operations Research, or a related quantitative field, with 6+ years of professional experience in data engineering or data science. They will have expert-level proficiency in Python and SQL, and experience with modern data stack tools and software development best practices.</p>\n<p>In addition to a competitive salary, CoreWeave offers a variety of benefits, including medical, dental, and vision insurance, company-paid life insurance, voluntary supplemental life insurance, short and long-term disability insurance, flexible spending account, health savings account, tuition reimbursement, employee stock purchase program, mental wellness benefits, family-forming support, paid parental leave, flexible PTO, catered lunch, and a casual work environment.</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_fdfe04d9-2a3","directApply":true,"hiringOrganization":{"@type":"Organization","name":"CoreWeave","sameAs":"https://www.coreweave.com","logo":"https://logos.yubhub.co/coreweave.com.png"},"x-apply-url":"https://job-boards.greenhouse.io/coreweave/jobs/4663051006","x-work-arrangement":"hybrid","x-experience-level":"senior","x-job-type":"full-time","x-salary-range":"$143,000 to $210,000","x-skills-required":["Python","SQL","Modern data stack tools","Software development best practices","Data engineering","Data science"],"x-skills-preferred":["Domain knowledge of AI infrastructure","Background in high-complexity environments","Decision science"],"datePosted":"2026-04-18T15:46:49.592Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Livingston, NJ / New York, NY / Sunnyvale, CA"}},"employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Technology","skills":"Python, SQL, Modern data stack tools, Software development best practices, Data engineering, Data science, Domain knowledge of AI infrastructure, Background in high-complexity environments, Decision science","baseSalary":{"@type":"MonetaryAmount","currency":"USD","value":{"@type":"QuantitativeValue","minValue":143000,"maxValue":210000,"unitText":"YEAR"}}},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_b5b3e93a-b84"},"title":"Senior Software Engineer, Decision Science","description":"<p>At KoBold, we believe that a modern scientific computing stack will enable systematic mineral exploration and materially improve our rate of mineral discovery. This role is a key ingredient to this strategy. As a member of our scientific computing team, you will apply decision science techniques in order to build scalable systems to help make high-speed, high-quality decisions for our mineral exploration projects. Collaborating with our exceptional team of data scientists, software engineers, and geologists, you will tackle complex scientific problems head-on and collectively pave the way for discoveries of vital energy transition metals like lithium, copper, nickel, and cobalt. Together we can shape the future of mineral exploration and contribute to building a sustainable world.</p>\n<p>Responsibilities:</p>\n<ul>\n<li>Architect, implement, and maintain decision science libraries that will be used in KoBold&#39;s mineral exploration analyses.</li>\n<li>Build tooling to increase the velocity of our decision making, including enabling rapid prototyping in Jupyter notebooks; build experimentation, evaluation, and simulation frameworks; turning successful R&amp;D into robust, scalable pipelines; and organizing ML models and their outputs for repeatability and discoverability.</li>\n<li>Apply–and coach team members to use–engineering best practices such as writing robust, testable and composable code</li>\n<li>Collaborate with data scientists, geoscientists and engineers to invent the modern decision science technology for mineral exploration</li>\n<li>Occasional travel to exploration sites around the world to observe the impact of scientific computing on KoBold&#39;s exploration products and design new technologies to further discovery. Travel is approximately twice per year depending on project needs.</li>\n</ul>\n<p>Qualifications:</p>\n<ul>\n<li>At least 5 years of experience in the field of decision science with a strong software engineering focus, though most great candidates will have closer to 10.</li>\n<li>Track record of building production quality data processing solutions or tooling that have delivered business value</li>\n<li>Proficiency with foundational concepts of ML, including statistical, traditional and deep-learning approaches</li>\n<li>Proficiency in Python, ideally including array-based packages such as xarray and numpy</li>\n<li>Deep experience with measured scientific data</li>\n<li>Experience in visualizing scientific data for domain experts</li>\n<li>Experience in MLops and in the making of robust ML systems</li>\n<li>Drive to increase the velocity and effectiveness of our data scientists in both experimental and production workflows</li>\n<li>Capacity to dive deep on novel challenging problems in applying decision science to mineral exploration, including understanding a complex domain of geology and mineral exploration practices as well as working with limited, disparate and noisy data sources</li>\n<li>Collaborative attitude to work with stakeholders with different backgrounds (data scientists, geoscientists, software engineers, operations)</li>\n</ul>\n<p>Work practices and motivation:</p>\n<ul>\n<li>Ability to take ownership and responsibility of large projects.</li>\n<li>Intellectual curiosity and eagerness to learn about all aspects of mineral exploration, particularly in the geology domain. Open to working directly with geologists in the field. Enjoys constantly learning such that you are driving insights and innovations.</li>\n<li>Ability to explain technical problems to and collaborate on solutions with domain experts who aren’t software developers. A strong communicator who enjoys working with colleagues across the company.</li>\n<li>Excitement about joining a fast-growing early-stage company, comfort with a dynamic work environment, and eagerness to take on a range of responsibilities.</li>\n<li>Keen not just to build cool technology, but to figure out what technical product to build to best achieve the business objectives of the company.</li>\n<li>Ability to independently prioritize multiple tasks effectively.</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_b5b3e93a-b84","directApply":true,"hiringOrganization":{"@type":"Organization","name":"KoBold Metals","sameAs":"https://koboldmetals.com/","logo":"https://logos.yubhub.co/koboldmetals.com.png"},"x-apply-url":"https://job-boards.greenhouse.io/koboldmetals/jobs/4624637005","x-work-arrangement":"remote","x-experience-level":"senior","x-job-type":"full-time","x-salary-range":"$170,000 - $215,000","x-skills-required":["Decision Science","Software Engineering","Python","Machine Learning","Data Processing","Scientific Computing","Geology","Mineral Exploration"],"x-skills-preferred":[],"datePosted":"2026-04-17T12:40:45.504Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Remote"}},"jobLocationType":"TELECOMMUTE","employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Technology","skills":"Decision Science, Software Engineering, Python, Machine Learning, Data Processing, Scientific Computing, Geology, Mineral Exploration","baseSalary":{"@type":"MonetaryAmount","currency":"USD","value":{"@type":"QuantitativeValue","minValue":170000,"maxValue":215000,"unitText":"YEAR"}}},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_3ce239f9-855"},"title":"Data Scientist, Marketing Innovation","description":"<p><strong>Data Scientist, Marketing Innovation</strong></p>\n<p><strong>Location</strong></p>\n<p>San Francisco</p>\n<p><strong>Employment Type</strong></p>\n<p>Full time</p>\n<p><strong>Location Type</strong></p>\n<p>Hybrid</p>\n<p><strong>Department</strong></p>\n<p>Data Science</p>\n<p><strong>Compensation</strong></p>\n<ul>\n<li>$293K – $325K • Offers Equity</li>\n</ul>\n<p>The base pay offered may vary depending on multiple individualized factors, including market location, job-related knowledge, skills, and experience. If the role is non-exempt, overtime pay will be provided consistent with applicable laws. In addition to the salary range listed above, total compensation also includes generous equity, performance-related bonus(es) for eligible employees, and the following benefits.</p>\n<ul>\n<li>Medical, dental, and vision insurance for you and your family, with employer contributions to Health Savings Accounts</li>\n</ul>\n<ul>\n<li>Pre-tax accounts for Health FSA, Dependent Care FSA, and commuter expenses (parking and transit)</li>\n</ul>\n<ul>\n<li>401(k) retirement plan with employer match</li>\n</ul>\n<ul>\n<li>Paid parental leave (up to 24 weeks for birth parents and 20 weeks for non-birthing parents), plus paid medical and caregiver leave (up to 8 weeks)</li>\n</ul>\n<ul>\n<li>Paid time off: flexible PTO for exempt employees and up to 15 days annually for non-exempt employees</li>\n</ul>\n<ul>\n<li>13+ paid company holidays, and multiple paid coordinated company office closures throughout the year for focus and recharge, plus paid sick or safe time (1 hour per 30 hours worked, or more, as required by applicable state or local law)</li>\n</ul>\n<ul>\n<li>Mental health and wellness support</li>\n</ul>\n<ul>\n<li>Employer-paid basic life and disability coverage</li>\n</ul>\n<ul>\n<li>Annual learning and development stipend to fuel your professional growth</li>\n</ul>\n<ul>\n<li>Daily meals in our offices, and meal delivery credits as eligible</li>\n</ul>\n<ul>\n<li>Relocation support for eligible employees</li>\n</ul>\n<ul>\n<li>Additional taxable fringe benefits, such as charitable donation matching and wellness stipends, may also be provided.</li>\n</ul>\n<p>More details about our benefits are available to candidates during the hiring process.</p>\n<p>This role is at-will and OpenAI reserves the right to modify base pay and other compensation components at any time based on individual performance, team or company results, or market conditions.</p>\n<p><strong><strong>About the Role</strong></strong></p>\n<p>We’re hiring a Data Scientist to support our Marketing Innovation pod, a cross-functional team building the internal tools and agentic systems that fundamentally change how we do marketing and serve customers.</p>\n<p>We build product-like systems that:</p>\n<ul>\n<li>Deliver high-touch, consultative experiences to millions of SMB customers through agentic lifecycle and sales experiences</li>\n</ul>\n<ul>\n<li>Adapt messaging, creative, and outreach using real-time behavioral signals</li>\n</ul>\n<ul>\n<li>Power intelligent routing, targeting, and engagement decisions at scale, with minimal human-in-the-loop</li>\n</ul>\n<p>In this role, you’ll be embedded with Product and Engineering to ensure these systems drive measurable business outcomes.</p>\n<p><strong><strong>What You’ll Do</strong></strong></p>\n<ul>\n<li>Define success metrics for agentic marketing systems (e.g., incremental pipeline generated, conversion lift, rep hours saved), including leading indicators that enable weekly iteration.</li>\n</ul>\n<ul>\n<li>Design measurement and experimentation frameworks for always-on systems across lifecycle automation, creative generation, targeting, and routing — using holdouts, staged rollouts, and quasi-experimental methods when needed.</li>\n</ul>\n<ul>\n<li>Partner with PMs and engineers to instrument, evaluate, and monitor launches so every meaningful release has observability and a credible read on incremental value.</li>\n</ul>\n<ul>\n<li>Translate behavioral and model-driven signals into decisions: what to scale, where to intervene, and how to allocate human and compute attention across segments.</li>\n</ul>\n<ul>\n<li>Build repeatable decision loops (pre-launch criteria → post-launch read → next action) that convert analysis into shipped changes.</li>\n</ul>\n<p><strong><strong>What We’re Looking For</strong></strong></p>\n<ul>\n<li>10+ years in a quantitative role (e.g., Data Science, Decision Science), ideally at a product-led company supporting B2B growth, with exposure to SMB or scaled self-serve motions.</li>\n</ul>\n<ul>\n<li>Deep grounding in experimentation, causal inference, and applied statistics, with experience designing and interpreting tests in real-world, always-on environments.</li>\n</ul>\n<ul>\n<li>Strong technical fluency in SQL and Python, including working directly with messy, incomplete behavioral data to quantify impact.</li>\n</ul>\n<ul>\n<li>Proven track record of translating results into shipped decisions (product, lifecycle, targeting, routing).</li>\n</ul>\n<ul>\n<li>Strong business judgment and a bias toward action: able to scope ambiguous problems, define success, and move quickly from insight to strategy.</li>\n</ul>\n<ul>\n<li>Excellent communicator and partner to PMs/Engineers; comfortable influencing stakeholders and presenting recommendations to senior leadership.</li>\n</ul>\n<p><strong><strong>Nice to Have</strong></strong></p>\n<ul>\n<li>Familiarity with large language models and AI-assisted operations platforms</li>\n</ul>\n<ul>\n<li>Experience working on operational automation and decision systems (routing, prioritization, optimization)</li>\n</ul>\n<ul>\n<li>Experience operating in early-stage or rapidly evolving environments, including building measurement and experimentation frameworks from scratch.</li>\n</ul>\n<p><strong>About OpenAI</strong></p>\n<p>OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity.</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_3ce239f9-855","directApply":true,"hiringOrganization":{"@type":"Organization","name":"OpenAI","sameAs":"https://jobs.ashbyhq.com","logo":"https://logos.yubhub.co/openai.com.png"},"x-apply-url":"https://jobs.ashbyhq.com/openai/7f299784-2c75-4d73-99e5-1e5043ec7b48","x-work-arrangement":"hybrid","x-experience-level":"senior","x-job-type":"full-time","x-salary-range":"$293K – $325K • Offers Equity","x-skills-required":["Data Science","Decision Science","SQL","Python","Experimentation","Causal Inference","Applied Statistics","Product-Led Company","B2B Growth","SMB","Self-Serve Motions"],"x-skills-preferred":["Large Language Models","AI-Assisted Operations Platforms","Operational Automation","Decision Systems","Routing","Prioritization","Optimization"],"datePosted":"2026-03-06T18:28:43.292Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"San Francisco"}},"employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Technology","skills":"Data Science, Decision Science, SQL, Python, Experimentation, Causal Inference, Applied Statistics, Product-Led Company, B2B Growth, SMB, Self-Serve Motions, Large Language Models, AI-Assisted Operations Platforms, Operational Automation, Decision Systems, Routing, Prioritization, Optimization","baseSalary":{"@type":"MonetaryAmount","currency":"USD","value":{"@type":"QuantitativeValue","minValue":293000,"maxValue":325000,"unitText":"YEAR"}}}]}