{"version":"0.1","company":{"name":"YubHub","url":"https://yubhub.co","jobsUrl":"https://yubhub.co/jobs/title/data-scientist"},"x-facet":{"type":"title","slug":"data-scientist","display":"Data Scientist","count":23},"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_5d8e90b6-0f5"},"title":"Data Scientist","description":"<p>We&#39;re looking for a Data Scientist to join our team. 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You&#39;ll work with a variety of data science roles and teams across Stripe, and will be aligned to the most relevant team based on your background.</p>\n<p><strong>Responsibilities</strong></p>\n<ul>\n<li>Work closely with a specific part of the business to optimize our systems and leverage data to make strategic business decisions</li>\n<li>Use techniques like machine learning, statistical modeling, causal inference, optimization, experimentation, and all forms of analytics to ensure that the company strategy, products, and user interactions make smart use of our rich data</li>\n<li>Partner deeply with teams across Stripe to ensure that our users, our products, and our business have the models, data products, and insights needed to make decisions and grow responsibly</li>\n</ul>\n<p><strong>Who you are</strong></p>\n<p>We&#39;re looking for someone who meets the minimum requirements to be considered for the role. If you meet these requirements, you are encouraged to apply. 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As a Data Scientist, you will work closely with our Product, Finance, Payments, Security, Risk, Growth and Go-to-Market teams to optimize our systems and leverage data to make strategic business decisions.</p>\n<p><strong>Responsibilities</strong></p>\n<ul>\n<li>Partner with cross-functional teams to ensure that our users, products, and business have the models, data products, and insights needed to make decisions and grow responsibly.</li>\n<li>Analyze data, build machine learning and statistical models, and run experiments to drive impact.</li>\n<li>Influence how our products work, how our business works, and how our go-to-market motions operate.</li>\n</ul>\n<p><strong>Requirements</strong></p>\n<ul>\n<li>PhD + 3 years, MS/MA + 6 years or BS/BA + 8 years of data science/quantitative modeling experience.</li>\n<li>Proficiency in SQL and a computing language such as Python or R.</li>\n<li>Strong knowledge and hands-on experience in several of the following areas: machine learning, statistics, optimization, product analytics, causal inference, and/or experimentation.</li>\n</ul>\n<p><strong>Preferred qualifications</strong></p>\n<ul>\n<li>Experience deploying models in production and adjusting model thresholds to improve performance.</li>\n<li>Experience designing, running, and analyzing complex experiments or leveraging causal inference designs.</li>\n<li>Experience with distributed tools such as Spark, Hadoop, etc.</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_fbd26168-f11","directApply":true,"hiringOrganization":{"@type":"Organization","name":"Stripe","sameAs":"https://stripe.com/","logo":"https://logos.yubhub.co/stripe.com.png"},"x-apply-url":"https://job-boards.greenhouse.io/stripe/jobs/5895430","x-work-arrangement":"remote","x-experience-level":"senior","x-job-type":"full-time","x-salary-range":null,"x-skills-required":["SQL","Python","R","Machine Learning","Statistics","Optimization","Product Analytics","Causal Inference","Experimentation"],"x-skills-preferred":["Distributed Tools","Spark","Hadoop"],"datePosted":"2026-04-18T15:48:35.112Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Toronto"}},"jobLocationType":"TELECOMMUTE","employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Technology","skills":"SQL, Python, R, Machine Learning, Statistics, Optimization, Product Analytics, Causal Inference, Experimentation, Distributed Tools, Spark, Hadoop"},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_e3fcaaa2-fd4"},"title":"Data Scientist","description":"<p>You will play a critical role in our design, fabrication, and test flywheel as a Data Scientist in the quantum integrated circuit design team. 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You will work at the intersection of product, research, and engineering. You will analyze user behavior, optimize product performance, and design data-driven features that enhance our AI product suite.</p>\n<p>This role is ideal for someone who thrives in a dynamic environment, enjoys tackling ambiguous problems, and wants to influence our product roadmap directly. 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This is a high-impact, high-agency role which reports directly to the CTO. Modern AI-assisted development tools make this role possible, where the data scientist can now do real engineering, too.</p>\n<p><strong>Responsibilities:</strong></p>\n<ul>\n<li>Collaborate closely with other teams (Sales, Finance, Product, Marketing, and more) to translate problems and needs into action-oriented data solutions</li>\n<li>Design, build, and maintain data pipelines for reliable ingestion and transformation</li>\n<li>Rapidly prototype and iterate using AI coding tools to accelerate development and reduce toil</li>\n<li>Drive rigor and best practices, with a focus on data quality, consistency, and transparency</li>\n<li>Develop and deploy statistical models and machine learning, where appropriate</li>\n<li>Build clear, decision-oriented visualizations and dashboards for stakeholders across multiple departments</li>\n<li>Own selected production data systems: selection, orchestration, monitoring, and tuning</li>\n<li>Communicate and shepherd key data results and analysis to executives</li>\n</ul>\n<p><strong>Requirements:</strong></p>\n<ul>\n<li>Experience with B2B SaaS-relevant data, including Salesforce and financial metrics</li>\n<li>Strong communication skills and ability to work effectively across multiple departments and stakeholder groups</li>\n<li>Ownership mindset and ability to deliver end-to-end outcomes independently; must be a &quot;startup type&quot;</li>\n<li>Demonstrated ability to design data pipelines and work with imperfect, evolving data sources</li>\n<li>Sharp attention to data quality, including validation, anomaly detection, and root-cause analysis of inconsistencies</li>\n<li>Strong proficiency in Python and SQL; experience with modern data stack tools (e.g., dbt, Airflow, Spark, or equivalents, a plus)</li>\n<li>Experience with data visualization tools (e.g., Tableau, Looker, or similar)</li>\n<li>Some familiarity with infrastructure and related setup (databases, data warehouses, VMs)</li>\n<li>Knowledge of core machine learning concepts and when to apply them pragmatically</li>\n</ul>\n<p><strong>Initial Projects:</strong></p>\n<ul>\n<li>Build a likelihood-of-close model for Salesforce opportunities, which factors in relevant metadata and history</li>\n<li>Create a framework and initial implementation for an executive operational dashboard, working with a broad set of teams</li>\n<li>Define, validate, and implement key SaaS product-usage metrics</li>\n</ul>\n<p>As we grow, you will, too, with the broad scope of a software startup.</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_eb26af8f-c1a","directApply":true,"hiringOrganization":{"@type":"Organization","name":"Forward Networks","sameAs":"https://www.forward.net/","logo":"https://logos.yubhub.co/forward.net.png"},"x-apply-url":"https://job-boards.greenhouse.io/forwardnetworks/jobs/7695301003","x-work-arrangement":"onsite","x-experience-level":"mid","x-job-type":"full-time","x-salary-range":"$170,000 - $190,000","x-skills-required":["Python","SQL","data visualization","machine learning","data pipelines","data quality"],"x-skills-preferred":["dbt","Airflow","Spark","Tableau","Looker"],"datePosted":"2026-04-17T12:34:58.040Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Santa Clara, CA"}},"employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Technology","skills":"Python, SQL, data visualization, machine learning, data pipelines, data quality, dbt, Airflow, Spark, Tableau, Looker","baseSalary":{"@type":"MonetaryAmount","currency":"USD","value":{"@type":"QuantitativeValue","minValue":170000,"maxValue":190000,"unitText":"YEAR"}}},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_509fe158-5ef"},"title":"Data Scientist","description":"<p>We are seeking a Data Scientist to join Spotify&#39;s Artist-First AI Music Lab. 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As a Data Scientist on this team, you&#39;ll help bridge cutting-edge AI research with outstanding product experiences.</p>\n<p>Your work will ensure that every feature we launch is grounded in data-driven insight and meaningfully strengthens the connection between more than 700 million listeners and the creators they love.</p>\n<p>Responsibilities:</p>\n<ul>\n<li>Own analytical projects end-to-end, from hypothesis generation and data exploration to recommendations for product leadership</li>\n<li>Develop and own success metrics for generative music features and systems</li>\n<li>Design and analyze A/B tests and causal studies to evaluate product and model impact</li>\n<li>Perform exploratory analyses to uncover opportunities that improve experiences for listeners and artists</li>\n<li>Build scalable dashboards to monitor feature health and ecosystem impact</li>\n<li>Design and run evaluations for generative music systems, assessing risks and opportunities across prompts, outputs, and quality</li>\n<li>Collaborate with Product, Design, Research, Marketing, and Engineering to translate insights into product requirements</li>\n<li>Partner closely with Engineers and AI Researchers to integrate evaluation signals into model development workflows</li>\n<li>Communicate complex findings through clear, actionable narratives that inform product strategy and roadmap decisions</li>\n</ul>\n<p>Who You Are:</p>\n<ul>\n<li>You have a degree in Computer Science, Statistics, Economics, Operations Research, quantitative social science, or a related field (or equivalent experience)</li>\n<li>You bring 4+ years of experience as a Data Scientist influencing product decisions through data</li>\n<li>You&#39;re highly proficient in SQL and Python and comfortable working with large-scale datasets</li>\n<li>You use AI-powered tools (e.g., Cursor, Copilot) to accelerate analysis and workflows</li>\n<li>You have strong product intuition and a results-focused perspective, you seek the &#39;why&#39; behind the data</li>\n<li>You have experience with A/B testing, causal inference and advanced statistical methods, and exercise strong judgment in methodological choices</li>\n<li>You understand machine learning systems and can evaluate models beyond offline metrics, applying human judgment to quality and impact</li>\n<li>You thrive in ambiguous, zero-to-one environments and enjoy defining metrics &amp; opportunities for entirely new product categories</li>\n<li>You&#39;re motivated by creating real value for music fans and music creators</li>\n</ul>\n<p>Where You&#39;ll Be:</p>\n<ul>\n<li>We offer you the flexibility to work where you work best! 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$109,771, plus equity</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_2b0442cb-a86","directApply":true,"hiringOrganization":{"@type":"Organization","name":"Spotify","sameAs":"https://www.spotify.com","logo":"https://logos.yubhub.co/spotify.com.png"},"x-apply-url":"https://jobs.lever.co/spotify/a95830ad-c11f-49da-85a7-04ce47ce532c","x-work-arrangement":"hybrid","x-experience-level":"mid","x-job-type":"full-time","x-salary-range":"$76,840 - $109,771, plus equity","x-skills-required":["SQL","Python","A/B testing","Statistical methods","Data analysis","Data visualisation"],"x-skills-preferred":["Machine learning","Cloud computing","Big data processing"],"datePosted":"2026-03-31T18:17:27.987Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"New York, Stockholm or London"}},"employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Technology","skills":"SQL, Python, A/B testing, Statistical methods, Data analysis, Data visualisation, Machine learning, Cloud computing, Big data processing","baseSalary":{"@type":"MonetaryAmount","currency":"USD","value":{"@type":"QuantitativeValue","minValue":76840,"maxValue":109771,"unitText":"YEAR"}}},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_87533f45-d48"},"title":"Data Scientist","description":"<p>The Bing organization is looking for a Data and Applied Scientist for its online metric team. 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Experience with building machine learning models on large scale data.</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_87533f45-d48","directApply":true,"hiringOrganization":{"@type":"Organization","name":"Microsoft","sameAs":"https://microsoft.ai","logo":"https://logos.yubhub.co/microsoft.ai.png"},"x-apply-url":"https://microsoft.ai/job/data-scientist/","x-work-arrangement":"hybrid","x-experience-level":"senior","x-job-type":"full-time","x-salary-range":"$100,600 – $199,000 per year","x-skills-required":["Data Science","Mathematics","Statistics","Econometrics","Economics","Operations Research","Computer Science","SQL-like query languages","Python","Java","C#","C++","Search engines","Online instrumentation","Large datasets","Machine learning models"],"x-skills-preferred":["Data Science","Mathematics","Statistics","Econometrics","Economics","Operations Research","Computer Science","SQL-like query languages","Python","Java","C#","C++","Search engines","Online instrumentation","Large datasets","Machine learning models"],"datePosted":"2026-03-08T22:19:25.553Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Redmond"}},"employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Technology","skills":"Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, SQL-like query languages, Python, Java, C#, C++, Search engines, Online instrumentation, Large datasets, Machine learning models, Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, SQL-like query languages, Python, Java, C#, C++, Search engines, Online instrumentation, Large datasets, Machine learning models","baseSalary":{"@type":"MonetaryAmount","currency":"USD","value":{"@type":"QuantitativeValue","minValue":100600,"maxValue":199000,"unitText":"YEAR"}}},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_85b77752-f3d"},"title":"Data Scientist","description":"<p><strong>About the role</strong></p>\n<p>As an early member of Cursor&#39;s data team, you&#39;ll help build an AI data program operating at incredible scale while partnering directly with founders and area leads. You&#39;ll work hands-on across the entire data stack and at the bleeding edge of AI, turning billions of user-AI interactions into strategy that gets users to &#39;aha&#39; faster and expands their usage.</p>\n<p><strong>What you&#39;ll do</strong></p>\n<ul>\n<li>Partner with area leads to shape data-informed decisions across the business.</li>\n<li>Define, track, and own metrics like power usage and user satisfaction that multiple teams and leadership depend on.</li>\n<li>Run experiments end-to-end: design, analyse, and translate into clear product recommendations.</li>\n<li>Build pipelines, dashboards, and analyses that make self-serve insights accessible and trustworthy.</li>\n<li>Establish data culture and foundations as an early member of the data team.</li>\n</ul>\n<p><strong>You may be a fit if</strong></p>\n<ul>\n<li>You have at least 2-4 years of full-time data science experience.</li>\n<li>You have a strong track record of shipping high-impact work when operating in ambiguity.</li>\n<li>You can turn complex data into clear insights and stories for engineers, PMs, and execs.</li>\n<li>You&#39;ve worked at a hyper-growth startup or research org—you know how to be scrappy and ship insights across multiple product areas.</li>\n<li>You&#39;re fluent in SQL, Python, and AB testing, and can write pipelines to unblock yourself.</li>\n</ul>\n<p><strong>Bonus points if</strong></p>\n<ul>\n<li>You have hands-on experience with dbt.</li>\n<li>You have experience working on productivity software or AI tooling.</li>\n</ul>\n<p>Name<em> Email</em> ↥ Upload file LinkedIn URL GitHub Profile</p>\n<p>Please write a short note on a project you&#39;re proud of:</p>\n<p>Will you now or in the future require visa sponsorship to work in the country where this position is located?</p>\n<p>Has someone at Cursor referred you for this role? If so, please include their email here</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_85b77752-f3d","directApply":true,"hiringOrganization":{"@type":"Organization","name":"Cursor","sameAs":"https://cursor.com","logo":"https://logos.yubhub.co/cursor.com.png"},"x-apply-url":"https://cursor.com/careers/data-scientist-agents","x-work-arrangement":"remote","x-experience-level":"mid","x-job-type":"full-time","x-salary-range":null,"x-skills-required":["SQL","Python","AB testing","dbt","productivity software","AI tooling"],"x-skills-preferred":["data science","data analysis","data visualisation","machine learning"],"datePosted":"2026-03-08T00:15:25.434Z","jobLocationType":"TELECOMMUTE","employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Technology","skills":"SQL, Python, AB testing, dbt, productivity software, AI tooling, data science, data analysis, data visualisation, machine learning"},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_cbf4a173-e70"},"title":"Data Scientist","description":"<p>We are seeking a highly skilled Data Scientist to join our team. 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First name\\<em>  Last name\\</em>  Email address\\<em>  Which career you want to apply to?\\</em>  Message\\<em>  + FP  Read more  ## Job Description  We are seeking a highly skilled Data Scientist to join our team. As a Data Scientist, you will be responsible for analysing large datasets to gain insights and inform our racing strategy.  ### Responsibilities  </em> Develop and implement data analysis and machine learning models to improve our racing performance <em> Work closely with our engineering and racing teams to understand their needs and develop solutions </em> Collaborate with our data engineers to design and implement data pipelines and architectures <em> Develop and maintain data visualisation tools to communicate insights to our teams </em> Stay up-to-date with the latest developments in data science and machine learning <em> Work with our data engineers to ensure data quality and integrity </em> Develop and maintain data documentation and standards <em> Collaborate with our racing teams to develop and implement data-driven strategies </em> Work with our data engineers to develop and implement data-driven decision-making tools <em> Develop and maintain data visualisation tools to communicate insights to our teams </em> Stay up-to-date with the latest developments in data science and machine learning <em> Work with our data engineers to ensure data quality and integrity </em> Develop and maintain data documentation and standards  ### Requirements  <em> Bachelor&#39;s degree in Computer Science, Mathematics, Statistics, or a related field </em> 2+ years of experience in data science or a related field <em> Strong programming skills in Python, R, or SQL </em> Experience with machine learning libraries such as scikit-learn, TensorFlow, or PyTorch <em> Experience with data visualisation tools such as Matplotlib, Seaborn, or Plotly </em> Strong understanding of statistical concepts and techniques <em> Experience with data engineering and data architecture </em> Strong communication and collaboration skills <em> Ability to work in a fast-paced environment  ### Benefits  </em> Competitive salary and benefits package <em> Opportunity to work with a professional motorsport organisation </em> Collaborative and dynamic work environment <em> Opportunities for professional growth and development </em> Access to cutting-edge technology and tools * Flexible working hours and remote work options  ## How to Apply  If you are a motivated and talented Data Scientist looking for a new challenge, please submit your application, including your resume and a cover letter, to [insert contact information]. We look forward to hearing from you!</strong></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_92fce934-b53","directApply":true,"hiringOrganization":{"@type":"Organization","name":"W Racing Team","sameAs":"https://www.w-racingteam.com","logo":"https://logos.yubhub.co/w-racingteam.com.png"},"x-apply-url":"https://www.w-racingteam.com/manufacturing/careers/mécano","x-work-arrangement":"onsite","x-experience-level":"mid","x-job-type":"full-time","x-salary-range":"Competitive salary and benefits package","x-skills-required":["Python","R","SQL","Machine learning","Data visualisation","Statistical concepts","Data engineering","Data architecture"],"x-skills-preferred":["TensorFlow","PyTorch","Matplotlib","Seaborn","Plotly"],"datePosted":"2026-03-06T14:29:05.633Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Monza"}},"employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Motorsport","skills":"Python, R, SQL, Machine learning, Data visualisation, Statistical concepts, Data engineering, Data architecture, TensorFlow, PyTorch, Matplotlib, Seaborn, Plotly"},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_7bb50768-9c7"},"title":"Data Scientist","description":"<p><strong>Apply now!</strong></p>\n<p>We are seeking a highly skilled Data Scientist to join our team. As a Data Scientist, you will be responsible for analysing large datasets to gain insights and improve our racing performance.</p>\n<p><strong>Responsibilities:</strong></p>\n<ul>\n<li>Collect and process large datasets from various sources, including telemetry data, weather forecasts, and track conditions</li>\n<li>Develop and implement machine learning models to predict racing outcomes and identify areas for improvement</li>\n<li>Collaborate with our engineering team to integrate data-driven insights into our racing strategy</li>\n<li>Develop and maintain data visualisation tools to communicate insights to the team</li>\n<li>Stay up-to-date with the latest developments in data science and machine learning</li>\n<li>Work closely with our data engineer to ensure data quality and integrity</li>\n</ul>\n<p><strong>Requirements:</strong></p>\n<ul>\n<li>PhD in Computer Science, Mathematics, or a related field</li>\n<li>Strong programming skills in Python, R, or MATLAB</li>\n<li>Experience with machine learning libraries such as scikit-learn, TensorFlow, or PyTorch</li>\n<li>Strong understanding of statistical concepts and data visualisation techniques</li>\n<li>Excellent communication and collaboration skills</li>\n<li>Ability to work in a fast-paced environment and meet deadlines</li>\n</ul>\n<p><strong>Preferred Skills:</strong></p>\n<ul>\n<li>Experience with big data technologies such as Hadoop, Spark, or NoSQL databases</li>\n<li>Knowledge of SQL and database design</li>\n<li>Familiarity with cloud-based data platforms such as AWS or Google Cloud</li>\n<li>Experience with data visualisation tools such as Tableau, Power BI, or D3.js</li>\n</ul>\n<p><strong>Benefits:</strong></p>\n<ul>\n<li>Competitive salary and benefits package</li>\n<li>Opportunity to work with a professional motorsport team</li>\n<li>Collaborative and dynamic work environment</li>\n<li>Access to state-of-the-art technology and equipment</li>\n<li>Professional development opportunities</li>\n</ul>\n<p><strong>How to Apply:</strong></p>\n<p>If you are a motivated and talented Data Scientist looking for a new challenge, please submit your application, including your CV and a cover letter, to [insert contact email]. 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