This description is a summary of our understanding of the job description. Click on 'Apply' button to find out more. Role Description You will join the Search and Personalization Data Science team, which drives how guests discover homes on Airbnb. Search is the core entry point to the marketplace, and our team works at the intersection of ranking systems, marketplace dynamics, and emerging AI-powered search experiences. - Develop models, measurement frameworks, and data products that improve how listings are ranked, recommended, and discovered. - Your work will focus on three key areas: - Develop models and analytical frameworks that improve listing ranking and recommendation, incorporating marketplace dynamics such as listing availability, supply quality, and long-term ecosystem health into ranking decisions. - Design experiments and evaluation frameworks to understand the impact of search and AI-driven product improvements, ensuring product decisions are grounded in rigorous measurement and causal inference. - Build scalable data products and modeling pipelines that power ranking features, query understanding, and personalization, enabling the next generation of AI-powered search experiences at Airbnb. - As a Staff-level leader, you will also: - Partner closely with Relevance Engineering and Product to launch high-impact search improvements. - Set technical direction for modeling and experimentation in Search and Personalization. - Mentor other data scientists and raise the bar for building durable data products. - Connect marketplace thinking, modeling, and experimentation across teams to guide product strategy. Qualifications - 9+ years of relevant industry experience and a Master’s degree or PhD in a quantitative field. - Strong fluency in Python or R for hands-on IC work and SQL for advanced data analysis at scale. - Experience with causal inference and machine learning techniques, ideally in a multi-sided platform setting. - Proven ability to succeed in collaborative environments with cross-functional stakeholders and also in independent work environments. - Proven ability to communicate clearly and effectively to audiences of varying technical levels. Requirements - Cross-functional collaboration: Actively collaborate with teams across product, engineering, and operations to integrate data science insights into initiatives aimed at enhancing supply acquisition, retention, and success. - Stakeholder engagement: Engage with stakeholders to understand their business objectives and provide data-driven solutions tailored to these goals. - Focus time: Build machine learning models, develop inference frameworks, and build prototypes and other data products to scale your work. - Autonomy: Apply and investigate state-of-the-art innovations to uplevel Airbnb status-quo approaches to technical problems. - Regularly present work internally to engineering, product, and business strategy stakeholders to iterate and generate excitement on roadmap progress. Benefits - Base pay range: $194,000 — $240,000 USD. - This role may also be eligible for bonus, equity, benefits, and Employee Travel Credits. Company Description Airbnb was born in 2007 when two hosts welcomed three guests to their San Francisco home, and has since grown to over 5 million hosts who have welcomed over 2 billion guest arrivals in almost every country across the globe. Every day, hosts offer unique stays and experiences that make it possible for guests to connect with communities in a more authentic way.

This description is a summary of our understanding of the job description. Click on 'Apply' button to find out more. Role Description Maintains an effective collaborative relationship with project team members. Supports project team needs under the direction of project leads. Collaborates with statistical and medical colleagues; works independently on projects of moderate complexity. Applies substantial knowledge and technical proficiencies in data management (e.g., data integrity and preparation), programming (e.g., data manipulation), statistics and/or bioinformatics (e.g., data analysis and summarization), and workflow management to accomplish research tasks. - Required skills include proficiency in statistical or bioinformatics programming and/or scripting languages (e.g., SAS, R, Python). - Ability to write custom code. - Seeks educational opportunities and shares knowledge within and across teams to enhance professional development. Benefits - Medical: Multiple plan options. - Dental: Delta Dental or reimbursement account for flexible coverage. - Vision: Affordable plan with national network. - Pre-Tax Savings: HSA and FSAs for eligible expenses. - Retirement: Competitive retirement package to secure your future. Company Description Mayo Clinic is top-ranked in more specialties than any other care provider according to U.S. News & World Report. As we work together to put the needs of the patient first, we are also dedicated to our employees, investing in competitive compensation and comprehensive benefit plans – to take care of you and your family, now and in the future. And with continuing education and advancement opportunities at every turn, you can build a long, successful career with Mayo Clinic. - Today, our employees are located at our three major campuses in Phoenix/Scottsdale, Arizona, Jacksonville, Florida, Rochester, Minnesota, and at Mayo Clinic Health System campuses throughout Midwestern communities, and at our international locations. - Each Mayo Clinic location is a special place where our employees thrive in both their work and personal lives.

Company Cox Automotive - USA Job Family Group Data Intelligence & Science Job Profile Sr Data Scientist Management Level Individual Contributor Flexible Work Option Can work remotely anywhere in the specified country Travel % No Work Shift Day Compensation Compensation includes a base salary of $101,500.00 - $169,100.00. The base salary may vary within the anticipated base pay range based on factors such as the ultimate location of the position and the selected candidate’s knowledge, skills, and abilities. Position may be eligible for additional compensation that may include an incentive program. Job Description The Insights & Advisory team at Cox Automotive is seeking a highly skilled Senior Data Scientist to lead the development of advanced analytics and AI/ML models that power innovative products and inform strategic decisions. This role blends deep expertise in statistical modeling, econometrics, machine learning, and AI acceleration with strong business acumen to deliver actionable insights for internal teams and automotive OEM clients. As a Senior Data Scientist, you will work end-to-end on analytics projects – from data preparation and model development to deployment, governance, and stakeholder communication – with emphasis on market share modeling and reporting, macroeconomic forecasting, financial modeling and engineering, and strategic analytics. You’ll work independently across all phases of analytics projects, from data preparation and model development to deployment and stakeholder communication, while championing responsible AI practices and mentoring junior team members. Key Responsibilities: Advanced Analytics & AI/ML Development - Design, develop, and implement predictive, prescriptive, and optimization models using advanced statistical and machine learning techniques. - Utilize AI tools for rapid ML prototyping, automated feature engineering, and hyperparameter optimization. - Integrate AI-enhanced models into production systems and establish automated monitoring frameworks. - Apply interpretability frameworks (e.g., SHAP, LIME) and AI-driven insights to communicate results effectively. Data Analysis & Modeling - Translate business problems into analytical solutions and select appropriate methodologies. - Perform data preparation, feature engineering, and validation for large, complex datasets. - Deliver production-ready code and collaborate with engineering teams for deployment. Market, Economic, and Business Modeling - Develop and maintain methodologies for estimating and reporting market share while also building models that leverage demographic, inventory, demand, pricing, and other relevant data sources. - Create macroeconomic and business forecasting models to anticipate trends and inform strategic decisions. - Design financial models and apply advanced techniques to evaluate incentives, pricing strategies, and profitability, while remaining adaptable to emerging business needs and diverse datasets. Strategy and Internal Consulting - Serve as an internal consultant, framing business problems and aligning solutions with strategic objectives. - Facilitate decision-making using structured approaches; leverage negotiation and conflict resolution skills to drive consensus. Data Engineering & Governance - Own data preparation, feature engineering, validation, and production-ready code in Python and SQL. - Partner with engineering to integrate models, automate monitoring, and ensure reliability. - Establish responsible AI practices including bias detection, interpretability, and compliance monitoring. Collaboration, Leadership & Communication - Partner with product, engineering, and business stakeholders to align models with strategic goals. - Present findings and recommendations clearly to both technical and non-technical audiences. - Mentor junior staff, contribute to team capability building, and engage in thought leadership. Minimum Qualifications: - Bachelor’s degree in Statistics, Econometrics, Operations Research, Applied Mathematics, Computer Science, Economics, or a related quantitative field and 4 years’ experience in a related field. The right candidate could also have a different combination, such as a master’s degree and 2 years’ experience; a Ph.D. and up to 1 year of experience; or 16 years’ experience in a related field - Proven experience applying descriptive, predictive, and prescriptive analytics to real-world business problems. - Strong background in statistics and econometrics, including panel data analysis, time series modeling, and causal inference. - Hands-on experience with market share modeling and reporting. - Experience in macroeconomic forecasting and financial modeling/engineering. - Proficiency in Python and SQL, with ability to deliver production-quality code and manage the full ML lifecycle. - Experience with AWS or other cloud platforms and collaboration with engineering teams for deployment. - Ability to integrate models into enterprise systems and maintain production-ready code. - Experience operating as an internal consultant within a complex enterprise environment. - Exceptional communication and problem-solving skills. Preferred Skills - Advanced statistical techniques: GL GLMs, time series, forecasting, clustering, PCA; causal and panel methods. - Optimization methods: linear/mixed integer programming, heuristic approaches, network flow. - ML frameworks: scikit learn, TensorFlow, PyTorch; model interpretability with SHAP and LIME. - Experience with data visualization tools (Tableau, Power BI) and compelling storytelling. - Knowledge of CI/CD pipelines, data governance, and Agile methodologies. - Market share modeling approaches: discrete choice, multinomial and nested logit, demand elasticity. - Financial engineering: risk models, Monte Carlo, scenario analysis, option style incentive evaluation. - AI accelerated development and agentic frameworks; CI/CD and Agile delivery. - Data visualization and storytelling with Tableau or Power BI. - Evidence of peer reviewed publications or conference presentations. Why Join Cox Automotive? At Cox Automotive, data science drives innovation. As a Sr Data Scientist, you’ll shape the future of AI-powered analytics, deliver impactful insights, and mentor the next generation of data talent, all while working in a collaborative, forward-thinking environment. Drug Testing To be employed in this role, you’ll need to clear a pre-employment drug test. Cox Automotive does not currently administer a pre-employment drug test for marijuana for this position. However, we are a drug-free workplace, so the possession, use or being under the influence of drugs illegal under federal or state law during work hours, on company property and/or in company vehicles is prohibited. Benefits The Company offers eligible employees the flexibility to take as much vacation with pay as they deem consistent with their duties, the company’s needs, and its obligations; seven paid holidays throughout the calendar year; and up to 160 hours of paid wellness annually for their own wellness or that of family members. Employees are also eligible for additional paid time off in the form of bereavement leave, time off to vote, jury duty leave, volunteer time off, military leave, and parental leave. About Us Through groundbreaking technology and a commitment to stellar experiences for drivers and dealers alike, Cox Automotive employees are transforming the way the world buys, owns, sells – or simply uses – cars. Cox Automotive employees get to work on iconic consumer brands like Autotrader and Kelley Blue Book and industry-leading dealer-facing companies like vAuto and Manheim, all while enjoying the people-centered atmosphere that is central to our life at Cox. Benefits of working at Cox may include health care insurance (medical, dental, vision), retirement planning (401(k)), and paid days off (sick leave, parental leave, flexible vacation/wellness days, and/or PTO). For more details on what benefits you may be offered, visit our benefits page. Cox is an Equal Employment Opportunity employer – All qualified applicants/employees will receive consideration for employment without regard to that individual’s age, race, color, religion or creed, national origin or ancestry, sex (including pregnancy), sexual orientation, gender, gender identity, physical or mental disability, veteran status, genetic information, ethnicity, citizenship, or any other characteristic protected by law. Cox provides reasonable accommodations when requested by a qualified applicant or employee with disability, unless such accommodations would cause an undue hardship. Application Deadline: 03/19/2026

This description is a summary of our understanding of the job description. Click on 'Apply' button to find out more. Role Description As a Lead/Senior Quantitative Analyst, Predictive Modeling, you help shape the future of Phillies Baseball Operations by building statistical models to forecast player performance and communicating those results to decision-makers. Using analytical rigor and sophisticated statistical modeling techniques, you identify opportunities for the Phillies to improve via the application of forecasts to player development and evaluation. Join a team doing cutting-edge foundational research on biomechanics, human movement, ball-flight physics, and more, with the unique opportunity to apply those findings to player evaluation. Responsibilities - Conduct and oversee statistical forecasting projects in multiple baseball subject areas. - Collaborate with baseball subject matter experts in scouting, development, biomechanics, machine learning, decision science, and more, integrating their expertise into player evaluation models. - Maximize organizational impact of the department’s player evaluation models by advocating model-driven decision-making in various baseball contexts. - Ensure projects conform to best practices for implementing, maintaining, and improving predictive models throughout their life cycles. - Assist and mentor other members of the QA team with their projects by providing guidance and feedback on your areas of expertise within baseball and statistical modeling. - Continually enhance your and your colleagues’ knowledge of baseball and data science through documentation, reading, research, and discussion with your teammates and the rest of the front office. Qualifications - 2-5+ years of relevant work or graduate school experience. - Possess or are pursuing a BS, MS or PhD in Statistics or related (e.g., mathematics, physics, or ops research) or equivalent practical experience. - Proficiency with scripting languages such as Python, statistical software (R, S-Plus, SAS, or similar), and databases (SQL). - Demonstrated experience designing, constructing, implementing, and leading technical research projects for use by non-technical stakeholders. - Proven willingness to both teach others and learn new techniques. - Willingness to work as part of a team on complex projects. - Proven leadership and self-direction. Preferred Qualifications - Experience with a probabilistic programming language (Stan, PyMC, etc.). - Experience managing or overseeing the work of other data scientists or analysts. - Experience with model-driven decision-making under uncertainty (e.g., a rigorous approach to fantasy sports, poker, etc.). Application Instructions Interested applicants should submit both their resume and an answer to the following question: The R&D department has been asked to identify the best defensive center fielder in baseball. What models would you build to answer that question, and how would you apply those models to decision-making? (250 word limit) Equal Opportunity Statement We are an equal opportunity employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, national origin, sex, sexual orientation, age, disability, gender identity, marital or veteran status, or any other protected class.