• Analyzes problems and develops solutions involving computer software programs and applications by designing programs or queries to retrieve complex data from databases in one or more programming languages. • Applies theoretical expertise and innovation to create or apply new technology.

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 in the range 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: 03/21/2026

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. The Community You Will Join: MarTech Data Science Measurement empowers Airbnb to optimize marketing ROI by generating data-driven recommendations. We lead the way in defining and advancing best practices for measuring and optimizing marketing impact. We collaborate with Marketing, Finance, and Engineering to provide actionable recommendations and tools based on effective, timely, and granular measurements. Our team’s tenets are: - Actionable: Deliver insights that drive confident business decisions. - Impactful: Prioritize projects based on their expected value to Airbnb. - Balanced: Adapt methods to business questions and data realities, acknowledging limitations. - Rigorous: Maintain methodological integrity and quantify the sensitivity of findings. - Innovative: Invest in advancing measurement science and developing new methods. - Influential: Share learnings across Airbnb and the broader data science community. The Difference You Will Make: We are seeking an experienced (Contract) Sr. Data Scientist for a 24 month contract with deep expertise in marketing measurement, with a particular focus on Marketing Mix Modeling (MMM) and geo-based causal inference. The ideal candidate brings strong statistical intuition and hands-on modeling experience to quantify the incremental impact of Airbnb's marketing investments across channels and geographies. They are fluent in Python, comfortable working with Bayesian frameworks, and can translate complex measurement findings into clear, actionable recommendations for senior stakeholders. A Typical Day: - Marketing Mix Modeling: Design, build, and maintain MMM models that estimate incremental channel contributions, including prior elicitation, adstock/saturation modeling, validation, and sensitivity analysis. - Geo-Based Measurement: Develop and analyze geo-experiments (synthetic control, difference-in-differences) to measure marketing incrementality and validate MMM outputs. - Measurement Infrastructure: Build and maintain data pipelines and automated measurement systems ensuring reproducibility and scale. - AI-Accelerated Prototyping: Use AI agent workflows to rapidly develop v0 prototypes and spec-driven model implementations — compressing weeks of iteration into days. - Productionalization: Refine research prototypes into production-grade systems with proper unit testing, data validation, and code review standards. - Insight Communication: Translate complex measurement findings into clear narratives and confident budget recommendations for Marketing and Finance stakeholders. Your Expertise: - 5+ years of industry experience in a quantitative analysis role with a Master’s degree in a quantitative field (computer science, statistics etc.), or 2+ years of experience with a Ph.D. - Deep, hands-on experience building and validating Marketing Mix Models in a production setting. - Strong working knowledge of causal inference methods, including geo-experimentation and observational approaches. - Proficiency in Python and R for statistical modeling, and SQL for data manipulation. - Ability to communicate complex concepts clearly to stakeholders at varying technical levels. - Proven track record of solving business problems through data science methods. Preferred Expertise: - Passion for marketing and consumer science, with a desire to stay informed about the latest advances in the field. - Familiarity with Bayesian modeling and its applications in marketing. - Working knowledge of AI coding agents for accelerating prototyping, spec-driven development, and multi-agent workflows. - Experience in developing end-to-end models for data-driven decision-making. Your Location: This position is US - Remote Eligible. The role may include occasional work at an Airbnb office or attendance at offsites, as agreed to with your manager. While the position is Remote Eligible, you must live in a state where Airbnb, Inc. has a registered entity. Click here for the up-to-date list of excluded states. This list is continuously evolving, so please check back with us if the state you live in is on the exclusion list. If your position is employed by another Airbnb entity, your recruiter will inform you what states you are eligible to work from. Our Commitment To Inclusion & Belonging: Airbnb is committed to working with the broadest talent pool possible. We believe diverse ideas foster innovation and engagement, and allow us to attract creatively-led people, and to develop the best products, services and solutions. All qualified individuals are encouraged to apply. We strive to also provide a disability inclusive application and interview process. If you are a candidate with a disability and require reasonable accommodation in order to submit an application, please contact us at: reasonableaccommodations@airbnb.com. Please include your full name, the role you’re applying for and the accommodation necessary to assist you with the recruiting process. We ask that you only reach out to us if you are a candidate whose disability prevents you from being able to complete our online application. How We'll Take Care of You: Our job titles may span more than one career level. The actual hourly rate is dependent upon many factors, such as: education, experience, and skills. The hourly rate is subject to change and may be modified in the future. This role may also be eligible for bonus, equity, benefits, and Employee Travel Credits. Pay Range $140—$150 USD

• Process and clean structured and unstructured data for AI/ML pipelines. • Prepare training-ready datasets for LLM fine-tuning and evaluation workflows. • Support RAG and NL→SQL systems through data preparation and validation. • Perform data quality checks and ensure completeness and consistency. • Assist in building and maintaining data pipelines and APIs (e.g., FastAPI). • Collaborate with engineering teams to troubleshoot and optimize data workflows.