• Design and deploy AI agent workflows to automate recurring analytical tasks, data summarization, and insight generation pipelines. • Evaluate and integrate LLM-based tools into the data team's workflow, assessing their reliability, accuracy, and fitness for analytical use cases. • Collaborate with product and business teams to define analytical questions, success metrics, and KPIs. • Build and maintain analytics foundation using SQL and dbt, enabling reliable reporting and self-serve analytics. • Design, build, and maintain Tableau dashboards that bring metrics to life and support day-to-day decision-making. • Perform A/B testing and experimentation, including experiment design, statistical inference, significance testing, and result interpretation. • Perform ad-hoc, exploratory, and statistical analyses to uncover insights and validate hypotheses. • Communicate findings clearly to both technical and non-technical stakeholders, translating data into actionable recommendations. • Partner with stakeholders to iterate on metrics, dashboards, and analyses as business needs evolve.

• Support meeting planners in managing attendee registration for conferences and events • Ensure the smooth execution of data-related tasks • Maintain accurate attendee data • Collaborate with event stakeholders • Provide database management to ensure consistency and accuracy • Assist in the development, testing, and management of event communications and online registration • Support attendees throughout the registration process • Manage room blocks, activity scheduling and onsite execution support including post-event attendee reporting • Domestic and/or international travel may be required with this role.

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. USD 101,500.00 - 169,100.00 per year 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. 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. Application Deadline: 03/21/2026

• Побудова моделей та створення комплексних рішень • Ведення задач від ідеї до продакшну • Розробка та покращення моделей ранжування та побудова рекомендаційних систем • Дизайн та проведення A/B тестів для перевірки гіпотез • Проактивний пошук точок росту продукту разом з бізнес-стейкхолдерами