• Mining, modeling, and analyzing large datasets, utilizing predictive modeling techniques • Building and validating a variety of statistical models, providing analytic support, and developing new criteria and/or strategies • Design and implement experiments and processes for evaluating business performance, new products, and product features • Conducting required analyses incorporating project design, data collection, and analysis, summarizing findings, and presenting results in an understandable manner • Compiling appropriate data, applying multidimensional data aggregation, and performing profile analysis to evaluate business impact • Handling large volumes of transaction-level data to derive actionable results efficiently • Interacting with stakeholders to understand their business questions, crafting methodologies to mine/analyze datasets, and delivering insightful recommendations • Keeping up to date with the latest technology trends

Aon is Looking for a Data Scientist Data science is revolutionizing many areas of business and the management of people is no exception. Aon’s human capital business, encompassing over 2,000 colleagues and spanning the globe, applies our market-leading workforce data to help clients tackle transformational projects. Aon is in the business of better decisions At Aon, we shape decisions for the better to protect and enrich the lives of people around the world. As an organization, we are united through trust as one inclusive team and we are passionate about helping our colleagues and clients succeed. What the day will look like - Provide technical leadership in a team that generates business insights, identify impactful recommendations, and communicate the findings to clients - Brainstorm innovative ways to use our unique data to answer business problems - Design, construct, install, test, and maintain data management systems typically in the form of scalable Databricks pipelines - Research, build, and apply LLMs and NLP-based systems for insight extraction and data enrichment use-cases - Create advanced statistical and machine-learning models to provide specific recommendations to business leaders - Communicate complex quantitative analyses in a clear, precise, and actionable manner - Leverage data visualization to convey insights in a compelling way - Work in a team, take initiative, and share your knowledge with others How this opportunity is different Human Capital Data Scientists will have the opportunity to apply and develop advanced data skills and play an important role in delivering innovative solutions. Our focus lies in building creative solutions that have an immediate impact on the business of our partners and the lives of the people who work for them. We work in complementary teams comprising data scientists and consultants from across the organization. Aon is home to human capital data of a scale and breadth found in few other places, allowing you to participate in developing market-leading insights that shape how companies manage their people and their business. Skills and experience that will lead to success - Bachelor’s or Master’s degree in Economics, Data Science, Statistics, Computer Science or related field - Four years of work experience with a Bachelor’s degree or at least two years of experience with an advanced degree - Proficiency with Python and Databricks - Knowledge of data visualization software such as Tableau or Power BI - Experience with multivariate linear regression models and hypothesis testing - Experience with collaborative development environment like GitHub Preferred Experience - A passion for data visualization - Proficiency with ETL processes - Experience with Databricks and Snowflake - Experience with advanced econometrics and machine learning methods for social sciences - Experience with discrete choice experiments or conjoint analysis How we support our colleagues In addition to our comprehensive benefits package, we encourage an inclusive workforce. Plus, our agile environment allows you to manage your wellbeing and work/life balance, ensuring you can be your best self at Aon. Furthermore, all colleagues enjoy two “Global Wellbeing Days” each year, encouraging you to take time to focus on yourself. We offer a variety of working style solutions for our colleagues as well. Our continuous learning culture inspires and equips you to learn, share and grow, helping you achieve your fullest potential. As a result, at Aon, you are more connected, more relevant, and more valued. Aon values an innovative and inclusive workplace where all colleagues feel empowered to be their authentic selves. Aon is proud to be an equal opportunity workplace. Aon provides equal employment opportunities to all employees and applicants for employment without regard to race, color, religion, creed, sex, sexual orientation, gender identity, national origin, age, disability, veteran, marital, domestic partner status, or other legally protected status. People with criminal histories are encouraged to apply. The salary range for this position (intended for U.S. applicants) is $105,000 - $138,000 annually. The actual salary will vary based on applicant’s education, experience, skills, and abilities, as well as internal equity and alignment with market data. The salary may also be adjusted based on applicant’s geographic location. This position is eligible to participate in one of Aon’s annual incentive plans to receive an annual discretionary bonus in addition to base salary. The amount of any bonus varies and is subject to the terms and conditions of the applicable incentive plan. Aon offers a comprehensive package of benefits for full-time and regular part-time colleagues, including, but not limited to: a 401(k) savings plan with employer contributions; an employee stock purchase plan; consideration for long-term incentive awards at Aon’s discretion; medical, dental and vision insurance, various types of leaves of absence, paid time off, including 12 paid holidays throughout the calendar year, 15 days of paid vacation per year, paid sick leave as provided under state and local paid sick leave laws, short-term disability and optional long-term disability, health savings account, health care and dependent care reimbursement accounts, employee and dependent life insurance and supplemental life and AD&D insurance; optional personal insurance policies, adoption assistance, tuition assistance, commuter benefits, and an employee assistance program that includes free counseling sessions. Eligibility for benefits is governed by the applicable plan documents and policies. We are committed to providing equal employment opportunities and fostering an inclusive workplace. If you require accommodations during the application or interview process, please let us know. You can request accommodations by emailing us at ReasonableAccommodations@Aon.com or your recruiter. We will work with you to meet your needs and ensure a fair and equitable experience. For positions in San Francisco and Los Angeles, we will consider for employment qualified applicants with arrest and conviction record in accordance with local Fair Chance ordinances. Aon is not accepting unsolicited resumes from search firms for this position. If you are a search firm, you will not be compensated in any way for your submission of a candidate, even if Aon hires that candidate. Nothing in this job description restricts management's right to assign or reassign duties and responsibilities to this job at any time. #LI-KN1 #LI-HYBRID #LI-REMOTE 2576462

ARE YOU A CURRENT US FOODS EMPLOYEE? PLEASE APPLY DIRECTLY THROUGH OUR INTERNAL WORKDAY CAREER SITE Join Our Community of Food People! The Lead Data Scientist – Commercial will lead a team of data scientists responsible for designing, developing, and deploying advanced analytics and AI solutions that drive commercial growth, seller efficiency improvements and customer engagement. This includes seller effectiveness solutions, eCommerce AI capabilities such as personalization and product recommendations, and advanced marketing and merchandising analytics. This leader owns the Commercial Advanced Analytics portfolio, with accountability for analysis, development, and implementation of AI / ML solutions and delivery of measurable business outcomes across Sales, Marketing, and Digital channels. Responsibilities span the full lifecycle of initiatives, from problem framing and solution design through production deployment and adoption. This position is remote which means the work can be completed from anywhere except Hawaii or United States Territories. ESSENTIAL DUTIES AND RESPONSIBILITIES Delivery and Impact - Partner with senior Sales, Merchandising, Marketing, and Digital stakeholders to identify, prioritize, and frame high-impact business problems suited for advanced analytics and AI. - Oversee delivery of solutions including eCommerce personalization and recommendation systems, seller effectiveness and productivity tools, and advanced marketing and merchandising analytics. - Ensure solutions are production-ready, scalable, and embedded into commercial workflows to drive sustained and measurable revenue, margin, and customer experience impact. Analytical Leadership - Lead, develop, and retain high-performing teams of data scientists, with a strong focus on innovation, execution, and talent development. - Shape and deliver the commercial analytics and AI roadmap aligned to growth priorities, customer strategy, and measurable business outcomes. - Influence decision-making by leading statistical experimentation and driving adoption of data-driven decision making across Sales, Merchandising, Marketing, and Digital leadership teams. Technical Excellence - Provide technical and analytical leadership across applied AI, optimization, and statistical modeling. - Set standards for analytical rigor, model performance, reliability, and commercial business impact. - Collaborate with ML Engineering, Digital, and Platform teams to ensure robust code development, scalable deployment, and stable production operations across the full model lifecycle. SUPERVISION: - Team of five data scientists. RELATIONSHIPS - Internal: Analytics and Data Science teams; Executive Leadership Team; Sales, Marketing, Merchandising, Digital, and Technology leaders. - External: Vendors including cloud infrastructure providers, analytics and AI solution partners, and other strategic partners. WORK ENVIRONMENT (Select one) - Remote: This role is fully remote, and the associate is expected to perform assigned responsibilities from a home-based environment. MINIMUM QUALIFICATIONS - Six years of experience or greater in advanced analytics, data science, or applied machine learning, with progressive leadership responsibility. - Experience deploying applied AI solutions on cloud platforms (e.g., AWS SageMaker and Bedrock), including LLM-based and agentic architectures, with production-grade hosting, monitoring, governance, and end-to-end MLOps. - Experience guiding teams in Python-based data science ecosystems and collaborative development practices, including code quality, testing, and reproducibility. Comfort with modern agentic coding tools (e.g., Claude Code, GitHub Copilot). - Strong command of machine learning, optimization methods, and statistical experimentation at scale, particularly in commercial, customer, or growth-oriented use cases. - Business-oriented analytical thinker with a high bar for rigor, execution, and reliability. - Clear, concise communicator able to influence senior leaders with data-driven insights. EDUCATION - Bachelor’s degree in Computer Science, Engineering, Mathematics, or a related quantitative field required. - PhD in a quantitative field a plus. TRAVEL REQUIREMENT - 10% CERTIFICATIONS/TRAINING - N/A LICENSES - N/A PREFERRED QUALIFICATIONS - Experience leading applied data science or AI teams in commercial, sales, marketing, or eCommerce environments (especially B2B). - Strong consultative, business-facing background with demonstrated success driving adoption of analytics products. - Able to communicate clearly and influence stakeholders through storytelling and public speaking. - Experience in complex, SKU-heavy or distribution-style businesses. This role will also receive annual incentive plan bonus up to 25% of base salary.​ ​Benefits for this role may include health insurance, pre-tax spending accounts, retirement benefits, paid time off, short-term and long-term disability, employee stock purchase plan, and life insurance. To review available benefits, please click here: https://www.usfoods.com/careers/benefits.html. Compensation depends on relevant experience and/or education, specific skills, function, geographic location, and other factors as applicable by law (for example: state minimum wage thresholds). The expected base rate for this role is between $100,000 - $160,000 ***EOE – Race/Color/Religion/Sex/Sexual Orientation/Gender Identity/National Origin/Age/Genetic Information/Protected Veteran/Disability Status***

• Define and lead a compelling vision for advanced analytics, data science, and AI • Build, inspire, and scale a high-performing analytics organization • Champion a culture of innovation, accountability, and data-driven decision-making • Design and deploy sophisticated analytics frameworks including segmentation, predictive modeling, promotional response, risk assessment, and patient journey analytics • Serve as a strategic advisor to commercial leadership • Partner closely with leaders across marketing, market access/HEOR, clinical, regulatory, finance, and sales • Lead the adoption and scaling of machine learning, AI, and GenAI analytical solutions • Build strong relationships with external partners, vendors, and key opinion leaders • Recruit, mentor, and retain top analytics and data science talent