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***

What You'll Do Avalara is scaling a modern, AI-enabled go-to-market engine — and the Marketing Analytics & Insights (MAI) team sits at the center of this transformation. As a Senior Data Scientist, you will help shape predictive intelligence and experimentation strategy across the full marketing and revenue funnel. You will: - Build predictive and forecasting models for pipeline, conversion, and ROI - Develop uplift / lead scoring, early funnel signal detection, and velocity models - Design and scale experimentation frameworks (A/B, causal inference) - Apply AI and large-language-model techniques to accelerate insights delivery - Translate analytics into strategic recommendations for marketing leaders - Partner with the Global Analytics & Insights (GAI) team on model design, deployment, MLOps, and shared data standards This is a hands-on, high-visibility role. You will operate as a strategic builder, shaping the analytics and AI foundation that fuels Avalara's future GTM performance. You will report to the Director, Marketing Analytics. #LI-Remote What Your Responsibilities Will Be Build and deploy statistical & machine learning models to predict and optimize marketing performance - Lead experimentation design, causal analysis, and incrementality measurement - Partner cross-functionally with Marketing Ops, Revenue Marketing, and GAI - Operationalize AI-driven analytics and automated insight workflows - Mentor analysts on advanced analytics and experimentation frameworks - Establish repeatable data science methods, governance, and documentation - Communicate results clearly to executive stakeholders What You'll Need to be Successful 5+ years in data science, ideally within SaaS, marketing analytics, growth, or revenue intelligence. Strong experience in: - Forecasting + time-series modeling - Regression, uplift / causal inference - Experimentation / A/B frameworks - Advanced Python (preferred) or R + strong SQL proficiency - Translate complex models into crisp, executive-ready insights - Demonstrated ability to operate independently and build new capabilities Preferred Qualifications - Experience in B2B SaaS marketing or revenue analytics - Familiarity with attribution modeling (MTA, MMM) - Knowledge of Snowflake, dbt, Hex, and modern data stack environments - Experience supporting go-to-market or growth analytics functions - Exposure to LLM / AI techniques for automation or insight generation - Prior experience as a founding / early data scientist in a high-growth company. Avalara is an AI-first Company AI is embedded in our workflows, decision-making, and products. Success here requires embracing AI as an essential capability. - You’ll bring experience using AI and AI-related technologies, ready to thrive here. - You’ll apply AI every day to business challenges - improving efficiency, contributing solutions, and driving results for your team, our company, and our customers. - You’ll grow with AI by staying curious about new trends and best practices, and by sharing what you learn so others can benefit too. How We'll Take Care of You Total Rewards In addition to a great compensation package, paid time off, and paid parental leave, many Avalara employees are eligible for bonuses. Health & Wellness Benefits vary by location but generally include private medical, life, and disability insurance. Inclusive culture and diversity Avalara strongly supports diversity, equity, and inclusion, and is committed to integrating them into our business practices and our organizational culture. We also have a total of 8 employee-run resource groups, each with senior leadership and exec sponsorship. What You Need To Know About Avalara We’re defining the relationship between tax and tech. We’ve already built an industry-leading cloud compliance platform, processing over 54 billion customer API calls and over 6.6 million tax returns a year. Our growth is real - we're a billion dollar business - and we’re not slowing down until we’ve achieved our mission - to be part of every transaction in the world. We’re bright, innovative, and disruptive, like the orange we love to wear. It captures our quirky spirit and optimistic mindset. It shows off the culture we’ve designed, that empowers our people to win. We’ve been different from day one. Join us, and your career will be too. We’re An Equal Opportunity Employer Supporting diversity and inclusion is a cornerstone of our company — we don’t want people to fit into our culture, but to enrich it. All qualified candidates will receive consideration for employment without regard to race, color, creed, religion, age, gender, national orientation, disability, sexual orientation, US Veteran status, or any other factor protected by law. If you require any reasonable adjustments during the recruitment process, please let us know.

• Operational management and maintenance of data within information systems • Handling and resolution of data-related disputes in collaboration with Key Account Managers • Verification and validation of FleetPartner orders in the systems • Ensure the accuracy, consistency and completeness of data • Perform regular checks to detect inconsistencies or anomalies • Contribute to documentation of data and standard operating procedures • Support monitoring of existing performance indicators (KPIs) • Conduct simple analyses at the request of business teams • Analyze and resolve data disputes (pricing, terms, billing, master data, etc.) in collaboration with Key Account Managers • Track and follow up on corrections within the systems • Verify the validity of received orders • Validate the processes used • Confirm orders in the system so they become firm purchase orders • Work collaboratively with Purchasing, Key Application Users and Key Account Managers • Provide technical support and deliver training on the use of databases and tools • Participate occasionally in process improvement initiatives under the supervision of the Data team • Develop and document processes to ensure data reliability

• Collaborate with experienced modelers to build predictive models and analytic solutions using Python or R; apply techniques such as GLM, GAM and decision trees • Manipulate data using R or SQL Server; develop advanced ad hoc queries to investigate data anomalies and to summarize data for pattern detection • Develop Python or R functions and SQL stored procedures to automate recurring tasks • Create and maintain documentation associated with models • Assist in implementation and testing of models • Develop dashboards in Power BI to facilitate analyses that support modeling efforts or enable model usage • Monitor the performance and usage of models