Reporting to the Manager Data Science, you will lead analytics projects within defined areas of expertise by researching, collecting, analyzing, and interpreting data to identify trends and deliver insights with actionable recommendations. You will define information requirements and collaborate with technology partners to design and implement dashboards, automated solutions, and digital factory data products, including Digital Yield intelligence and engineering Center of Excellence enablement, to support Project Catalyst programs and advance a self‑service analytics culture. A Taste of Your Responsibilities - Lead Digital Yield intelligence initiatives, including the development and enablement of digital factory data products and the engineering Center of Excellence, to support Project Catalyst programs - Lead the creation and continuous improvement of analyses, reports, insights, dashboards, and future agent‑driven capabilities enabled by artificial intelligence for internal stakeholders and external customers - Lead complex data requests and analytics projects in partnership with the broader analytics and data science teams - Develop and deliver advanced reports, analyses, and dashboards that support informed decision‑making - Drive business integration and adoption of analytics tools, insights, and data products - Provide recommendations on analytical approaches, methodologies, and solution design - Collaborate across functions to elevate the visibility, impact, and brand of the analytics and data science teams across the enterprise Ingredients Required for Your Success - Bachelor’s degree - Three or more years of experience in a data science or advanced analytics function, with Consumer Packaged Goods experience preferred - Experience delivering actionable business recommendations and partnering with cross‑functional stakeholders - Demonstrated track record of learning and applying modern analytics tools, technologies, and frameworks - Familiarity with a range of analytical and statistical models #LI‑Remote #LI‑MSL #LI-PM2 Compensation Pay Range:$81,000-$118,000 The annual salary listed above is the expected offering for this position. An employee’s actual annual salary will be based on but not limited to: location, relevant experience/level and skillset, while balancing internal Conagra employees’ equity. Conagra Brands will comply with applicable law regarding minimum salaries for exempt employees. Our Benefits We care about your total well-being and will support you with the following, subject to your location and role: - Health: Comprehensive healthcare plans, wellness incentive program, mental wellbeing support and fitness reimbursement - Wealth: Great pay, bonus incentive opportunity, matching 401(k) and stock purchase plan - Growth: Career development opportunities, employee resource groups, on-demand learning and tuition reimbursement - Balance: Paid-time off, parental leave, flexible work-schedules (subject to your location and role) and volunteer opportunities Our Company At Conagra Brands, we have a rich heritage of making great food. We aspire to have the most impactful, energized and inclusive culture in food. As a member of our 18,000+ person team across 40+ locations, you are empowered to reach your potential, make an impact and own your career. We're in the business of building champions – within our people and our iconic brands like Birds Eye®, Slim Jim® and Reddi-Wip®. Our focus on innovation extends beyond making great food, it also reflects our commitment to embracing new solutions that positively impact our team, the communities we serve and the health of our planet. Foodies Welcome. Conagra Brands is an equal opportunity employer and considers qualified applicants for employment without regard to sex, race, color, religion, ethnic or national origin, gender, sexual orientation, gender identity or expression, age, pregnancy, leave status, disability, veteran status, genetic information and/or any other characteristic or status protected by national, federal, state or local law. Reasonable accommodation may be made upon request.

• Design and refine advanced prompts for GitHub Copilot and LLM-based workflows • Build AI agents and automation workflows to accelerate development tasks • Optimise context window management, plan mode vs agent mode usage, and prompt structuring • Collaborate directly with Microsoft AI engineers to enhance tooling capabilities • Rapidly prototype and iterate AI-driven SDLC accelerators • Embed within multiple Scrum teams to review AI-generated code and specifications • Challenge and improve prompt usage and drive best practice adoption • Coach engineers in effective AI-assisted development • Identify gaps in AI outputs and improve workflows accordingly • Influence cultural change in AI adoption across global teams

• Design, build, and deploy machine learning solutions for audience targeting, lookalike generation, and individual propensity scoring. • Own the complete ML lifecycle - from exploratory analysis and experimentation all the way through production deployment and operational monitoring. • Develop and ship production ML systems spanning self-supervised representation learning, vector similarity search, and supervised classifiers. • Leverage distributed computing (Spark/Databricks) and cloud data platforms (AWS, Snowflake) to build and run production ML pipelines at scale. • Ensure model quality through rigorous evaluation practices: from embedding validation and retrieval quality to supervised model calibration and production monitoring. • Engineer features at scale from demographic, behavioral, and identity data — including handling missing values, encoding strategies, and pipeline-level data quality validation. • Contribute ML logic directly into shared production services, working alongside data engineering, software engineering, and product teams.

Role Description The Business Intelligence & Analytics (BIA) CoOp will support the BIA team in delivering data-driven insights that enable a well-informed, analytics-led marketing strategy. The CoOp will contribute to the development of advanced dashboards, reporting, and predictive models, as well as perform exploratory data analysis to uncover trends and opportunities. Through this hands-on work, the CoOp will help power marketing campaigns designed to increase donor engagement and revenue for Public Media stations across the United States. This role offers practical experience applying analytics to real-world marketing challenges while collaborating closely with analysts, data scientists, and marketing stakeholders. - Data analysis and report development - Weekly support of CRM data and reporting requests - Predictive model support and development - Data quality reviews and data validation Qualifications - Thorough and detail oriented with excellent follow-up skills - Knowledge of database principles and data science - Able to juggle multiple tasks and competing priorities in a fast-paced environment - Able to follow instructions and work independently when needed - Flexible and can switch gears quickly - A team player with great interpersonal and communication skills Requirements - 0 – 1 years relevant experience in data analysis, predictive modeling and/or data analytics - Foundational understanding of SQL and database design - Proficiency with Microsoft Office Suite: Excel, Word, Outlook, PowerPoint - Excellent written and verbal communication skills - Excellent multitasking, time management and organizational skills - Solid critical thinking and problem-solving skills - Education: Bachelor's degree candidate - Duration: six months, Full Time (32+ hours per week) Company Description CDP, a Boston-based public benefit corporation, uses the collaborative fundraising model to improve the operational efficiency and revenue generation capacity of the public media system. CDP currently provides more than 230 NPR and PBS stations with outsourced marketing, data analytics, fundraising, and technology services. These services help stations raise more net income, grow their donor files faster, lower their fundraising costs, and free up development talent allowing stations to better focus on local engagement. Since its inception as a business unit with the WGBH Educational Foundation and subsequent evolution to a freestanding entity, CDP has driven $150 million in incremental net value back to stations and has become the most widely adopted station service in the history of public broadcasting. Just as CDP is committed to supporting public media organizations around the country, we are equally committed to supporting each of our team in their own professional development. For more information visit www.cdpcommunity.org .