Job Description Developing statistical, machine learning, and AI models to predict consumer behavior by integrating survey, household, and retail sales data. Leading the design, prototyping, and deployment of AI and machine learning models and algorithms to enhance product and marketing success predictions. Validating and calibrating models and algorithms to estimate the likelihood of success and volume potential of future products, ensuring accuracy and robustness. Automating key processes, developing tools to streamline existing workflows, and ensuring scalability and reproducibility of models. Collaborating with analytics teams to address custom client requests, offering recommendations on complex study designs, and delivering tailored data insights. Staying at the forefront of relevant fields (Statistics, Machine Learning, Operations Research, Marketing Science, Artificial Intelligence), continuously enhancing model performance with the latest techniques. Telecommuting permitted. Qualifications Master’s degree in Marketing Science, Mathematics, Operations Research, Computer Science, Statistics, Financial, and Risk Management, or related and 3 years of experience required. Additional Information This notice is being provided as a result of the filing of a permanent alien labor certification application for this job opportunity. Any person may provide documentary evidence bearing on the application to the Certifying Officer of the Department of Labor: U.S. Department of Labor Employment and Training Administration Office of Foreign Labor Certification 200 Constitution Avenue, NW Room N-5311 Washington, DC 20210 Chicago, IL; 40 hours/week. $119,558.00-$148,500.00/year. This role may be eligible for a sales-based incentive or performance-based bonus. Other benefits include a flexible working environment, comprehensive health insurance, industry-leading parental leave, life insurance, education support, volunteer time off, LinkedIn learning, Employee-Assistance-Program (EAP), and more. APPLY OR QUESTIONS: Any employee with questions about this position may contact [email protected]. Any employee who wishes to apply may submit their resume on NIQ's career page - Careers - NIQ and reference job R26_0006770. If applying, please include a resume. Our Benefits - Flexible working environment - Volunteer time off - LinkedIn Learning - Employee-Assistance-Program (EAP) NIQ may utilize artificial intelligence (AI) tools at various stages of the recruitment process, including résumé screening, candidate assessments, interview scheduling, job matching, communication support, and certain administrative tasks that help streamline workflows. These tools are intended to improve efficiency and support fair and consistent evaluation based on job-related criteria. All use of AI is governed by NIQ’s principles of fairness, transparency, human oversight, and inclusion. Final hiring decisions are made exclusively by humans. NIQ regularly reviews its AI tools to help mitigate bias and ensure compliance with applicable laws and regulations. If you have questions, require accommodations, or wish to request human review were permitted by law, please contact your local HR representative. For more information, please visit NIQ’s AI Safety Policies and Guiding Principles: https://www.nielseniq.com/global/en/ai-safety-policies. About NIQ NIQ is the world’s leading consumer intelligence company, delivering the most complete understanding of consumer buying behavior and revealing new pathways to growth. In 2023, NIQ combined with GfK, bringing together the two industry leaders with unparalleled global reach. With a holistic retail read and the most comprehensive consumer insights—delivered with advanced analytics through state-of-the-art platforms—NIQ delivers the Full View™. NIQ is an Advent International portfolio company with operations in 100+ markets, covering more than 90% of the world’s population. For more information, visit NIQ.com Want to keep up with our latest updates? Follow us on: LinkedIn | Instagram | Twitter | Facebook Our commitment to Diversity, Equity, and Inclusion At NIQ, we are steadfast in our commitment to fostering an inclusive workplace that mirrors the rich diversity of the communities and markets we serve. We believe that embracing a wide range of perspectives drives innovation and excellence. All employment decisions at NIQ are made without regard to race, color, religion, sex (including pregnancy, sexual orientation, or gender identity), national origin, age, disability, genetic information, marital status, veteran status, or any other characteristic protected by applicable laws. We invite individuals who share our dedication to inclusivity and equity to join us in making a meaningful impact. To learn more about our ongoing efforts in diversity and inclusion, please visit the https://nielseniq.com/global/en/news-center/diversity-inclusion - Career Site Team: Technology

OVERVIEW: The Principal Data Scientist position is a senior technical leader who strategizes enterprise-grade AI solutions, spanning agentic AI, NLP, optimization & machine learning, to unlock measurable value across the Supply Chain and aligned domains. By working as a strategic partner to Supply Chain and cross-functional leaders in Product and Engineering, this role translates complex business requirements into rigorously framed analytical problems and robust, production-grade decisioning systems. The Principal Data Scientist shapes and governs the end-to-end AI architecture and strategic roadmap on a variety of AI platforms, ensuring AI capabilities are secure, scalable, and aligned with General Mills technology strategy. They elevate the broader Data Science community through technical mentorship and leadership in AI/ML best practices that accelerate high-quality solution delivery and responsible AI adoption. KEY ACCOUNTABILITIES: - Lead, design, and execute novel, end-to-end AI solutions and systems that help business partners achieve strategic objectives through advanced analytics, modeling, and optimization, with a primary focus on complex Supply Chain decisioning. - Partner with data science leadership, engineering, AI platform teams, and business stakeholders to define, prioritize, and deliver production-grade AI/ML products and services, leveraging best-in-class tools, frameworks, and cloud-native architectures on GCP. - Provide technical leadership through strong business partnership, challenging assumptions, offering alternate architectural patterns, and making informed trade-offs between complexity, performance, cost, and long-term maintainability. - Lead the reference architecture, design, and implementation of LLMs, NLP, and computer vision-driven solutions, owning patterns for problem framing, data curation, model lifecycle, and integration with core enterprise platforms and applications. - Provide technical oversight across core data science methodologies—including statistical, machine learning, and optimization approaches, ensuring method selection, validation, and implementation are rigorous, fit-for-purpose, and consistent with AI standards. - Partner closely with AI Leadership, ML Engineering, and business stakeholders to define and evolve the architecture for agentic AI and retrieval-augmented systems, establishing standards, guardrails, and reusable components. - Own the creation and operationalization of production-ready, scalable AI platforms, services, and models that provide real-time or near-real-time insights and decisions, fully aligned with General Mills technology standards for security, reliability, observability, and lifecycle management. - Provide technical leadership for analytical solution design and experimentation through hypothesis-driven approaches, robust evaluation strategies, and clear error taxonomies, with strong documentation and governance to ensure transparency, reproducibility, and reuse across capabilities. - Serve as a key member of the Data Science leadership team, shaping technical strategy, multi-year capability roadmaps, architectural standards, and operating practices that scale AI impact across the enterprise. - Coach and develop data scientists and adjacent talent through deep technical reviews and mentoring on advanced AI concepts, domain best practices, and effective use of shared platforms and patterns. - Champion Responsible AI by ensuring privacy, security, and governance compliance; proactively identifying and reducing model risks and embedding responsible AI principles into architecture, processes, and user experiences. - Act as an internal and external thought leader on AI strategy, architecture, and data science, representing the Digital and Technology organization in forums, communities of practice, and key stakeholder engagements. MINIMUM QUALIFICATIONS: - 10+ years of experience in data science / applied analytics, with ownership of end-to-end solutions from problem framing through production and measurable business impact with at least 3 years in a Principal, Lead, or equivalent senior technical level. - Advanced degree in a quantitative field (Data Science, Computer Science, Engineering, Statistics, Math, Operations Research, or related). - Strong expertise in core data science methodologies (statistical modeling, machine learning, optimization) and their practical application to complex business problems. - Hands-on experience architecting and deploying scalable AI/ML solutions on a major cloud platform (preferably GCP). - Proven track record of building and operating production-grade models and decisioning systems at scale, including monitoring, performance management, and lifecycle governance. - Demonstrated technical leadership setting technical direction, establishing standards, and influencing architecture and platform decisions. - Experience leading complex AI/ML programs across multiple teams, with strong grasp of project/program management fundamentals (roadmaps, prioritization, risk/dependency management). - Experience with unstructured data and advanced AI (e.g., LLMs, NLP, computer vision) integrated into business workflows and applications. - Strong communication skills, with the ability to clearly explain analytical concepts, results, and trade-offs to both technical and non-technical stakeholders. - Proficiency with modern data science engineering practices: version control, code review, testing, CI/CD for models, and agile delivery. - Demonstrated ability to mentor and develop other data scientists, leading by example on modeling rigor, experimentation, and documentation. - Proven ability to stay current on evolving AI/ML technologies and to anticipate, evaluate, and advocate for appropriate adoption within the enterprise. PREFERRED QUALIFICATIONS: - Deep experience applying data science and AI to Supply Chain domains (e.g., planning, logistics, manufacturing, sourcing). - Experience leading solutions that combine traditional modeling (predictive/prescriptive analytics, optimization) with newer paradigms (LLMs, agentic AI, RAG) in production. - Exposure to large-scale data processing and modern stack components - Evidence of thought leadership in data science (e.g., internal forums, publications, or open-source contributions). ADDITIONAL CONSIDERATIONS: - International relocation or international remote working arrangements (outside of the US) will not be considered. - Applicants for this position must be currently authorized to work in the United States on a full-time basis. General Mills will not sponsor applicants for this position for work visas. Salary Range The salary range for this position is $146900.00 - $245000.00 / Annually. At General Mills we strive for each employee's pay at any point in their career to reflect their experiences performance and skills for their current role. The salary range for this role represents the numerous factors considered in the hiring decisions including, but not limited to, educations, skills, work experience, certifications, etc. As such, pay for the successful candidate(s) could fall anywhere within the stated range. Beyond base salary, General Mills offers a competitive Total Rewards package focusing on your overall well-being. We are proud to offer a foundation of health benefits, retirement and financial wellbeing, time off programs, wellbeing support and perks. Benefits may vary by role, country, region, union status, and other employment status factors. You may also be eligible to participate in an annual incentive program. An incentive award, if any, depends on various factors, including, individual and organizational performance. Reasonable Accommodation Request If you need to request an accommodation during the application or hiring process, please fill out our online accommodations request form by following this link: Accommodations Request.

• Predictive modeling & decision support • Develop and validate response, premium, and other predictive models to improve targeting and profitability for direct mail and online campaigns. • Build omnichannel optimization and personalization models to determine who should receive which offer/message, through which channel, and when, to maximize campaign performance and profitability. • Analyze historical customer and marketing data to identify trends and patterns that inform strategy and optimization. • Design tests/experiments to evaluate campaign parameters (e.g., pricing, coverage, response, creative) and quantify lift and impact. • Production-ready analytics & ML • Build new and upgrade existing pipelines for data flow, business processes, scoring, and reporting (batch-first, designed for scale). • Contribute to model delivery patterns such as scheduled scoring jobs, APIs, or containerized services, including lightweight monitoring and versioning. • Research and Development • Research, recommend, and implement cutting edge tools, platforms and methodologies that align with industry best practices in data science and analytics. • Champion the adoption of innovative approaches in predictive modeling, data mining, and analytics, fostering a culture of continuous improvement. • Provide thought leadership and mentorship to team members, promoting upskilling in automation, AI, and innovative analytics.

Join us in pioneering breakthroughs in healthcare. For everyone. Everywhere. Sustainably. Our inspiring and caring environment forms a global community that celebrates diversity and individuality. We encourage you to step beyond your comfort zone, offering resources and flexibility to foster your professional and personal growth, all while valuing your unique contributions. The IT Data Architect designs, creatse, deploys and manages an organization's data architecture ▪Provides a standard common business vocabulary, expresses strategic data requirements, outlines high level integrated designs to meet these requirements, and aligns with enterprise strategy and related business architectureKey Responsibilities AI & Data Science - Design, build, and deploy machine learning and AI models (predictive, prescriptive, and generative) to solve real business problems. - Apply advanced statistical, ML, and deep learning techniques to structured and unstructured data. - Develop and maintain end‑to‑end data science pipelines, from data ingestion and feature engineering to model training and evaluation. - Collaborate with data engineering teams to ensure scalable, reliable, and well‑governed data foundations. Production & MLOps - Operationalize AI solutions using MLOps best practices (model versioning, monitoring, drift detection, retraining). - Ensure AI models meet enterprise requirements for performance, robustness, security, and maintainability. - Support cloud‑based AI platforms (e.g., Azure‑based ML environments) used across the organization. [JD _ data...automation | Word] Responsible & Compliant AI - Embed ethical AI principles, transparency, and governance into model design and deployment. - Ensure compliance with internal AI governance frameworks and applicable regulations (e.g., data privacy, AI risk management). - Act as a trusted advisor on responsible AI usage for stakeholders. Business & Stakeholder Collaboration - Translate business needs into data science problem statements and measurable success criteria. - Communicate complex analytical results clearly to non‑technical audiences. - Partner with product owners, process owners, and IT leaders to drive adoption and value realization. Required Qualifications - Master’s degree or PhD in Data Science, Computer Science, Statistics, Mathematics, AI, or a related field. - Strong hands‑on experience with Python and common data science libraries (e.g., pandas, NumPy, scikit‑learn, PyTorch/TensorFlow). - Solid understanding of machine learning algorithms, model evaluation, and statistical methods. - Experience working with SQL and large‑scale datasets. - Practical experience deploying models in production or near‑production environments. Preferred Qualifications - Experience with cloud‑based data & AI platforms (e.g., Azure Machine Learning, Databricks, Snowflake). - Familiarity with Generative AI / LLM use cases, prompt engineering, or vector databases. - Exposure to enterprise data governance and regulated environments. - Experience collaborating in cross‑functional, global teams. - Previous work in highly regulated environments specific to healthcare and healthcare medical technology. Career Path This role can evolve into Senior AI Data Scientist, AI Product Lead, Principal Data Scientist, or Data & AI Architecture / Strategy roles, depending on strengths and interests. * Develop strategies for data acquisitions, archive recovery, and implementation of a database * Clean and maintain the database by removing and deleting old data with the help of the team(s) * Define how data will be stored, consumed, integrated and managed by different data entities and IT systems, as well as any applications using or processing that data in some way * Set data architecture principles, create models of data that enable the implementation of the intended business architecture, create diagrams showing key data entities, and create an inventory of the data needed to implement the architecture vision * Ensure compliance to Q, ISEC and DP regulations Who we are: We are a team of more than 72,000 highly dedicated Healthineers in more than 70 countries. As a leader in medical technology, we constantly push the boundaries to create better outcomes and experiences for patients, no matter where they live or what health issues they are facing. Our portfolio is crucial for clinical decision-making and treatment pathways. How we work: When you join Siemens Healthineers, you become one in a global team of scientists, clinicians, developers, researchers, professionals, and skilled specialists, who believe in each individual’s potential to contribute with diverse ideas. We are from different backgrounds, cultures, religions, political and/or sexual orientations, and work together, to fight the world’s most threatening diseases and enable access to care, united by one purpose: to pioneer breakthroughs in healthcare. For everyone. Everywhere. Sustainably. To find out more about Siemens Healthineers businesses, please visit our company page here. The base pay range for this position is: $143,900 - $197,868 Factors which may affect starting pay within this range may include geography/market, skills, education, experience, and other qualifications of the successful candidate. If this is a commission eligible position the commission eligibility will be in accordance with the terms of the Company's plan. Commissions are based on individual performance and/or company performance. The Company offers the following benefits for this position, subject to applicable eligibility requirements: medical insurance, dental insurance, vision insurance, 401(k) retirement plan. life insurance, long-term and short-term disability insurance, paid parking/public transportation, paid time off, paid sick and safe time. Equal Employment Opportunity Statement: Siemens Healthineers is an Equal Opportunity and Affirmative Action Employer encouraging diversity in the workplace. All qualified applicants will receive consideration for employment without regard to their race, color, creed, religion, national origin, citizenship status, ancestry, sex, age, physical or mental disability unrelated to ability, marital status, family responsibilities, pregnancy, genetic information, sexual orientation, gender expression, gender identity, transgender, sex stereotyping, order of protection status, protected veteran or military status, or an unfavorable discharge from military service, and other categories protected by federal, state or local law. EEO is the Law: Applicants and employees are protected under Federal law from discrimination. To learn more, click here. Reasonable Accommodations: Siemens Healthineers is committed to equal employment opportunity. As part of this commitment, we will ensure that persons with disabilities are provided reasonable accommodations. If you require a reasonable accommodation in completing a job application, interviewing, completing any pre-employment testing, or otherwise participating in the employee selection process, please fill out the accommodations form here. If you’re unable to complete the form, you can reach out to our HR People Connect People Contact Center for support at peopleconnectvendorsnam.func@siemens-healthineers.com. Please note HR People Connect People Contact Center will not have visibility of your application or interview status. California Privacy Notice: California residents have the right to receive additional notices about their personal information. To learn more, click here. Export Control: “A successful candidate must be able to work with controlled technology in accordance with US export control law.” “It is Siemens Healthineers’ policy to comply fully and completely with all United States export control laws and regulations, including those implemented by the Department of Commerce through the Export Administration Regulations (EAR), by the Department of State through the International Traffic in Arms Regulations (ITAR), and by the Treasury Department through the Office of Foreign Assets Control (OFAC) sanctions regulations.” Data Privacy: We care about your data privacy and take compliance with GDPR as well as other data protection legislation seriously. For this reason, we ask you not to send us your CV or resume by email. We ask instead that you create a profile in our talent community where you can upload your CV. Setting up a profile lets us know you are interested in career opportunities with us and makes it easy for us to send you an alert when relevant positions become open. Register here to get started. Beware of Job Scams: Please beware of potentially fraudulent job postings or suspicious recruiting activity by persons that are currently posing as Siemens Healthineers recruiters/employees. These scammers may attempt to collect your confidential personal or financial information. If you are concerned that an offer of employment with Siemens Healthineers might be a scam or that the recruiter is not legitimate, please verify by searching for the posting on the Siemens Healthineers career site. To all recruitment agencies: Siemens Healthineers does not accept agency resumes. Please do not forward resumes to our jobs alias, employees, or any other company location. Siemens Healthineers is not responsible for any fees related to unsolicited resumes.