Company Description At Northwestern Medicine, every patient interaction makes a difference in cultivating a positive workplace. This patient-first approach is what sets us apart as a leader in the healthcare industry. As an integral part of our team, you'll have the opportunity to join our quest for better health care, no matter where you work within the Northwestern Medicine system. We pride ourselves on providing competitive benefits: from tuition reimbursement and loan forgiveness to 401(k) matching and lifecycle benefits, our goal is to take care of our employees. Ready to join our quest for better? Job Description Job Title: Senior Data Scientist Location: Chicago, IL Compensation: $114,180 - $182,689 per year Responsibilities: Build models by executing predefined experiments and templated code within the standard model development paradigm (25%). Data extraction and preparation for use in solution building (20%). Lead requirements gathering efforts using your technical and product acumen to identify solutions to stakeholder problems (25%). Provide technical and infrastructural advice on model builds, solution design, and requirements (15%). Help train the rest of the team in product lifecycle management, solution design, technical tool usage, and machine learning specifics (15%). ***Remote work requests will be considered consistent with petitioner's remote work policy. Requirements: Master’s degree in Machine Learning, Computer Science, Engineering, Math, Physics, or a related field plus 5 years of relevant experience with machine learning, a focus on model building, and analysis of outcomes and model deployment in Data Scientist- Innovation, Graduate Assistant, or a related position. In alternative, we will accept a Doctorate (Ph.D.) in Machine Learning, Computer Science, Engineering, Math, Physics, or a related field plus 3 years of relevant experience with machine learning, a focus on model building, and analysis of outcomes and model deployment in Data Scientist- Innovation, Graduate Assistant, or a related position. Additionally, we require: experience running projects from inception to deployment; familiar with the product development lifecycle; proficiency in SQL, Python, and a deep learning library like PyTorch; experience with machine learning algorithms and frameworks like scikit-learn (sklearn) or SparkML for building and evaluating models; professional experience using cloud platforms like Azure for scalable data processing and model deployment; experience with software engineering principles around testing, code reviews, and deployment; experience utilizing problem-solving skills to analyze complex problems, break them down into manageable tasks, and develop effective solutions; experience working effectively in interdisciplinary teams, including clinicians, to understand their needs and translate them into data-driven solutions; experience leading and influencing cross-functional teams; experience building and growing relationships with stakeholders to ensure alignment and successful implementation of data-driven solutions; experience with feature engineering and selection methods to improve model performance; experience mentoring on topics like programming, deployment, maintenance, project lifecycle, and working with stakeholders. We will accept any suitable combination of education, training, and experience. Requisition # LMT90751K Qualifications Additional Information All your information will be kept confidential according to EEO guidelines. Northwestern Medicine is an equal opportunity employer (disability, VETS) and does not discriminate in hiring or employment on the basis of age, sex, race, color, religion, national origin, gender identity, veteran status, disability, sexual orientation or any other protected status. Background Check Northwestern Medicine conducts a background check that includes criminal history on newly hired team members and, at times, internal transfers. If you are offered a position with us, you will be required to complete an authorization and disclosure form that gives Northwestern Medicine permission to run the background check. Results are evaluated on a case-by-case basis, and we follow all local, state, and federal laws, including the Illinois Health Care Worker Background Check Act. Artificial Intelligence Disclosure Artificial Intelligence (AI) tools may be used in some portions of the candidate review process for this position, however, all employment decisions will be made by a person. Benefits We offer a wide range of benefits that provide employees with tools and resources to improve their physical, emotional, and financial well-being while providing protection for unexpected life events. Please visit our Benefits section to learn more. Sign-on Bonus Eligibility (if sign-on bonus offered for position): Internal employees and rehires who left Northwestern Medicine within 1 year are not eligible for the sign on bonus. Exception: New graduate internal employees seeking their first licensed clinical position at NM may be eligible depending upon the job family. - Job Shift: Day Job (1st) - Salary Range Minimum : $54.90 - Salary Range Maximum: $87.84 - Compensation: USD 54.9 - USD 87.84 - hourly

• Lead the development of advanced analytics and machine learning solutions • Transform complex data into actionable insights • Build predictive models and deliver scalable data science solutions • Collaborate with cross-functional stakeholders across product, engineering, and business teams

Who We Are: We are a tech-enabled growth firm–at the intersection of marketing, consulting & data intelligence–igniting revenue and brand recognition for leading and emerging companies around the world. As a people-first firm, we value diversity in backgrounds and experiences. We strongly believe our people and culture are key to our success. Our vision is to be recognized as the most valued and respected private growth marketing firm in the world–with a scalable brand, culture and services. Our mission is to power the relentless pursuit of growth and redefine what’s possible through a team of growth-obsessed experts who demand innovation and results - driven by integrity, autonomy, and grit. As a full-service growth marketing firm, we offer best-in-class services including: SEO, Content Marketing, Paid Media, Social Media Marketing, Programmatic + CTV, Public Relations, Influencer Marketing, Email + SMS, Conversion Rate Optimization, Retail Marketing, and Creative. Here at Power Digital, we are hyper-focused on helping brands drive revenue growth and brand recognition, ultimately driving irrefutable value for our clients. At the heart of Power Digital is our proprietary technology, nova, which analyzes businesses through first-party data, simplifying investment planning for marketing and diligence in M&A––putting marketers in a strategic seat at the table––and providing value in unparalleled ways. Managing billions in media, our dynamic team––of consultative marketers, creatives, analysts and technologists––challenge traditional ways of planning and measurement through meticulous testing and data science across each milestone of the customer journey. *This is a remote opportunity open to current college students enrolling in an internship course for college credit Position Title: Retail Marketplace Search Ads Intern Compensation: College credit [MUST be enrolled in college course] Internship Term: Summer 2026 Desired Fields of Study: Marketing, Digital Advertising, eCommerce Hours Desired: 15-20 hours/week A day in the life: - Support our Retail Marketing Advertising team by learning the ropes of strategic Amazon selling, crafting winning ad campaigns, and assisting with paid search efforts. You'll attend client calls, collaborate on cross-channel projects, and gain a deep understanding of retail marketing through hands-on training and projects. This fast-paced role is perfect for a detail-oriented learner who thrives on data and has a passion for paid advertising Responsibilities: - Work directly under our Retail Marketing Advertising strategists & directors to support on strategy, production, and client work - Participate in trainings and complete tasks to understand Retail Advertising strategy for selling products on Amazon, Walmart, and other major retailers - Work on cross-channel accounts to develop an understanding of retail marketing and its strategy when paired with other channels across the agency - Attend client calls and strategy meetings - Develop an in-depth understanding of how to create and execute a strong and complete Advertising strategy on Amazon - Assist with advertising strategy with paid search retail ads Role Requirements: - Strong communication skills (written and verbal) - Outstanding editing and proofreading skills - Detail-oriented - Project Management - Efficient Time Management - Ability to analyze marketplace data (Revenue, Traffic, Conversion Rate, etc) - Ability to prioritize and balance multiple tasks - Deep interest in paid channels - Microsoft Suite Experience preferred Benefits & Perks: - Monthly & quarterly team bonding activities - Fun, savvy, and hard-working team(s) - Full-remote flexibility Power Digital’s people and culture are at the core of our success, which is why diversity in our team’s backgrounds and experiences are paramount. We are an Equal Opportunity Employer and our employees are people with different strengths, experiences, and backgrounds, who strive to make an impact inside and outside of the workplace. Diversity not only includes race and gender identity, but also age, disability status, veteran status, sexual orientation, religion and many other parts of one’s identity. All of our employees' points of view are key to our success, and inclusion is everyone's responsibility. Please be aware of fictitious job openings, consulting engagements, solicitations, or employment offers from suspicious sources. These engagements may be an attempt to obtain private information, or to induce you to pay a fee for services related to recruitment or training. Power Digital does NOT charge any application, processing, or training fee at any stage of the recruitment or hiring process. All genuine job openings will be posted on our careers page at https://powerdigitalmarketing.com/company/careers/. If you have any doubts about the authenticity of any messaging behalf of Power Digital, please send us an email at recruiting@powerdigital.com before taking any further action in relation to the correspondence.

• Lead, mentor, and grow a high-performing team of data scientists; set clear priorities, uphold technical excellence, and develop career paths. • Define and own the analytics and experimentation strategy across storefront, browse/aisles, search, cart, checkout, OSP, Family, Lists, and Meals/Health—covering metrics, guardrails, instrumentation, and experiment best practices. • Own core shopping metrics and event logging; improve data quality, build reusable dashboards/tools, and ensure reliable, timely insights for decision-making. • Drive “DS understand projects” that uncover friction in shopping funnels; scope root-cause analyses and partner with PM and Eng to prioritize and ship fixes that move conversion and retention. • Partner as a thought leader with Product and Engineering leadership to shape roadmaps, make tradeoffs across Enterprise, Lifecycle, Category Growth, and Foundations work, and ensure goals are measurable and achievable. • Set the bar for experiment design and readouts; coach teams on hypothesis formation, sampling, power analysis, metric selection, and clear storytelling of results and implications. • Collaborate with ML partners on ranking, recommendations, and personalization initiatives, aligning offline/online evaluation with business outcomes and shopper experience goals. • Influence and improve cross-functional rituals (e.g., experiment reviews, prioritization forums) to increase speed, rigor, and learning across the organization. • Ensure AI/agentic features are grounded in robust data and measurement frameworks, with clear definitions of success and long-term impact.