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

• Partner with operational, planning & procurement and finance partners to understand business dynamics • Develop strategic data insights to advance initiatives in efficiency and cost optimization • Undertake research and analysis to evaluate consumer demand patterns and develop insights • Work with the executive team to undertake demand outlook analysis • Optimize operations through data leveraging and specific strategic projects • Analyze complex datasets to identify trends and translate findings into actionable insights • Develop transformation plans and undertake change management with project managers • Utilize scenario modeling and predictive analytics to support strategic planning • Conduct root cause analysis for continuous improvement initiatives

• Design, build, and ship Generative AI capabilities that power tools for technical Q&A and data understanding. • Develop agentic workflows (planning, tool use, retrieval, execution, verification) with measurable quality, reliability, and cost controls. • Build evaluation systems for GenAI: offline test sets, automated scoring, human review loops, regression suites, and production monitoring. • Deliver production-ready services and pipelines (APIs, background jobs, data processing, configuration, release workflows) with strong engineering discipline. • Partner with product, engineering, and domain experts to translate customer problems into milestones, acceptance criteria, and clear success metrics. • Improve system quality through testing, observability, performance optimization (latency and scalability), and guardrails. • Contribute to an engineering-first culture: thoughtful design docs, code reviews, and pragmatic technical decisions.

Role Description We are seeking a highly skilled and dedicated individual to join our team as a Machine Learning Model Builder. In this role, you will be responsible for designing and implementing machine learning models to solve complex business problems and drive innovation. You will work closely with our data science team to understand the data, develop models, and integrate them into our existing systems. This role requires a deep understanding of machine learning algorithms, statistical concepts, and the ability to translate these into practical applications. - Develop, implement, and validate machine learning models. - Analyze large and complex data sets to derive valuable insights. - Collaborate with cross-functional teams to understand business needs and objectives. - Continuously monitor, validate, and improve the performance of machine learning models. Qualifications - Proficiency in Python, R, or other programming languages used in machine learning. - Strong knowledge of machine learning algorithms and principles. - Experience with data modeling and evaluation. - A Bachelor's degree in Computer Science, Statistics, Mathematics, or a related field with a focus on Machine Learning; a Master's degree or Ph.D. is preferred. Requirements - Familiarity with deep learning frameworks such as TensorFlow or Keras. - Experience with natural language processing. - Knowledge of cloud platforms like AWS, Google Cloud, or Azure. - Proficiency in SQL and database management. - Experience with big data platforms like Hadoop or Spark. - Familiarity with data visualization tools such as Tableau or PowerBI. - Understanding of reinforcement learning. - Knowledge of neural networks. - Experience with distributed computing. - Familiarity with software development methodologies like Agile or Scrum. Experience - 7-10 years