Data Scientist, Innovation Specialist

11 hours ago

Chicago, Illinois, United States Northwestern Memorial Healthcare Full time
Job Title: Data Scientist, Innovation

We are seeking a highly skilled Data Scientist to join our Innovation team at Northwestern Medicine. As a Data Scientist, you will play a critical role in driving innovation and improving healthcare outcomes through data-driven solutions.

About the Role

The Data Scientist will work closely with stakeholders to design, build, and evaluate solutions that solve business and clinical problems within the organization. You will use data, statistics, and machine learning tools to construct solutions that meet the requirements of the problem and deliver those solutions to make a tangible impact.

Responsibilities
  • Design and develop data-driven solutions to address business and clinical problems
  • Collaborate with stakeholders to understand their needs and translate them into data-driven solutions
  • Develop and deploy machine learning models to improve healthcare outcomes
  • Work with cross-functional teams to implement data-driven solutions
  • Stay up-to-date with the latest advancements in data science and healthcare
Requirements
  • Bachelor's degree or equivalent experience in CS, Engineering, Math, Physics, or a related field
  • At least 3 years of experience with machine learning with a focus on model building, analysis of outcomes, and model deployment into usage
  • Strong coding skills in general purpose programming languages like Python or R
  • Experience with machine learning algorithms and frameworks like scikit-learn (sklearn) or SparkML for building and evaluating models
  • Strong understanding of SQL for data manipulation and extraction from databases
  • Strong problem-solving skills with the ability to analyze complex problems, break them down into manageable tasks, and develop effective solutions
  • Ability to work effectively in interdisciplinary teams, including clinicians, to understand their needs and translate them into data-driven solutions
  • Stakeholder management skills with experience building and growing relationships with stakeholders to ensure alignment and successful implementation of data-driven solutions
  • Continuous learning mindset with a willingness to stay up-to-date with the latest advancements in data science and healthcare
Preferred Qualifications
  • Master's degree or equivalent experience in CS, Engineering, Math, Physics, or a related field
  • Experience running projects from inception to deployment
  • Experience with deep learning frameworks, such as PyTorch, for building and training neural networks
  • Knowledge of Natural Language Processing techniques and libraries, such as NLTK or spaCy, for text analysis and processing
  • Familiarity with Computer Vision concepts and frameworks, like OpenCV, for image analysis and object detection
  • Experience using cloud platforms like Azure for scalable data processing and model deployment
  • Domain knowledge in healthcare. Understanding of healthcare terminology, workflows, and challenges, enabling effective collaboration with clinicians and healthcare professionals
  • Systems level thinking. Ability to think about how a solution will be used and identify other components that need to be built or integrated
  • Product mindset. Able to design for solving the current problem reliably, but also so the solution can be applied to other problems. Design systems so they can be maintained
About Northwestern Medicine

Northwestern Medicine is an affirmative action/equal opportunity employer 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.

If we offer you a job, we will perform a background check that includes a review of any criminal convictions. A conviction does not disqualify you from employment at Northwestern Medicine. We consider this on a case-by-case basis and follow all state and federal guidelines.

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