Senior Data Scientist 

The salary range for this position is $47.68 - $79.80 (Hourly Rate)

Placement within the salary range is dependent on several factors such as relevant work experience and internal equity. For positions represented by a labor union, placement within the salary range is guided by the rules outlined in the collective bargaining agreement.

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 located at jobs.nm.org/benefits to learn more.

Northwestern Medicine is powered by a community of colleagues who are purpose-driven and committed to our mission to deliver world-class care. Here, you'll work alongside some of the best clinical talent in the nation leading the way in medical innovation and breakthrough research with Northwestern University Feinberg School of Medicine.

We recognize where you've been, and we support where you're headed. We celebrate diverse perspectives and experiences, which fuel our commitment to equity and culture of service.

Grow your career with comprehensive training and development opportunities, mentorship programs, educational support and student loan repayment.

Create the life you envision for yourself with flexible work options, a Reimbursable Well-Being Fund and a Total Rewards package that support your physical, mental, emotional, and financial well-being.

Make a difference through volunteer opportunities we offer in local communities and drive inclusive change through our workforce-led resource groups.

From discovery to delivery, come help us shape the future of medicine.

Description

Job Title:

Senior Data Scientist

 

Location:

Chicago, IL

 

Base Salary Compensation: $99,174.4 - $165,981.375

 

 

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 our remote work policy.

 

Requirements:

Master’s 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; and 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.

 

Equal Opportunity

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.

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.