Senior Data Scientist

Northwestern Memorial Healthcare • Chicago, IL

1d

About The Position

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 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

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.
• 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.

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.

What This Job Offers

• Career Level: Mid Level
• Number of Employees: 1,001-5,000 employees