Lead Data Scientist - Hybrid (PA/NJ/DE)
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Our organization is looking for dynamic individuals who love to learn, thrive on innovation, and are open to exploring new ways to achieve our goals. If this describes you, we want to speak with you. You can help us achieve our vision to lead nationally in innovating equitable whole-person health.
Job Summary:
Independence Blue Cross (IBX) is seeking a highly skilled and experienced Lead or Principal Data Scientist to join our dynamic Data Science team. This is a senior, hands-on role responsible for providing technical leadership, scientific oversight, and mentorship to a team of talented data scientists. You will be instrumental in driving the scientific rigor of our machine learning projects, from ideation to deployment, ensuring they align with industry-standard governance and project management frameworks. The ideal candidate is a seasoned expert in building and deploying machine learning models, with a passion for guiding and developing junior team members. You will collaborate closely with our ML Engineer, MLOps Engineer, Data Engineer, and infrastructure teams to ensure our data scientists have the robust data and technical environment needed to innovate and deliver impactful solutions that improve the health and well-being of our members.
Key Responsibilities:
- Technical Leadership and Mentorship: Provide scientific oversight and guidance to data scientists on the team. This includes leading ideation sessions on new project approaches, reviewing initial exploratory data analysis (EDA), and offering expert input on feature selection, feature development, model building, and model selection.
- Scientific Best Practices and Governance: Champion and implement best practices for the full data science lifecycle. Ensure project execution aligns with the CRISP-DM methodology and that all projects adhere to the principles of the NIST AI Risk Management Framework (AI RMF) to ensure responsible, ethical, and governable AI development.
- Hands-On Model Development: Act as a significant individual contributor by building, experimenting with, and deploying sophisticated machine learning models (e.g., classification and regression) that are widely used throughout the business.
- Innovative Feature Engineering: Explore and apply advanced techniques for feature development, including the use of Generative AI to create novel features for traditional machine learning models.
- Cross-Functional Collaboration: Serve as a key technical liaison, interfacing seamlessly with our ML Engineer, MLOps Engineer, and Data Engineers to ensure smooth model deployment and productionalization. You will also partner with infrastructure teams to guarantee that the data science team has the necessary data access and technical stack to perform their work efficiently.
- Project Ideation and Scoping: Work with business stakeholders and the data science team to identify high-impact business problems and translate them into well-defined data science projects.
- Fostering Innovation: Stay current with the latest advancements in data science, machine learning, and generative AI, and encourage a culture of continuous learning, experimentation, and innovation within the team.
Qualifications:
- Education: Master's degree or Ph.D. in Computer Science, Statistics, Mathematics, Engineering, or a related quantitative field.
- Experience:
- 7+ years of hands-on experience in data science, with a proven track record of building and deploying impactful machine learning models in a production environment.
- Extensive experience in a healthcare-related field or working with complex healthcare data (e.g., claims, EMR/EHR) is strongly preferred.
- Demonstrated experience in a senior or lead role, including mentoring junior data scientists and providing technical oversight on projects.
- 7+ years of hands-on experience in data science, with a proven track record of building and deploying impactful machine learning models in a production environment.
- Technical Skills & Knowledge:
- Expert-level proficiency in Python and SQL.
- Deep, hands-on experience with machine learning frameworks and libraries (e.g., Scikit-learn, TensorFlow, PyTorch).
- Proven experience with cloud platforms, preferably Google Cloud Platform (GCP), and tools such as Vertex AI and BigQuery.
- Familiarity with applying data science project methodologies (e.g., CRISP-DM) and AI governance frameworks (e.g., NIST AI Risk Management Framework).
- Experience with MLOps principles and collaborating with engineering teams to deploy and monitor models.
- Some experience with or a strong interest in generative AI, particularly its application in feature development for traditional machine learning models.
- Expert-level proficiency in Python and SQL.
- Leadership and Collaboration:
- Exceptional problem-solving skills with the ability to think creatively and strategically about complex business and technical challenges.
- Excellent communication and interpersonal skills, with the ability to explain complex scientific concepts to both technical and non-technical audiences.
- A collaborative spirit and the ability to work effectively in a team-oriented environment, fostering the growth and development of colleagues.
- Exceptional problem-solving skills with the ability to think creatively and strategically about complex business and technical challenges.
Hybrid
Independence has implemented a “Hybrid” model which consists of Associates working in the office 3 days a week (Tuesday, Wednesday & Thursday) and remotely 2 days a week (Monday & Friday). This role is designated as a role that fits into the “Hybrid” model. While associates may work remotely on our designated remote days, the work must be performed in the Tri-State Area of Delaware, New Jersey or Pennsylvania.
IBX is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to their age, race, color, religion, sex, national origin, sexual orientation, protected veteran status, or disability.
Must have an Android or iOS device which is compatible with the free Microsoft Authenticator app.
Inclusion and Belonging
At IBX, everyone can feel valued, supported, and comfortable to be themselves, and all associates have a fair opportunity to achieve their full potential. We put these principles into action every day by acting with integrity and respect. Celebrating and embracing diverse thoughts and perspectives that make up our workforce means our company is more vibrant, innovative, and better able to support the people and communities we serve.
About Our Company
Serving more than 8 million people nationwide, including 2.5 million in southeastern Pennsylvania, Independence Health Group — together with its subsidiaries — is the leading health insurance organization in the Philadelphia region. Our mission to build healthier lives for you, your family, and your employees shapes our actions and decisions every day.
At Independence, we see each of our members as an individual, with unique needs and concerns. We’re dedicated to harnessing the very latest ideas and technologies to deliver access to care that meets those needs and surpasses your expectations. For more information about Independence access our website at www.ibx.com. We’re revolutionizing health care, and our focus is on you!
Equal Employment Opportunity
IBX is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to their age, race, color, religion, sex, national origin, sexual orientation, protected veteran status, or disability.
Agency Disclaimer
All resumes submitted directly to an Independence Blue Cross employee from a vendor via email, the Internet or in any other form without a valid written search agreement in place for this position from the Independence Blue Cross Family of Companies Human Resources Department will be deemed the sole property of Independence Blue Cross and the Independence Blue Cross Family of Companies. Please note that no fee will be paid in the event the candidate is hired by Independence Blue Cross or the Independence Blue Cross Family of Companies as a result of the referral or through means other than our established process.