Senior Data Scientist – CVS Remote Jobs

Job Type: Senior Data Scientist from home
Location: New Jersey work from home
Company: CVS Health

America’s top health solutions provider, CVS Health, offers care in unique ways. Bringing our hearts to every moment of your health is our simple yet compelling goal. Not simply the healthcare we offer is what makes CVS Health unique. It’s how we provide it to you. By expanding access, bringing down costs, and serving as a reliable partner for every significant moment of health, we assist people in navigating the healthcare system and their own personal health care.

By integrating significant insights into important decision-making processes and concentrating on our biggest, most difficult problems, Analytics & Behavior Change serves as an innovation engine for the whole CVS Health company. Join Analytics & Behavior Transform to change the face of the healthcare business and make a real impact on our communities through data and analytics!

The Enterprise Data & Machine Learning team is home to this role. The EDML team focuses on the design and development of data and machine learning platforms with the goal of increasing the effectiveness and productivity of thousands of other data scientists and engineers across the business. This foundation will enable hundreds of millions of member and customer touchpoints that are ML enabled. With the potential to become a new internal standard, an OSS project, or a differentiating intellectual asset, our work is ambitious and far-reaching.

Responsibilities:

• Contribute to the development of our enterprise ML & Feature Platform’s design and roadmap.
• Develop and implement solutions and packages with a focus on other data scientists.
• Uses MLOps design patterns that take best practices into account.
• Creates, evaluates, and implements ML pipelines.
• Collaborate cross-functionally with engineers, scientists, and product.
• Identifies possibilities for the creation of remedies connected to the data science lifecycle.
• Adopts a systems and product mentality while creating large-scale solutions.
• Utilize data to guide strategy and design decisions, as well as to track performance and results to show effectiveness.
• Petabytes of health care data can be analyzed using statistics and machine learning.
• Mentor young data scientists across the entire organization.
• Energizes teammates and inquires into specifics while encouraging others to do the same.
• Inspire a culture that is data-driven.

Pay Range

The typical pay range for this role is:

Minimum: 90,000
Maximum: 180,000

Please remember that this range represents the salary range for every position in the job grade that this position belongs to. The location is just one of several variables that will be considered when determining the actual compensation offer.

Requirements:

• Working as a data scientist or machine learning engineer for at least three years.
• Python, SQL, and Git programming experience of at least three years.
• 3+ years of experience designing and implementing machine learning or predictive models in a cloud environment (e.g., GCP, AWS, Azure).
• Demonstrated expertise in creating or assisting in creating data science products.
• Technical innovation track record and use of cutting-edge machine learning methods.
• Demonstrated aptitude for analysis and problem-solving

Preferred Requirements

• Knowledge of creating and deploying machine learning pipelines on the cloud, such as Airflow, Kubeflow/Argo, Metaflow, or Prefect (e.g., GCP, AWS, or Azure).
• A thorough understanding of the engineering principles underlying machine learning, including complex data structures and distributed/parallel computing techniques.
• Comprehensive knowledge of MLOps, experiment design, and learning principles.
• Familiarity with machine learning frameworks like TensorFlow, Scikit-Learn, and PyTorch.
• Knowledge of contemporary libraries like Dask, Ray, Arrow, and Rapids.
• Familiarity with computer vision and natural language processing.
• Excellent written and verbal communication skills with clients who are not technically savvy.

Education

• A bachelor’s degree in mathematics, statistics, computer science, business analytics, economics, physics, engineering, or a closely related field, or the equivalent in work experience
• Ph.D. or master’s degree recommended