Associate Data Scientist Co-op

Baxter•Skaneateles Falls, NY

About The Position

This is where your work makes a difference. At Baxter, we believe every person—regardless of who they are or where they are from—deserves a chance to live a healthy life. It was our founding belief in 1931 and continues to be our guiding principle. We are redefining healthcare delivery to make a greater impact today, tomorrow, and beyond. Our Baxter colleagues are united by our Mission to Save and Sustain Lives. Together, our community is driven by a culture of courage, trust, and collaboration. Every individual is empowered to take ownership and make a meaningful impact. We strive for efficient and effective operations, and we hold each other accountable for delivering exceptional results. Here, you will find more than just a job—you will find purpose and pride. The Associate Data Scientist Co-op will work closely with the R&D team to explore the potential of utilizing data for intelligent algorithms for healthcare. We do Machine learning and data science, and use Data engineering, DevOps, and good software engineering methods for designing great products.

Requirements

Knowledge in Transformers, LLM, and related technologies
Knowledge of Machine learning is a requirement for this role—the ability to understand the ML algorithms and implement them / use the ML state-of-the-art techniques for solving our day-to-day problems.
Master's or PhD students with the skillset

Nice To Haves

A deep understanding of ML techniques and ML platforms is an added advantage.
Knowledge of Data Engineering, Big Data, cloud, Kubernetes, etc, would be helpful.
Knowledge in DevOps, MLops, Kubernetes, Docker, containers, CI/CD, Azure, or related cloud technologies.
Knowledge in the DevOps/ microservices area is good to have but not a requirement.

Responsibilities

Knowledge in Transformers, LLM, and related technologies
Knowledge of Machine learning is a requirement for this role—the ability to understand the ML algorithms and implement them / use the ML state-of-the-art techniques for solving our day-to-day problems.
A deep understanding of ML techniques and ML platforms is an added advantage.
Knowledge of Data Engineering, Big Data, cloud, Kubernetes, etc, would be helpful.
Knowledge in DevOps, MLops, Kubernetes, Docker, containers, CI/CD, Azure, or related cloud technologies.
Literature review on the state-of-the-art techniques and algorithms on retina image analysis for disease detection and screening.
Experiment and build algorithm prototypes using the above data for potential applications.
Able to write code/scripts in Python (preferably), or any other programming languages, like Java, C#, etc.
Perform Data analytics on the existing data collections for different application needs.
Collect Data further as needed and organize the data for future easy use.
Document all the work and document the data sets.
Ability to learn quickly and communicate effectively with team members.

Benefits

medical and dental coverage that start on day one
insurance coverage for basic life, accident, short-term and long-term disability, and business travel accident insurance
Employee Stock Purchase Plan (ESPP), with the ability to purchase company stock at a discount
401(k) Retirement Savings Plan (RSP), with options for employee contributions and company matching
Flexible Spending Accounts
educational assistance programs
paid holidays
paid time off ranging from 20 to 35 days based on length of service
family and medical leaves of absence
paid parental leave
commuting benefits
Employee Discount Program
Employee Assistance Program (EAP)
childcare benefits