Chief Data Scientist (Remote)

TRIMEDX • Indianapolis, IN

13d • Remote

About The Position

If you are wondering what makes TRIMEDX different, it's that all of our associates share in a common purpose of serving clients, patients, communities, and each other with equal measures of care and performance. Everyone is focused on serving the customer and we do that by collaborating and supporting each other Associates look forward to coming to work each day Every associate matters and makes a difference It is truly a culture like no other — We hope you will join our team! Find out more about our company and culture here . TRIMEDX is an industry-leading, independent clinical asset management company delivering comprehensive clinical engineering services, clinical asset informatics, and medical device cybersecurity solutions to many of the largest health systems in the US. We help healthcare providers transform their clinical assets into strategic tools, driving reductions in operational expenses, optimizing clinical asset capital purchasing decisions and usage, improving caregiver satisfaction and productivity, maximizing resources for patient care, and delivering improved patient safety & protection. TRIMEDX was built by providers, for providers, and leverages a history of expert clinical engineering with data on 90-95% of in-use medical equipment in the United States and an industry-leading data set of more than 6 million medical device records. A recent study by Fortune states that global healthcare asset management market is estimated to be $215B by 2032 with a CAGR of 25.3%. The United States is the largest single market for medical devices and accounts for about 40 percent of worldwide sales (BMI Research 2015). We are looking for the Chief Data Scientist who can accelerate our growth as a thought leader in Data Science, Research, and application of models to solve complex business problems. This person will lead the Company’s efforts to create a data science practice dedicated to harnessing this proprietary data set to support commercialization of novel new market solutions to enable providers to make informed decisions regarding their clinical asset investments and utilization. This role will be one of the most prominent voices in the global medical device industry. As the Chief Data Scientist, you will be responsible for leading TRIMEDX data and AI architecture and design to help our customers increase their clinical asset utilization and reduce cost to operate. You will design our enterprise-wide AI and Machine Learning initiatives. This new role will be instrumental in shaping and implementing our AI roadmap, driving innovation through advanced data modeling, and applying automation to optimize operations across diverse data ecosystems. It involves orchestrating Agentic AI across multiple SaaS infrastructures, including, but not limited to, Snowflake, Azure, ServiceNow, and Looker. In this role, you will work with senior executives and customers to arrive at solutions that significantly lift their business and accelerate the growth.

Requirements

• Minimum of 12 years of experience in computer science, data science, Statistics or related field.
• Experience preference in machine learning, data analytics or related disciplines with a focus on algorithmic product development.
• Deep expertise in statistics, econometrics, predictive analytics, and related disciplines.
• Working experience with modeling tools and languages such as Python, PyTorch, JAX, Tensorflow, SQL, and experience deploying production models on clouds platforms (AWS, Azure, GCP).
• Must have demonstrated experience leading data driven initiatives.
• Experience leading people is preferred.
• Demonstrated experience with multi-modal LLMs. Experience with A/B testing and cocreate MLOps practice for systemic application and maintenance of the models.
• Hands on experience deploying high impact, high Throughput, highly scalable, multi-modal ML models in Azure.
• Experience in data analysis using different types of datasets with statistics and predictive modeling foundations, including PC and foundation models.
• Experience creating patents and publications and / or speaking at top conferences such as CVPR (Computer Vision and Pattern Recognition Conference), IEEE (The Institute of Electrical and Electronics Engineers), SIGKDD (Special Interest Group on Knowledge Discovery and Data Mining), AAAI (Association for the Advancement of Artificial Intelligence), NeurIPS.
• Successful and proven experience to collaborate and deliver results in a fast paced, multifaceted, matrix environment.
• Proven success at working with abstract ideas and solving complex problems while driving collaboration across various teams.
• Ability to be hands-on when necessary as well as strategic is required.
• Excellent public speaking and presentation skills; strong written and verbal communication skills.
• Ability to travel up to 50%.
• Bachelor’s degree in Statistics, Economics or related field is required, or equivalent experience.

Nice To Haves

• Master’s degree or Ph.D. in Statistics or Economics is highly preferred.

Responsibilities

• You are a strategic leader that has defined enterprise AI/ML platforms with a strong focus on LLMs, generative AI, and predictive modeling.
• You will implement model-driven features from initial concept to production, covering all stages including model creation, evaluation, performance metrics, A/B testing, drift monitoring and self-correction with feedback loops.
• You will coach and train talented engineers in their career growth and set an example for data and AI organization.
• Your experience is building pricing models, forecasting, smart work assignment are preferred.
• You stay at the forefront of AI/ML research and emerging technologies; evaluate and integrate cutting-edge tools and frameworks.
• You will foster a culture of experimentation and continuous learning within the data science team.
• You will create high levels of engagement across teams in partnership with other key leaders within broader teams.

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Number of Employees: 1,001-5,000 employees