Top 6 Lead machine learning engineer Jobs in Franklin, Tn

Lead Data Scientist
Work from Home —Nashville, TN
- Full-time
- 6 years
- Senior level
- Communication skills
Quick Apply
Lead Director, Software Engineering
CVS Health —Nashville, TN
- $144,200 - $288,400 a year
- Full-time
- Computer Science
- System design
- HIPAA
- Health insurance
- Dental insurance
AI Solutions Engineering Delivery Lead
PRICE WATERHOUSE COOPERS —Nashville, TN
- $122,500 - $504,500 a year
- Remote
- Azure
- Computer Science
- SQL
- Paid holidays
- Health insurance
Technical Delivery Lead - Applications, Google Cloud
Accenture —Nashville, TN
- $87,400 - $266,300 a year
- Full-time
- Hybrid work
- 6 years
- Computer Science
- SQL
- Paid holidays
- Disability insurance
14d
Lead Generative AI Data Engineer III
Deloitte —Nashville, TN
- $159,100 - $265,100 a year
- Full-time
- Management
- Computer Science
- Travel
Technical Delivery Lead - Data & Agentic Transformation, Google Cloud
Accenture —Nashville, TN
- $87,400 - $266,300 a year
- Full-time
- Hybrid work
- 6 years
- Computer Science
- SQL
- Paid holidays
- Disability insurance
14d

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Lead Data Scientist

Work from Home -
Nashville, TN

Quick Apply

Job Details

Full-time

Qualifications

6 years
Senior level
Communication skills

Full Job Description

This is OUR story... and YOUR next chapter

At HCA Healthcare, our Digital Transformation and Innovation (DT&I) team is redefining what’s possible inpatient care. By leveraging the power of artificial intelligence, automation, and digital technologies, DT&I is helping drive meaningful improvements in clinical outcomes, reduce manual workload, and expand the reach of our care teams. If you're passionate about using technology to improve human life, this is where your work truly matters

What you will accomplish in this role

Job Summary

At HCA Healthcare, we are committed to providing our patients and care providers with the highest quality of healthcare services. HCA’s Care Transformation and Innovation (CT&I) team delivers a step change in that direction through clinically led integration of digital and AI technologies into care.

Data Scientists within CT&I will play a critical role in helping us achieve this goal by actively solving for and implementing a broad range of data science solutions to drive transformational change. This includes delivery of data science products from incubation to deployment to monitoring; including solutioning for the business need, data analysis, feature engineering, building and validating models, deploying solutions to enterprise production platforms, and monitoring model performance and reliability.

This individual will be responsible for actively delivering production grade data science products; including implementing best practices, frameworks, tooling, and documentation.

They will be expected to bring hands-on expertise in predictive analytics, classification, image recognition, NLP, anomaly detection, machine learning, EDA, feature engineering, optimization, statistics, and generalized business problem solving by creatively applying AI/ML.

What you will do:

DATA INJECTION: Design and implement incoming data for feature engineering and machine learning
FEATURE CREATION AND TRANSFORMATION: Create features with usable predictive power by using domain knowledge of healthcare data, statistics, and data science
FEATURE EXTRACTION AND SELECTION: Extract features via cluster analysis, text analytics, principal components analysis and related methodologies to identify useful information without distorting original relationships or significant information in order to performance tune and promote scalability of the model
EXPLORATORY DATA ANALYSIS: Conduct data exploration and analysis to identify relevant patterns, trends, and relationships; understand the data deeply to appropriately align the data features with the appropriate machine learning methodologies
MODEL EXPERIMENTATION: Apply various statistical and machine learning techniques to develop, tune, and optimize predictive modeling to align with the use case requirements
DELIVERY: Deploy code using best practices
DOCUMENTATION: Document and present data science strategies and insights and solutions
MONITORING: Build and maintain pipelines, code, and processes to monitor the proper functioning of enterprise grade data science products
DATA AND OUTPUT QUALITY: Ensure high quality and integrity throughout the entire data science process
PRODUCT DEVELOPMENT MINDSET: Collaborate with stakeholders, data scientists, data engineers, and product managers to build and deliver high-quality data products
What qualifications you will need:

6+ years of overall experience in various aspects of data science and machine learning (for Lead level)
Expert experience in SQL and Python
Experience with structured and unstructured data (ie. tabular, text, images, video, etc)
Experience with SQL relational and non-relational databases
Experience with data processing and ETL tools (e.g Apache Spark)
Experience with data visualization and data monitoring tools
Experience with modern software engineering practices (e.g. automated testing, continuous integration and continuous development)
Experience with Docker
Experience with cloud deployments in GCP or another cloud platform
Experience with Agile development methods and tools (e.g. Azure Dev Ops)
Excellent communication and collaboration skills, with the ability to work effectively across multiple teams and stakeholders
Ability to tell a story using data and insights that drives action and change
Domain knowledge of healthcare data preferred
Expertise in healthcare protocols and formats such as HL7, FHIR, DICOM preferred
Expert in the regulatory aspects of the healthcare domain preferred
Experience in GCP platform preferred

"Good people beget good people."- Dr. Thomas Frist, Sr.
HCA Healthcare Co-Founder
We are a family 270,000 dedicated professionals! Our Talent Acquisition team is reviewing applications for our Lead Data Scientist opening. Qualified candidates will be contacted for interviews. Submit your resume today to join our community of caring!
We are an equal opportunity employer. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.

Quick Apply

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lead machine learning engineer jobs in franklin, tn

Lead Data Scientist

Lead Director, Software Engineering

AI Solutions Engineering Delivery Lead

Technical Delivery Lead - Applications, Google Cloud

Lead Generative AI Data Engineer III

Technical Delivery Lead - Data & Agentic Transformation, Google Cloud

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