Data Scientist

Jobtailor; New York (NY); On-site; USD 120,000 - 180,000; Full time

Job summary

Jobtailor is seeking a Data Scientist to design and develop ML and NLP models for clinical programs. You will train architectures, establish evaluation metrics and expand analytics capabilities. The role involves handling unstructured medical records and delivering actionable insights to stakeholders.

The candidate will work across teams to ensure governance and deploy cutting-edge technologies, with travel to various U.S. sites as needed. Excellent Python and ML toolkit proficiency is required.

Qualifications

• Master’s degree in Information Systems, Computer Science, Computer Engineering, or a related quantitative technical field plus 3 years of experience as a Data Scientist or in a related occupation
• Alternative: Bachelor’s degree in one of the listed fields plus 5 years of experience in lieu of a Master’s degree plus 3 years of experience
• At least 3 years of experience building machine learning/NLP models, or at least 5 years under the bachelor’s alternative
• Experience building and deploying ML classification models using Python, TensorFlow, Keras, Scikit-Learn, and PyTorch
• Experience with statistics, segmentation, clustering, linear and logistic predictive models, Random Forest, and Ensemble models
• Experience with distributed data warehouses or data lakes
• Experience with cloud databases
• Experience building and implementing neural networks and deep learning models
• Experience performing statistical analysis, data exploration, and data visualization using Python, NumPy, Pandas, and Matplotlib
• Experience gathering, preprocessing, and compiling data from various sources using SQL
• Availability for 40 hours/week, 9:00am–5:00pm

Responsibilities

• Design and develop new machine learning and NLP models
• Design, train, and implement ML and deep learning architectures
• Establish evaluation metrics, analyze performance and create future expansion plans
• Build multi-feature ML classification models for clinical programs and clients
• Design NLP models for unstructured medical records to improve in-house algorithms
• Oversee delivery of results with analytic insights and recommendations
• Review analytic deliverables and resolve data issues
• Ensure governance compliance in processes and procedures
• Propose state-of-the-art technologies to improve reporting platform
• Work at various worksites throughout the United States

Skills

Machine Learning

NLP Model Development

Python Programming

Deep Learning

Statistical Analysis

SQL

TensorFlow

Keras

Scikit-Learn

PyTorch

Education

Master's degree in Information Systems / Computer Science / Computer Engineering

Bachelor's degree in related field with experience

Tools

NumPy

Pandas

Matplotlib

TensorFlow

Keras

Scikit-Learn

PyTorch

Cloud Databases

Distributed Data Warehouses

Job description

• Design and develop new machine learning and Natural Language Processing (NLP) models
• Design, train, and implement ML and deep learning architectures
• Establish evaluation metrics, analyze performance, brainstorm future steps and expansion, and perform exploratory data analysis and data visualization
• Build multi-feature ML classification models for various clinical programs and clients
• Design and develop NLP models for unstructured medical records to improve in-house algorithms
• Oversee delivery of results with analytic insights, interpretations, and recommendations
• Review analytic deliverables, identify and resolve data issues, and recommend investigations
• Design, develop, evolve, and implement processes and procedures ensuring compliance with governance policies
• Propose state-of-the-art technologies and processes to improve efficiency and enhance the reporting platform
• Work at various and unanticipated worksites throughout the United States

Requirements

• Master’s degree in Information Systems, Computer Science, Computer Engineering, or a related quantitative technical field plus 3 years of experience as a Data Scientist or in a related occupation
• Alternatively, Bachelor’s degree in one of the listed fields plus 5 years of experience in lieu of a Master’s degree plus 3 years of experience
• At least 3 years of experience building machine learning/NLP models, or at least 5 years under the bachelor’s alternative
• Experience building and deploying ML classification models using Python, TensorFlow, Keras, Scikit-Learn, and PyTorch
• Experience with statistics, segmentation, clustering, linear and logistic predictive models, Random Forest, and Ensemble models
• Experience with distributed data warehouses or data lakes
• Experience with cloud databases
• Experience building and implementing neural networks and deep learning models
• Experience performing statistical analysis, data exploration, and data visualization using Python, NumPy, Pandas, and Matplotlib
• Experience gathering, preprocessing, and compiling data from various sources using SQL
• Availability for 40 hours/week, 9:00am–5:00pm

Core Competencies

Demonstrates expertise in designing and developing machine learning and Natural Language Processing models, with a strong focus on building and deploying classification models and performing statistical analysis. Proficient in utilizing various programming tools and methodologies to enhance data-driven decision-making in clinical settings.

Highest-signal resume keywords

• Machine Learning Model Development
• Natural Language Processing
• Python Programming
• Deep Learning Architectures
• Statistical Analysis

ATS Optimization Keywords

Hard Skills

• Machine Learning
• NLP Model Development
• Deep Learning
• Statistical Analysis
• Data Visualization
• SQL
• TensorFlow
• Keras
• Scikit-Learn
• PyTorch

Industry Keywords

• Clinical Programs
• Data Governance
• Exploratory Data Analysis
• Performance Metrics
• Data Issues Resolution

Tools & Technologies

• Python
• NumPy
• Pandas
• Matplotlib
• Cloud Databases
• Distributed Data Warehouses