The Data Scientist at EXLService.com, LLC in New York, NY, will be part of the digital team within EXL Health building healthcare cloud platforms. Develop and convert legacy processes to AI-based healthcare products. Convert existing traditional predictive models to Machine Learning (ML) based models.
Responsibilities- Design and develop new ML/Natural Language Processing (NLP) models.
- Design, train, and implement ML/deep learning architectures.
- Establish evaluation metrics, analyze performance, brainstorm on future steps/expansion, and perform Exploratory Data Analysis (EDA) and data visualization.
- Build multi-feature ML classification model for various clinical programs/clients.
- Design and develop natural language processing (NLP) models to work on unstructured medical records to improve our in-house algorithms.
- Oversee delivery of results with analytic insights, interpretations, and recommendations.
- Review analytic deliverables; identify and resolves data issues and provide recommendations for investigations.
- Design, develop-evolve, and implement processes and procedures to ensure compliance with governance policies.
- Propose new and state-of-the-art technologies and processes that will improve efficiency and enhance the reporting platform.
- Position may work at various and unanticipated worksites throughout the United States. Telecommuting permitted.
Requires Master’s degree in Information Systems, Computer Science, Computer Engineering or a related quantitative technical field plus three (3) years of Experience as a Data Scientist or a related occupation.
Must have at least three (3) years of experience with the following:
- Building machine learning/NLP models.
- Building and deploying ML classification models using Python and ML libraries including, TensorFlow, Keras, Scikit-Learn, and PyTorch.
- Statistics, segmentation, clustering, linear and logistic predictive models, and machine learning models, including Random Forest and Ensemble.
- Distributed data warehouses or data lakes.
- Cloud database.
- Building and implementing Neural networks and Deep Learning models.
- Performing statistical analysis, data exploration, and data visualization using Python and ML libraries, including Numpy, Pandas, and Matplotlib.
- Gathering, preprocessing and compiling data from various sources using SQL.
Alternatively, the employer also accept a Bachelor’s degree in Information Systems, Computer Science, Computer Engineering or a related quantitative technical field plus five (5) years of experience as a Data Scientist or a related occupation in lieu of a Master’s degree plus three (3) years of described experience.
Must have at least five (5) years of experience with the following:
- Building machine learning/NLP models.
- Building and deploying ML classification models using Python and ML libraries including, TensorFlow, Keras, Scikit-Learn, and PyTorch.
- Statistics, segmentation, clustering, linear and logistic predictive models, and machine learning models, including Random Forest and Ensemble.
- Distributed data warehouses or data lakes.
- Cloud database.
- Building and implementing Neural networks and Deep Learning models.
- Performing statistical analysis, data exploration, and data visualization using Python and ML libraries, including Numpy, Pandas, and Matplotlib.
- Gathering, preprocessing and compiling data from various sources using SQL.
40 hours/week, 9:00am-5:00pm, Salary range: $173,000 to $175,000 per year.
To apply: Send resume and cover letter to [email protected]. Must cite job title and code EXL92 in response. This notice is subject to ExlService.com, LLC's employee referral program. EEO/Minorities/Females/Vets/Disabilities.
Skills Required
- Master’s degree in Information Systems, Computer Science, Computer Engineering, or a related quantitative technical field
- Three years of experience as a Data Scientist or in a related occupation
- Building machine learning and natural language processing models
- 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 and cloud databases
- Building and implementing neural networks and deep learning models
- Performing statistical analysis, data exploration, and visualization using NumPy, Pandas, and Matplotlib
- Gathering, preprocessing, and compiling data from multiple sources using SQL
- Bachelor’s degree in Information Systems, Computer Science, Computer Engineering, or a related quantitative technical field, plus five years of related experience, may substitute for the master’s degree and three years of experience
What We Do
Choosing a digital partner is about more than capabilities — it’s about collaboration and character. Unrealistic overhauls and off-the-shelf products ignore what matters most — your unique needs, culture, goals, and your legacy data and technology environments. At EXL, our collaboration is built on ongoing listening and learning to adapt our methodologies. We’re your business evolution partner—tailoring solutions that make the most of data to make better business decisions and drive more intelligence into your increasingly digital operations. Whether your goals are scaling the use of AI and digital, redesign operating models, or driving better and faster decisions, we’re here to partner with you to help you gain—and maintain—competitive advantage with efficient, sustainable models at scale. Our expertise in transformation, data science, and change management helps make your business more efficient and effective, improve customer relationships and enhance revenue growth. Instead of focusing on multi-year, resource- and time-intensive platform designs or migrations, we look deeper at your entire value chain to integrate strategies with impact. We use our specialization in analytics, digital interventions, and operations management—alongside deep industry expertise — to deliver solutions that help you outperform the competition. At EXL, it’s all about outcomes—your outcomes—and delivering success on your terms. Share your goals with us and together, we’ll optimize how you leverage data to drive your business forward. For more information, visit www.exlservice.com.
