Data Scientist

New York, NY, USA Req #28131
Tuesday, May 27, 2025

Company Overview and Culture 

EXL (NASDAQ: EXLS) is a leading data analytics and digital operations and solutions company. We partner with clients using a data and AI-led approach to reinvent business models, drive better business outcomes and unlock growth with speed. EXL harnesses the power of data, analytics, AI, and deep industry knowledge to transform operations for the world's leading corporations in industries including insurance, healthcare, banking and financial services, media and retail, among others. EXL was founded in 1999 with the core values of innovation, collaboration, excellence, integrity and respect. We are headquartered in New York and have more than 55,000 employees spanning six continents. For more information, visit http://www.exlservice.com.



Company:           ExlService.com, LLC

Location:             320 Park Avenue, 29th Floor, New York, NY 10022

Position Title:     Data Scientist

 

 

Job Description:

 

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. 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. Telecommuting permitted.

 

Job Requirements:

 

Requires Master’s degree, or foreign equivalent, 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.  Requires 3 years of professional experience in in building machine learning/NLP models. Must have 3 years of experience with each of the following: 1) building and deploying ML classification models using Python and ML libraries including, TensorFlow, Keras, Scikit-Learn, and PyTorch; (2) statistics, segmentation, clustering, linear and logistic predictive models, and machine learning models, including Random Forest and Ensemble; (3) Distributed data warehouses or data lakes; (4) cloud database; (5) building and implementing Neural networks and Deep Learning models; (6) performing statistical analysis,

data exploration, and data visualization using Python and ML libraries, including Numpy, Pandas, and Matplotlib ; and (7) gathering, preprocessing and compiling data from various sources using SQL. Employer will also accept a Bachelor's degree in information systems, computer science, computer engineering or a related quantitative technical field in lieu of a Master’s degree plus three (3) years of experience as a Data Scientist or a related occupation.

 

40 hours/week, 9:00am-5:00pm, Salary range $171,000 to $175,000 per year.

 

To apply: Send resume & cover letter to [email protected]. Must cite job title and code EXL06 in response. This notice is subject to ExlService.com, LLC's employee referral program. EEO/Minorities/Females/Vets/Disabilities.

 

EEO/Minorities/Females/Vets/Disabilities 

To view our total rewards offered click here —> https://www.exlservice.com/us-careers-and-benefits
 
Base Salary Range Disclaimer: The base salary range represents the low and high end of the EXL base salary range for this position. Actual salaries will vary depending on factors including but not limited to: location and experience. The base salary range listed is just one component of EXL's total compensation package for employees. Other rewards may include bonuses, as well as a Paid Time Off policy, and many region specific benefits. 
 
Please also note that the data shared through the job application will be stored and processed by EXL in accordance with the EXL Privacy Policy. 

Application & Interview Impersonation Warning – Purposely impersonating another individual when applying and / or participating in an interview in order to obtain employment with EXL Service Holdings, Inc. (the “Company”) for yourself or for the other individual is a crime.  We have implemented measures to deter and to uncover such unlawful conduct.  If the Company identifies such fraudulent conduct, it will result in, as applicable, the application being rejected, an offer (if made) being rescinded, or termination of employment as well as possible legal action against the impersonator(s).

EXL may use artificial intelligence to create insights on how your candidate information matches the requirements of the job for which you applied. While AI may be used in the recruiting process, all final decisions in the recruiting and hiring process will be taken by the recruiting and hiring teams after considering a candidate’s full profile. As a candidate, you can choose to opt out of this artificial intelligence screening process. Your decision to opt out will not negatively impact your opportunity for employment with EXL.

Other details

  • Pay Type Salary
Location on Google Maps
  • New York, NY, USA