Data Scientist  - C2

Description/Fundamental Components  

• Develops complex algorithms and ML predictive models and determines analytical approaches and ML/AI modeling techniques to solve complex algorithmic problems 
• Performs analyses of structured and unstructured data to solve multiple and complex business problems   
• Demonstrated/Deployed ML solutions for both Supervised and Clustering problems using advanced statistical techniques with various algorithmic techniques such as Gradient Boosting Machines, SVM, etc.  
• Applies analytical rigor and statistical methods to analyze large amounts of data, using advanced statistical techniques   
• Manages large and complex analytical projects from data exploration, model building, performance evaluation and testing   
• Collaborates with business partners to develop technical /business approaches and new or enhanced technical tools   
• Interacts with internal and external peers and management to share highly complex information related to areas of expertise and/or to gain acceptance of new or enhanced technology / business solutions  

 

Required Qualifications 

• 3+ or more years of progressively complex ML development and deployment experience  
• Demonstrates proficiency in all areas of mathematical analysis methods, machine learning, statistical analyses, and predictive modeling and advanced in-depth specialization in some areas 
• 2+ or more year python experience with various data science development environment such as Vertex.ai  
• 3+ Professional level SQL experience with public cloud platforms such as GCP and AWS 

Preferred Qualifications  

• Strong skills to effectively communicate and negotiate across business and in the external health care environment  
• Excellent analytical and problem-solving skills  
• Deep knowledge of advanced analytics tools and languages to analyze large data sets from multiple data sources  
• Solid understanding of health care industry, products, and systems  
• Demonstrates a strong ability to communicate technical concepts and implications to business partners  
• Experience with Deep Learning algorithms using Torch or TensorFlow 

 Education  

• Bachelor's degree or equivalent work experience in Mathematics, Statistics, Computer Science, Business Analytics, Economics, Physics, Engineering, or related discipline.   

Master’s degree or PhD preferred  

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 54,000 employees spanning six continents. For more information, visit www.exlservice.com.

EXL never requires or asks for fees/payments or credit card or bank details during any phase of the recruitment or hiring process and has not authorized any agencies or partners to collect any fee or payment from prospective candidates. EXL will only extend a job offer after a candidate has gone through a formal interview process with members of EXL’s Human Resources team, as well as our hiring managers.