Data Scientist - Optimization Specialist (LP/NLP)

Company Overview and Culture EXL (NASDAQ: EXLS) is a global analytics and digital solutions company that partners with clients to improve business outcomes and unlock growth.
Bringing together deep domain expertise with robust data, powerful analytics, cloud, and AI, we create agile, scalable solutions and execute complex operations for the world’s leading corporations in industries including insurance, healthcare, banking and financial services, media, and retail, among others.
Focused on creating value from data for driving faster decision-making and transforming operating models, EXL was founded on the core values of innovation, collaboration, excellence, integrity and respect.
Headquartered in New York, our team is over 40,000 strong, with more than 50 offices spanning six continents.
For information, visit www.
exlservice.
com.
For the past 20 years, EXL has worked as a strategic partner and won awards in its approach to helping its clients solve business challenges such as digital transformation, improving customer experience, streamlining business operations, taking products to market faster, improving corporate finance, building models to become compliant more quickly with new regulations, turning volumes of data into business opportunities, creating new channels for growth and better adapting to change.
The business operates within four business units: Insurance, Health, Analytics, and Emerging businesses.
Data Scientist – Optimization Specialist (LP/NLP) Location: US (Remote) About the job EXL is a trusted partner to many Fortune 500 organizations, serving their digital and analytics needs for 20+ years.
We have been recognized by Everest Group in 2023 as a Leader in Advanced Analytics and Insights Services, solidifying our commitment to excellence.
We are seeking an experienced and passionate Data Scientist who has strong theoretical knowledge and practical experience in operations research techniques such as mathematical programming (Linear & Non-Linear programming), Heuristic/ Metaheuristics algorithms & Stochastic modeling.
Role and Responsibilities: • Collaborate with cross-functional teams to understand business requirements & translate them into optimization problems • Mathematically formulate objective function & constraints for complex optimization problems • Design & implement optimization models for various business challenges • Conduct thorough analysis of optimization results to ensure accuracy & relevance • Document & present findings, solutions & methodologies to both technical and non-technical audiences Requirement/Competencies: • Bachelor’s or Master’s (preferred) degree in in a quantitative or technical field such as Computer Science, Data Science, Computer Engineering or equivalent • 4+ years of experience in Data Science and 2+ years of experience building optimization models for various business use cases • Strong theoretical background & practical industry experience in Operations Research techniques such as Mathematical Programming (Linear Programming, Non-Linear Programming, Mixed-Integer Linear Programming), Heuristic/ Metaheuristics algorithms & Stochastic modeling • Experience running optimization models in Python using packages like PuLP, PYOMO, CVXPY etc.
• Experience working with CPLEX • Demonstrated interest in learning about emerging data science and optimization tools and techniques • Strong communication, problem solving, and organizational skills • Ability to work collaboratively with variety of business, data science & technical stakeholders 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.
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(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).
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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.