Data Scientist

Data Scientist – AI Enabled Call Center Efficiency and CEX

The successful candidate will lead end-to-end Next Best Action (NBA) strategy, delivery, and optimization initiatives. This role combines advanced analytics, business problem-solving, campaign decisioning, and operational ownership to drive personalized member engagement across lines of business.

Responsibilities

• Lead the development and implementation of NBA strategies that enhance member engagement and satisfaction.
• Develop and maintain predictive models using machine learning techniques to inform campaign decisions.
• Collaborate with cross-functional teams to ensure alignment between data-driven insights and operational needs.
• Measure and optimize NBA campaigns to maximize ROI and member outcomes.
• Communicate findings and recommendations to stakeholders, including executive leadership and client-facing teams.

Requirements

• Bachelor’s degree in Computer Science, Statistics, Mathematics, or a related field.
• Minimum 5 years of experience in data science, analytics, or a similar role.
• Experience with statistical analysis, machine learning, and data modeling.
• Strong proficiency in Python, R, SQL, and other relevant programming languages.
• Excellent understanding of data visualization tools such as Tableau or Power BI.
• Experience with cloud-based platforms like AWS or Google Cloud.
• Proven ability to manage multiple projects simultaneously and meet deadlines.

Qualifications

• Advanced degree in a quantitative field (Master’s or PhD preferred).
• Experience with large-scale data sets and distributed computing frameworks.
• Knowledge of customer experience (CEX) metrics and methodologies.
• Experience with call center operations and customer relationship management systems.

Skills

• Strong analytical and problem-solving skills.
• Excellent communication and interpersonal skills.
• Ability to work independently and as part of a team.
• Proficiency in data storytelling and presenting complex data insights to non-technical audiences.

Benefits

For more information on benefits and what we offer, please visit us at www.exlservice.com/us-careers-and-benefits. Final offers are based on several factors, including the candidate's skills and experience, internal pay equity, work location, market conditions for the role, and the specific scope and responsibilities of the position. The top of the range is reserved for candidates who notably exceed the requirements; the lower end applies to those with less experience or fewer preferred qualifications. For positions based in higher-cost zones (e.g., California, New York, New Jersey), actual compensation may exceed the posted range; your recruiter will share specifics during the process.

Pay

$70- $115k plus bonus

Schedule

Hybrid, Jersey City, NJ