EXL Service - Senior Manager - NLP/Text Classification - IIT/BITS/NIT

Senior Manager_NLP/ Text Classification

- EXL (NASDAQ:EXLS) is a leading operations management and analytics company that helps businesses enhance growth and profitability in the face of relentless competition and continuous disruption.

- Using our proprietary, award-winning Business EXLerator Framework , which integrates analytics, automation, benchmarking, BPO, consulting, industry best practices and technology platforms, we look deeper to help companies improve global operations, enhance data-driven insights, increase customer satisfaction, and manage risk and compliance.

- EXL serves the insurance, healthcare, banking and financial services, utilities, travel, transportation and logistics industries. Headquartered in New York, New York, EXL has more than 24,000 professionals in locations throughout the United States, Europe, Asia (primarily India and Philippines), Latin America, Australia and South Africa.

- EXL Analytics provides data-driven, action-oriented solutions to business problems through statistical data mining, cutting edge analytics techniques and a consultative approach. Leveraging proprietary methodology and best-of-breed technology, EXL Analytics takes an industry-specific approach to transform our clients' decision making and embed analytics more deeply into their business processes.

- Our global footprint of nearly 2,000 data scientists and analysts assist client organizations with complex risk minimization methods, advanced marketing, pricing and CRM strategies, internal cost analysis, and cost and resource optimization within the organization.

- EXL Analytics serves the insurance, healthcare, banking, capital markets, utilities, retail and e-commerce, travel, transportation and logistics industries.

Job Responsibilities :

- Understand data and different platforms used by client

- Translate business requirements from the client into equivalent modeling tasks

- Actively manage & lead ongoing predictive modeling assignments

- Engage with client, understand requirements & suggest predictive modeling/ML solutions

- Responsible for building and improving Recommendation Engines, Propensity Modeling etc.

- Test / Validate / Measure Performance of various statistical and data science models

- Use statistical concepts like ROC curve, Lift Analysis to evaluate models and predict performance of data science models and other experiments in production

- Provide expertise to the organization on statistical techniques and their usage and help with analysis on various datasets and analysis of A/B experiments

- Build and manage a team of data scientists, data analysts and data product managers.

- Liaise with data engineers on building data marts, reports, data warehouse, data pipelines and data tracking mechanisms.

- Conduct case studies and effectively communicate findings to establish cause & effect relationships from data analysis and separate causation from correlation

- Evangelize the need for data science across the organization and educate peers and other leaders in the company of the latest in data science and analytics

- Understand the underlying data architecture such as schemas and table relationships for data extraction and configuring new reports.

- Able to work with large volumes of user demographic and activity data

- Ensure thorough quality check of the output from team and provide tangible insights / recommendation to the client

Qualifications :

- Masters degree in Statistics, Mathematics or Computer science or Engineers from Tier 1 institutes

- 8+ years experience in Data Science and Analytics.

- Proficient in Python, PySpark, SQL, Excel and can work hands-on

- Experience in Hadoop/Hive/Spark

- Strong understanding of probability & statistics

- Strong Predictive Modeling (Regression based methods), Machine Learning (Tree based & NNet) and Deep Learning experience solving real world problems

- Experience in building and managing a team of data scientists and analysts

- Proven ability to influence cross-functional teams without formal authority

- Strong verbal and business communication skills