Senior Consultant - Analytics | Media, Hii-Tech

EXL Service
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Job Description

EXL (NASDAQ: EXLS) is a leading operations management and analytics company that designs and enables agile, customer-centric operating models to help clients improve their revenue growth and profitability.

Our delivery model provides market-leading business outcomes using EXL’s proprietary Business EXLerator Framework™, cutting-edge analytics, digital transformation and domain expertise. At EXL, 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 32,000 professionals in locations throughout the United States, Europe, Asia (primarily India and Philippines), South America, Australia and South Africa. For more information, visit www.exlservice.com.

Senior Data Scientist | Analytics | Media | NYC

EXL Company Overview:

EXL (NASDAQ: EXLS) is a leading operations management and analytics company that designs and enables agile, customer-centric operating models to help clients improve their revenue growth and profitability. Our delivery model provides market-leading business outcomes using EXL’s proprietary Business EXLerator Framework™, cutting-edge analytics, digital transformation and domain expertise. At EXL, 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 32,000 professionals in locations throughout the United States, Europe, Asia (primarily India and Philippines), South 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.

Please visit www.exlservice.comfor more information about EXL Analytics.

Role Overview:

EXL provides consulting and analytics support to fortune 500 companies across multiple industry domains. For this role, you will be supporting the data science team of a leading US Telecom & Media firm. While working on Google Cloud Platform (GCP), you are expected to build content recommendation algorithms, build predictive models for customer lifetime value and other measurements. Some of your responsibilities include –

  • Take stakeholder needs into consideration, bridging methodology and data into meaningful strategy from your analyses.
  • Build collaborative filtering models and use cutting edge techniques to solve hard deep learning problems in the space of content recommendation.
  • Lead development of analytical models using statistical, machine learning and data mining methodologies.
  • Work with large big data sources, focusing on efficient data creation and feature engineering
  • Define procedures for data cleansing, discretization, outlier treatment, variable selection, standardization etc. to create high quality features for the modeling process.
  • Create model reports and presentations to showcase assumptions and results to stakeholders
  • Drive work on creating a state of the art codebase and machine learning lifecycle infrastructure
  • Contribute to the team through mentorship, technical methods, improvements in how we work

Qualifications

  • Masters or Bachelor's degree in Computer Science (or) math heavy degrees from top-tier universities with strong record of achievement
  • Deep knowledge of statistical methods and machine learning with special emphasis on the advanced algorithmslike neural networks, SVM, random forests, bagging, gradient boosting machines, K-means, deep learning or reinforcement learning
  • 3+ Years of experience in algorithms, machine learning, data science (or) statistics
  • Experience with adeep learning framework (e.g. PyTorch, TensorFlow)
  • Experience with Big Query; Comfortable with writing complex SQL queries for data retrieval & transformation
  • Proficient in Python. Pyspark knowledge would be a plus
  • Proficiency in Scikit learn, Matplotlib, GGPlot2, dplyr, H2o and other model libraries is a must
  • Prior experience in management consulting and/or analytics based consulting is a plus
  • Experience with making PowerPoint Presentations for C-Suite Audience is a plus

EEO/Minorities/Females/Vets/Disabilities

Please be aware that EXL requires all employees to be vaccinated for COVID-19. This position will require the successful candidate to obtain and show proof of a vaccination. EXL is an equal opportunity employer, and will provide reasonable accommodation to those individuals who are unable to be vaccinated consistent with federal, state, and local law.

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. 

Company Info.

EXL Service

EXL fuses digital technology and deep industry expertise, human expertise and artificial intelligence to deliver Digital Intelligence that helps your business grow faster and more profitably. See What Digital Intelligence Can Do. EXL Service is a leading operations management and analytics company that helps our clients build and grow sustainable businesses. By orchestrating our domain expertise, data, analytics and digital technology.

  • Industry
    Information Technology
  • No. of Employees
    22,011
  • Location
    320 Park Avenue, New York, NY 10022, USA
  • Website
  • Jobs Posted

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