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Data Scientist

Engineering | Hyderabad, India | Full Time

Job Description

About HighRadius

HighRadius is a Gartner Cool Vendor and the fastest growing product company in credit-to-cash SaaS and automates processing of over $500 billion in receivables for Fortune 1000 companies including adidas, P&G, Starbucks, Danone, Reckitt Benckiser, Johnson & Johnson, Sony, Intel and Discovery Communications. Founded in 2006 in Houston by enterprise technology veteran and IIT-alumnus, Sashi Narahari, we are the first Fintech to have partnered with a top US bank (Bank of America Merill Lynch) to deliver straight-through order-to-cash process automation.

You can find more details about the company at www.highradius.com.   

Key responsibilities:

  • Work on AR data sets and develop analytics solutions that address customer needs
  • Perform statistical analysis, modeling, data mining using large complex data sets  to derive key insights and provide customers with solutions and tools for strategic decision making and planning
  • Perform research and utilize the outcomes to develop/ enhance the existing products/ solutions.
  • Produce reports, algorithms or codes and communicate findings to stakeholders.

Candidate Profile:

  • Demonstrated work experience in implementing machine learning algorithms and data science projects for minimum of 3 to 6 years.
  • Experience in NLP, Image Recognition, computer vision and deep learning will be a plus
  • Qualification in Computer Science/engineering allied discipline
  • Possess strong analytical skills with the ability to collect, organize, analyze, and disseminate significant amounts of information with attention to detail and accuracy.
  • Strong knowledge of statistics and experience using statistical packages for analyzing large datasets (R, Python, SPSS, SAS, etc)
  • Experience in complete life cycle of statistical modeling (business case, development, validation, deployment)
  • Proven knowledge of and experience with databases and proficient with SQL
  • Experience in client facing for gathering business requirements and communicating the solutions back
  • Excellent verbal and written communication skills

Years of Experience: 3– 6 Years