Overview:
Occassional meetings in the Irving TX or Pittburgh PA office may be required, so applicants within reasonable commuting distance to Irving or Pittsburgh office, or candidates willing to relocate may be given preference.
Are you a data enthusiast with a broad understanding and experience with machine learning, artificial intelligence, and advanced multi-media (images and video) processing methods? Skilled in analyzing large, complex, multi-dimensional datasets with a variety of tools and statistical environments. You have experience in creating and implementing machine learning algorithms and advanced statistics and are proficient in statistical computing languages for data analysis - such as Python and R, as well as Deep Learning frameworks such as Tensor Flow, PyTorch. ServiceLink, the unrivaled mortgage industry leader, is in search of a Data Scientist to drive the delivery of technology results and serve as a trusted advisor to our dynamic business This is an exciting time to join ServiceLink, where those at the forefront of technology excel in our entrepreneurship culture focused on empowerment and innovation.

In this role, you will…

• Conduct research leveraging big data technologies that surface actionable insight that influence analytical solutions roadmap
• Understand business requirements and formulate recommend the suitable data driven approach(es) to address them
• Compare different data science approaches and pursue the most meaningful alternative based on pros and cons
• Gather and process raw data at scale by using statistical packages within Python, R and Cloud Platform
• Process unstructured data into a form suitable for analysis – and then do the analysis
• Utilize cutting edge algorithms in Natural Language Processing (NLP) and Computer Vision for implementing automation in production. Notions about Bayesian and Kernel methods is a strong plus
• Apply both Statistical Modeling and Optimization methods, separately or in combination

Responsibilities:

• Conduct research leveraging big data technologies that surface actionable insight that influence analytical solutionsroadmap
• Gather and process raw data at scale by using statistical packages like R, and programming language like Python, Scala
• Process unstructured data into a form suitable for analysis – and then do the analysis.
• Comfortable using advanced functions in MS Excel for quick analysis / manipulation / insight.
• Use predictive modeling for forecasting demand, work load and provide actionable insights.
• Implement Natural Language Processing tools and algorithms to solve automation problems.
• Implement Computer Vision and Deep learning techniques to solve automation problems.
• Critical thinking skills to assess how AI capabilities can best be applied to complex business situations.
• Work closely with other functional teams to integrate your ideas, innovations and algorithms into production systems.
• Support business decisions with ad hoc analysis as needed.
• Having the ability to query databases with structured and un-structured data and perform statistical analysis
• Being able to work in a fast-paced multidisciplinary environment as in a competitive landscape new data keeps flowing in rapidly and the world is constantly changing;
• All other duties as assigned