Data Scientist

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.

A DAY IN THE LIFE
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.

WHO YOU ARE
You possess...

• Master’s Degree in Computer Science or related field or equivalent work experience, PhD being a significant plus
• Comfortable in navigating both classical statistics and recent machine learning methods, separately or in combination
• Effective in fast paced environment
  
• Collaborative/enjoys working in team
• Self-starter/motivator
• Ability to explain and make decisions based on elementary technical/cost/risk trade-off
• Some experience in software or applications engineering and/or technical operations

• Conduct research leveraging big data technologies that surface actionable insight that influence analytical solutions
  roadmap
• 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.

• Two or more years of Industry experience / similar experience in academics in the field of Data Science
• Master’s degree in Computer Science or related field or equivalent work experience, PhD being a significant plus
• Courses in AI / Machine learning / Deep learning from an University or MOOC (like – Udacity, Coursera)
• A strong drive to learn and master new technologies and techniques in AI
• Ability to translate recent scientific papers to code (python, R)
• Some experience in software or applications engineering and/or technical operations
• Work and/or academic experience building applications using any of the following:
  • Large scale distributed databases as well as more traditional options: key-value, graph, SQL, NoSQL, time
    series
  • Data cleansing, manipulating datasets
  • Training various Machine Learning, Deep Learning algorithms for NLP, Image processing, Time series and predictive analytics
  • Exposure to cloud environments preferably Microsoft Azure
  • Experience handling data with relational databases is preferred
• Collaborative/enjoys working in teams
• Self-starter/motivator
• Creative and effective problem solving skills
• Ability to work on/manage multiple tasks concurrently.
• Excellent verbal and written communication skills.