Title: Data Scientist/Process Automation Engineer (W2 ONLY)
Duration: 12 months - 18 month possible perm.
Location: Chicago OR Charlotte- 3 days/week onsite
Pay Rate: $73/hr
Required Skills:
• Bachelor’s degrees or above in fields including but not limited to: Finance, Economics, Mathematics, Computer Science, Statistics, Process and Mechanical Engineering, Operations Research, Data Science, Accounting, Business Administration
• 5+ years of relevant work experience (could come from Facebook, Google, Mortgage, Consumer, Credit Cards, etc).
• Intellectual Curiosity
• Applies critical thinking and connects the dots on how processes relate to one another.
• Demonstrates understanding of and passion for the “why”.
• Ability to recommend and implement process control improvements.
• Executive Interaction & Communication with strong written, verbal, presentation creation and delivery skills.
• Experience with structured and unstructured data
• Experience utilizing tools such as Hadoop and Trino
• Deep understanding of databases and table structures
• Proficient in SQL/Python
• Proficient in Microsoft PowerPoint and Excel
Day to day:
This role is going to be part of broader organization - EIT (Enterprise Independent Testing). The Technical Business Process Analyst will be working with data mangers/SMEs to understand what the intent of the test is and what are we trying to accomplish; looking at ways to improve it; influence the right outcome.This is a big function that regulators want us to do where we're looking at processes across the entire bank and how those are performing. It's in between risk and internal audit type of role, but it's more aligned with risk because of testing - consider it a 2nd line of defense. This team recently merged into global risk and analytics due to the need to automate the function. The work performed here includes testing transactional level stuff to testing employee quality assurance.
There are massive amounts of testing done here - these have historically been done as ad hoc technical and people intensive - we want to use more cutting-edge tech to better connect to the data rather than replicating/storing data. We're looking for a data science background, technical background, curious skillset, people who are willing to change a process, how it's currently being done pushing the envelope for reengineering. Some of the functions right now are manual, but the intent is to make them more automated, which is why we need someone who is intellectually curious.
For example: when someone calls into a financial service organization you may here "this call may be recorded for quality assurance purposes." In the past, humans would listen to the phone call for particular words and phrases, but now we're using machine learning to take recording and listen. We've defined a massive dictionary to pick up on specific language and reducing the time to identify this language from 5 minutes down to 30 seconds.