September 29, 2020

DATA SCIENTIST

POSITION OVERVIEW:

Would you like to use your data smarts to drive customer-centric and innovative products in Digital Payments? Do you want to be part of the smarter payments vision that proactively serves actionable insights to banking users using AI/ML-based data intelligence?

The successful candidate will apply data science techniques from both traditional statistics and machine learning to a combination of third party and Payrailz proprietary datasets with the goal of turning the data resources into informative, meaningful intelligence.

 

A DAY IN THE LIFE:

A snapshot of this person’s daily life would include all the following responsibilities and activities:

  • Work with IT to leverage Payrailz data lake in assembling training datasets from a wide variety of data sources
  • Prototype, refine, validate, develop and scale ML models for Payrailz AI products
  • Feature engineer/derive columns from raw data that will improve predictive performance
  • Drive model selection by comparing a variety of statistical and machine learning algorithms
  • Set up ML model accuracy and performance monitoring
  • Responsible for model maintenance & retraining processes
  • Ensure the data intelligence engine is set up to deliver on the vision of serving proactive meaningful insights to financial institution users

IDEAL CANDIDATE CHARACTERISTICS:

We believe the person who will be successful in this important role will have the following attributes:

  • Is self-driven, actively looks for ways to contribute, and knows how to get things done
  • Has a strong work ethic and prior successful experience working with a remote team
  • Strong organizational and planning skills with the ability to be able to provide support at the detail level
  • Possess strong analytical skills with excellent, critical thinking, and problem-solving skills
  • Ability to analyze, assess, design, and adjust process flows for implementation phases
  • Ability to accurately and fairly balance communications and expectations internally and to clients
  • Excellent verbal and written communication skills with an ability to state things simply and persuasively for a variety of audiences – internal, clients, business and technical
  • Technical fluency; understanding and able to discuss architectural concepts, prioritizations tradeoffs, and new opportunities with clients & technical team members
  • Thrives in a fast-paced start-up company culture.

EXPERIENCE

We believe the person who will be successful in this important role will have the following attributes:

  • Thrives in a start-up company culture.
  • Understands the scope of complexities within a project including technical requirements.
  • Has a strong work ethic and prior successful experience in a remote working environment.
  • Has a sense of intellectual curiosity and an addiction to learning.
  • Is self-driven, actively looks for ways to contribute, and knows how to get things done.
  • Values data and truth over ego.
  • Has good communication and reasoning skills, including the ability to make a strong case for technology choices.
  • Respects and values others’ opinions even when they differ from their own.
  • AND has a great sense of humor. We like to see people enjoying what they do!

EDUCATION:

The candidate should have a Bachelor’s degree in Computer Science, Economics, Applied Math or related analytical field with course work/certifications in Data science

LOCATION:

Ideally, this position will be located out of the company’s headquarters in Glastonbury, CT.