Principal Data Scientist

  • Phenom People
  • Ambler, PA, USA
  • Sep 08, 2020
Full time Science

Job Description

Job Responsibilities:

Phenom People is the leader in Talent Relationship Marketing (TRM for short.) We’re an early-stage startup on a mission to fundamentally transform how companies acquire talent. As a category creator, our goals are two-fold: to educate talent acquisition and HR leaders on the benefits of TRM and to help solve their recruiting pain points. 

We’re looking for a Principal Data Scientist to join our team and work with our phenomenal Product engineering teams and join in the disruptive technology and thought leadership in the Global Talent Relationship Marketing Cloud Platform.  

Work in a high energy, crazy-fun, and agile team environment. it’s a fast-paced, with new projects popping up quickly and tight deadlines always around the corner. We are proud to offer employees a flexible work structure, but value responsibility and hard work above all else. 

Responsibilities:

Design and implement machine learninginformation extraction, probabilistic matching algorithms and models

Research and develop innovative, scalable and dynamic solutions to hard problems

Work closely with Machine Learning Scientists (PhDs), ML engineers, data scientists and data engineers to address challenges head on

Use the latest advances in NLPdata science and machine learning to enhance our products and create new experiences

Scale machine learning algorithm that powers our platform to support our growing customer base and increasing data volume

Be a valued contributor in shaping the future of our products and services

You will be part of our new Data Science team in the HQ Ambler, PA office.

Job Requirements

Strong mathematics, statistics, and data analytics

Solid coding and engineering skills preferably in Machine Learning 

Proficient in Java, Python, and Scala

Industry experience building and productionizing end-to-end systems

Knowledge of Information Extraction, NLP algorithms coupled with Deep Learning

Experience with data processing and storage frameworks like Hadoop, Spark, Kafka etc. 

Education

Ph.D.computer science, information systems, or similar technical field required