Data Scientist

Company:
Location: Remote

*** Mention DataYoshi when applying ***

Description & Requirements

Description

Data science is a crucial part of UKG. Our team builds statistical and machine learning models that support product features across the company, with the goal of empowering thousands of organizations and millions of employees to thrive. We tackle problems in the fields of machine learning, natural language processing, document processing, sociology, and statistics... and we're just getting started. We’re looking for data scientists to join the team and help us grow. This position requires a strong mathematical foundation, an analytical mindset, and an ability to work cross-functionally to bring a product feature from concept through to release. We work in small teams with daily stand-ups, regular releases, and a culture of ownership.

As part of the data science team, you will collaborate to:
  • Experiment, develop, and evaluate statistical and machine learning models.
  • Containerize and deploy developed models.
  • Analyze data that is significant to HCM products and champion product features derived from that data.
  • Use creativity and problem-solving skills to translate business questions into data science questions that can be answered with the data we have available.

Qualifications

  • University degree in a quantitative field (computer science, statistics, or mathematics) preferably at a graduate level; or equivalent experience.
  • At least 2 years of previous experience with data science or machine learning at a product focused organization.
  • Have a strong understanding of the fundamentals of statistics such as probability distributions, hypothesis testing, and statistical significance.
  • Have a strong understanding of the fundamentals of machine learning, and in particular, deep learning (CNNs, RNNs, embeddings, transformers, and attention-based networks) and transfer learning.
  • Experience with NLP and concepts such as text representation (n-grams, bag of words, word embeddings), sentiment analysis, and text summarization.
  • Extensive experience with a programming language (we use Python) and its data science libraries (Python examples: Jupyter, Numpy, Pandas, and Scikit-learn).
  • Experience using a deep learning framework such as PyTorch, Tensorflow, or Keras.
  • Enjoy working in a collaborative environment with a diverse group of people, specializing in a variety of areas such as data science, software engineering, product management, and software architecture.

#LI-POST
#LI-Remote

Corporate overview

Here at UKG, Our Purpose Is People. UKG combines the strength and innovation of Ultimate Software and Kronos, uniting two award-winning, employee-centered cultures. Our employees are an extraordinary group of talented, energetic, and innovative people who care about more than just work. We strive to create a culture of belonging and an employee experience that empowers our people. UKG has more than 13,000 employees around the globe and is known for its inclusive workplace culture. Ready to be inspired? Learn more at www.ukg.com/careers

EEO Statement

Equal Opportunity Employer

Ultimate Kronos Group is proud to be an equal opportunity employer and is committed to maintaining a diverse and inclusive work environment. All qualified applicants will receive considerations for employment without regard to race, color, religion, sex, age, disability, marital status, familial status, sexual orientation, pregnancy, genetic information, gender identity, gender expression, national origin, ancestry, citizenship status, veteran status, and any other legally protected status under federal, state, or local anti-discrimination laws.

*** Mention DataYoshi when applying ***

Offers you may like...

  • wpromote

    Senior Data Scientist
    Remote
  • Secureworks

    Senior Principal Data Scientist - Secureworks - Se...
    San Francisco Bay Area, CA
  • Halfaker and Associates

    Principal Data Scientist
    Remote
  • Upstart Network, Inc.

    Senior Data Scientist
    Columbus, OH
  • Grammarly, Inc.

    Data Scientist
    San Francisco, CA 94104