Data Scientist

Description

• 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.

Corporate overview

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.