Senior Data Scientist

Key Skills

Data science techniques, Data Visualization, Deep Learning, Effective communication skills, Google BigQuery, Machine learning techniques, Natural Language Processing (NLP), Pandas, Python Programming, SaaS, SQL

Job Description

At UKG we are at the forefront of innovation leading the next wave of disruption in the Human Capital Management industry. With our unparalleled dataset, that gives the most complete view into our customers most valuable assets---their human assets, we are building groundbreaking artificial intelligence that is changing the way we work. Employing the latest advancements in data science and AI, you will impact millions of UKG customers by unlocking the opportunities to help employers create a more effective and efficient workforce, and employees work and live more satisfied, enriched, and rewarding lives.

We are looking for data scientists with a strong mathematical foundation, experience building AI-based solutions on real world data, and a pioneering mindset to join the team and help deliver new AI innovation into our platform.

Responsibilities

• Work with domain experts, perform data studies and analysis on billions of records from our one-of-a-kind dataset to identify meaningful business opportunities
• Apply statistics, machine learning, and a variety of other techniques to analyze the data, generate models, and prototype new AI solutions
• Build production ready prototypes and collaborate with others to bring concepts to life in the product.
• Communicate findings to stakeholders and a broader audience of technical and non-technical persons.
• Thrive in different working environments. Both in independent, self-driven, research and development, and in collaborative, team-driven, projects.

Qualifications

• Education and experience in a quantitative field. PhD, or master’s degree plus 2 years of experience.
• Experience in at least 1-2 machine learning or AI subfields, including but not limited to regression, classification, deep learning, time-series analysis, clustering, NLP, transfer learning, etc.
• Practical ability to visualize data, communicate meaningful business insights, and utilize them effectively.
• Programming experience and the ability to rapidly develop prototypes of new solutions
• Experience with big data tools and frameworks, such as Cloud ML or Big Query, is a plus
• Experience with ML Models deployed in SaaS applications is a plus
• SQL, or experience with another database technology.
• Python, or experience with another scripting language. Experience with programming packages like Pandas is desired.
• Willingness to learn new tools as they become needed.