Sr Data Scientist

Company Overview 

With 80,000 customers across 150 countries, UKG is the largest U.S.-based private software company in the world. And we’re only getting started. Ready to bring your bold ideas and collaborative mindset to an organization that still has so much more to build and achieve? Read on.  

At UKG, you get more than just a job. You get to work with purpose. Our team of U Krewers are on a mission to inspire every organization to become a great place to work through our award-winning HR technology built for all. 

 Here, we know that you’re more than your work. That’s why our benefits help you thrive personally and professionally, from wellness programs and tuition reimbursement to U Choose — a customizable expense reimbursement program that can be used for more than 200+ needs that best suit you and your family, from student loan repayment, to childcare, to pet insurance. Our inclusive culture, active and engaged employee resource groups, and caring leaders value every voice and support you in doing the best work of your career. If you’re passionate about our purpose — people —then we can’t wait to support whatever gives you purpose. We’re united by purpose, inspired by you.   

As a Senior Data Scientist, you will be a key member of our growing Data Science team, working on innovative projects that leverage our vast enterprise data to drive significant business impact. You will collaborate with cross-functional teams in Sales, Marketing, Customer Success, and Product Development, translating data into actionable insights that inform strategic decisions and optimize key business metrics. This role involves designing, developing, and deploying advanced Machine Learning (ML) models and analytical solutions to fuel growth, improve customer satisfaction, and optimize operational efficiency.

Responsibilities:
· Lead the design, development, and implementation of innovative data science solutions, including machine learning models, statistical analyses, and predictive algorithms.
· Collaborate with stakeholders across departments to understand business needs, translate them into data-driven solutions, and present findings effectively.
· Develop and maintain robust data pipelines for data acquisition, cleaning, transformation, and feature engineering.
· Train, validate, and deploy ML models using various algorithms, including regression, classification, clustering, time series forecasting, and reinforcement learning.
· Evaluate model performance, identify opportunities for improvement, and implement optimization strategies.
· Stay up to date on the latest trends and advancements in machine learning, data science, and related technologies.
· Mentor and guide junior data scientists, providing technical support and fostering their growth.
· Proactively identify new opportunities for leveraging data to gain competitive advantage and drive business growth.

Qualifications:
· Bachelor’s degree in Statistics, Computer Science, Data Science, or a related field.
· 5+ years of experience in a data science role, with a proven record of accomplishment of developing and deploying successful machine learning solutions.
· Strong proficiency in Python, R, or other statistical programming languages.
· Expertise in machine learning algorithms, including deep learning, ensemble methods, and time series analysis.
· Experience with specific ML frameworks like TensorFlow, PyTorch, or scikit-learn.
· Familiarity with cloud platforms such as AWS, Azure, or GCP, and experience with cloud services specifically tailored for ML development and deployment (Vertex AI, BigQuery, SageMaker, Redshift, Azure ML Studio).
· Experience working with relational databases (e.g., MySQL, PostgreSQL, SQL Server) and NoSQL databases (e.g., MongoDB, Cassandra), including data modeling, query optimization, and data integration.
· Experience in SQL for data querying, manipulation, and analysis, including experience with advanced SQL features like window functions and CTEs.
· Experience using Python libraries like Pandas, NumPy, and Dask for data cleaning, transformation, and feature engineering.
· Strong understanding of statistical concepts, hypothesis testing, and data analysis.
· Experience working in an Agile environment following Scrum methodology.
· Excellent communication and presentation skills, with the ability to clearly convey technical concepts to non-technical audiences.
· Ability to work independently and as part of a team, contributing to a collaborative and positive work environment.
· Strong problem-solving skills and a passion for data-driven decision making.
· Experience working in a SaaS environment is a plus.

Bonus Points:
· Experience with Natural Language Processing (NLP), Large Language Models (LLMs), Natural Language Understanding (NLU), and Retrieval Augmented Generation (RAG) techniques, or other Generative AI technologies.
· Master’s degree in Statistics, Computer Science, Data Science, or a related field.

Where we’re going 

UKG is on the cusp of something truly special. Worldwide, we already hold the #1 market share position for workforce management and the #2 position for human capital management. Tens of millions of frontline workers start and end their days with our software, with billions of shifts managed annually through UKG solutions today. Yet it’s our AI-powered product portfolio designed to support customers of all sizes, industries, and geographies that will propel us into an even brighter tomorrow!   

Equal Opportunity Employer    

UKG 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.      

View The EEO Know Your Rights poster       

UKG participates in E-Verify. View the E-Verify posters here.   

It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability.  

The pay range for this position is $XX to $161,400, however, base pay offered may vary depending on skills, experience, job-related knowledge and location. This position is also eligible for a short-term incentive and a long-term incentive as part of total compensation. Information about UKG’s comprehensive benefits can be reviewed on our careers site at https://www.ukg.com/careers