Job Description

Job ID

SRDAT013139

Employment Type

Regular

Work Style

remote

Location

United States

Travel

Up to 25%

Role

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.

About the Team:
This team plays a critical role in providing products to our Customer Experience department so that they can serve and support our customers.

About the Role:
We are seeking an experienced Data Scientist with a strong background in designing and implementing AI-driven applications using Google Cloud Platform (GCP). The ideal candidate will be proficient in cloud software solutions while leveraging cutting-edge AI/ML technologies. You will collaborate with cross-functional teams to design, develop, and deploy scalable, secure, and efficient AI-based applications that enhance business operations.

Responsibilities:

Perform hands-on data analysis and modeling with huge data sets
Apply data mining, NLP, and machine learning (both supervised and unsupervised) to improve relevance and personalization algorithms
Work side-by-side with product managers, software engineers, and designers in designing experiments and minimum viable products
Discover data sources, get access to them, import them, clean them up, and make them “model-ready”.
Run regular A/B tests, gather data, perform statistical analysis, draw conclusions on the impact of your optimizations and communicate results to peers and leaders
Explore new design or technology shifts to determine how they might connect with the customer benefits we wish to deliver
Work closely with DevOps teams to automate deployment processes and monitor AI/ML applications.
Implement cloud-native solutions using GCP services, ensuring scalability, security, and reliability.

About You:
Basic Qualifications:

Bachelor’s degree in data science, Computer Science, Engineering, or related field, or equivalent work experience.
3+ years of experience as a data scientist or machine learning engineer with proven track record of delivering functional product-oriented AI/ML solutions
Proven experience delivering AI/ML applications in Google Cloud Platform (GCP) or Azure environments.
Proficiency in GCP services, including AI Platform, Cloud Functions, Cloud Run, BigQuery, Pub/Sub, Cloud Storage, Cloud SQL, Vertex AI
Solid understanding of backend languages like Python, Node.js, or Java.
Frontend development experience using React.js or Angular.
Strong knowledge of APIs and RESTful services development and integration.
Experience with containerization and orchestration tools like Docker and Kubernetes.
Familiarity with CI/CD pipelines and Git-based version control.
Excellent problem-solving skills and attention to detail.
Ability to work effectively in a collaborative, fast-paced environment.
Strong communication skills and ability to explain complex technical concepts to non-technical stakeholders.
Agile mindset with a focus on continuous improvement and learning

Preferred Qualifications:

Experience with GCP’s Cloud AI products, such as: AutoML, TensorFlow on GCP, Dataflow, Dialogflow (for chatbot and conversational AI).
Experience with Cloud Dataproc for processing large datasets.
Familiarity with Google Kubernetes Engine (GKE) for managing containerized AI applications.
Experience with Google Cloud Monitoring and Logging for operational insights.
Experience with MLOps practices for automating machine learning workflows.
Familiarity with GraphQL.
Understanding of big data tools like Apache Beam and Apache Kafka.

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 an equal opportunity employer. We evaluate qualified applicants without regard to race, color, disability, religion, sex, age, national origin, veteran status, genetic information, and other legally protected categories.

View The EEO Know Your Rights poster

UKG participates in E-Verify.

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.

Disability Accommodation in the Application and Interview Process

For individuals with disabilities that need additional assistance at any point in the application and interview process, please email UKGCareers@ukg.com.

The pay range for this position is $113,000 to $$169,998, 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

UKG

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