Senior Data Scientist/ML Scientist

ML Scientist/Senior Data Scientist- Denver, CO (Hybrid)

Are you a Machine Learning (ML) Scientist who can help a transforming technology team? Do you want to be at the forefront of shaping our global platforms through the standardization and simplification of multiple complex interfacing platforms? Are you interested in joining a globally diverse organization where our unique contributions are recognized and celebrated, allowing each of us to thrive? Then it's time to join Western Union as a ML Scientist/Senior Data Scientist!

Western Union powers your pursuit.

In this critical role, you will lead the development of machine learning and deep learning solutions that power intelligent decision-making and innovative products. This role is ideal for someone with extensive experience in building, evaluating, and deploying ML and neural network models in production environments. You'll collaborate cross-functionally to create and scale real-world AI applications that have direct impact on users and business performance.

Role Responsibilities

• Design, build, and evaluate machine learning and deep learning models for classification, regression, recommendation, NLP, computer vision, and time-series forecasting.
• Apply deep learning techniques (e.g., CNNs, RNNs, LSTMs, Transformers) to solve complex, data-intensive problems.
• Lead the development of ML products, from model prototyping through production deployment, performance monitoring, and continuous improvement.
• Select appropriate architectures and hyperparameters, optimize model performance, and use proper evaluation metrics (e.g., AUC, F1, BLEU, IoU, perplexity) based on the use case.
• Collaborate with product managers and engineers to translate business challenges into deployable solutions using AI/ML.
• Design automated pipelines for data preprocessing, feature engineering, training, and inference (batch or real-time).
• Evaluate model drift, monitor performance post-deployment, and implement retraining pipelines as part of a production MLOps system.
• Mentor junior data scientists, contribute to code reviews, and lead technical discussions across the data science and engineering teams.

Role Requirements

• Bachelor's degree in computer science, Statistics, Applied Math, or related field (Master's or PhD strongly preferred) or equivalent work experience.
• 5+ years of industry experience in applied machine learning, with 2+ years focused on deep learning and neural network applications.
• Proficiency in Python and ML libraries such as scikit-learn, XGBoost, TensorFlow, Keras, or PyTorch.
• Deep understanding of neural networks, model regularization, overfitting/underfitting prevention, and GPU-accelerated training.
• Proven track record of building, evaluating, and deploying machine learning models at scale in production environments.
• Experience with cloud platforms (AWS/GCP/Azure), containerization, and model serving technologies.
• Excellent communication skills, with the ability to present complex findings to both technical and non-technical stakeholders.

Preferred Qualifications:

• Hands-on experience with real-world applications of deep learning, such as recommendation engines, fraud detection, customer segmentation, document summarization, image recognition, or speech processing.
• Familiarity with MLOps tools (e.g., MLflow, SageMaker, Airflow, Kubeflow).
• Experience with CI/CD for ML, feature stores, and real-time inference systems.
• Contributions to academic research, open-source ML projects, or ML/AI patents

We make financial services accessible to humans everywhere. Join us for what's next.

Western Union is positioned to become the world's most accessible financial services company -transforming lives and communities. We're a diverse and passionate customer-centric team of over 8,000 employees serving 200 countries and territories, reaching customers and receivers around the globe. More than moving money, we design easy-to-use products and services for our digital and physical financial ecosystem that help our customers move forward.

Just as we help our global customers prosper, we support our employees in achieving their professional aspirations. You'll have plenty of opportunities to learn new skills and build a career, as well as receive a great compensation package. If you're ready to help drive the future of financial services, it's time for Western Union. Learn more about our purpose and people at https://careers.westernunion.com/.

Salary

The total on-target earning range is $150,000 - 180,000 per year, which includes a base salary and variable target incentive (including short-term incentives) that aligns with individual and company performance. Actual salaries will vary based on candidate's qualifications, skills and competencies.

Benefits

You will also have access to short-term incentives, multiple health insurance options, accident and lifeinsurance, and access to best-in-class development platforms, to name a few (https://careers.westernunion.com/global-benefits/). Please see the location-specific benefits below and note that your Recruiter may share additional role-specific benefits during your interviewprocess or in an offer of employment.

Your United States - specific benefits include:

• Flexible Time off

• Medical, Dental and Life Insurance

• Tuition Assistance Program

• Student Loan Repayment (below manager level only)

• Parental Leave

• One day volunteer time off

• $0 Money Transfer Fee Discount Code - Quarterly

• Recognition Program "Game Changers"

• Employee Discount Program

• Global Adoption Assistance

• Global Scholarship Awards Program
• 4% Western Union Contribution to 401K

Western Union values in-person collaboration, learning, and ideation whenever possible. We believe this creates value through common ways of working and supports the execution of enterprise objectives which will ultimately help us achieve our strategic goals. By connecting face-to-face, we are better able to learn from our peers, problem-solve together, and innovate.

Our Hybrid Work Model categorizes each role into one of three categories. Western Union has determined the category of this role to be Hybrid. This is defined as a flexible working arrangement that enables employees to divide their time between working from home and working from an office location. The expectation is to work from the office a minimum of three days a week.

We are passionate about diversity. Our commitment is to provide an inclusive culture that celebrates the unique backgrounds and perspectives of our global teams while reflecting the communities we serve. We do not discriminate based on race, color, national origin, religion, political affiliation, sex (including pregnancy), sexual orientation, gender identity, age, disability, marital status, or veteran status. The company will provide accommodation to applicants, including those with disabilities, during the recruitment process, following applicable laws.

For residents of Colorado, California, Connecticut, Delaware, Minnesota, and Pennsylvania: Please do not respond to any questions on this initial application that may seek age-identifying information such as age, date of birth, or dates of school attendance or graduation. You may also redact this information from any materials you submit during the application process. You will not be penalized for redacting or removing this information."

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Estimated Job Posting End Date:

07-18-2025

This application window is a good-faith estimate of the time that this posting will remain open. This posting will be promptly updated if the deadline is extended or the role is filled.