Data Scientist

Why Join Us

Be part of an organization that’s driving change and consistently recognized as a top employer. At Deluxe, we know that great people build great companies—and we invest in you accordingly. We’re proud to be recognized as a Great Place to Work and a top workplace for Moms, Dads, LGBTQ+ employees, and Veterans. 42% of our employees have stayed for 10+ years, citing our people, benefits, work-life balance, inclusive culture, and team support as key reasons why.

About the Role

Are you a data scientist who enjoys working directly with clients and making a direct and verifiable impact to their business and the success of your team? Come fill that role on a growing team of data professionals serving large clients across the U.S. The Data Scientist is responsible for leading the development of data-driven solutions for our clients. The role utilizes analytical, statistical, and programming skills to clean, aggregate, and analyze large data sets and interpret results. This position requires a strong command of statistical techniques and machine learning algorithms, as well as a demonstrated practical ability to determine where to invest time, synthesize actionable findings across diverse assignments, and present findings to audiences with diverse agendas and varying levels of technical expertise.

Responsibilities

• Querying, pre-processing, data cleaning, feature engineering and analyzing large amounts of structured and unstructured data (terabytes/petabytes) across multiple data sources using structured query language (SQL), Python, PyTorch, PySpark, R, Spark, and Scala in a Cloud Native AWS environment.
• Deliver custom and commercial scalable solutions for internal and external customers.
• Combine business requirements and existing processes and data knowledge to create analytical solutions by building and deploying unsupervised and supervised machine learning and deep learning models, including combining models using ensemble modeling techniques.
• Required to have knowledge and experience in unsupervised learning, principal component analysis (PCA), GLM, lasso/ridge regression, random forest, gradient boosted machines (GBMs), XGBoost, Bayesian optimization, natural language processing (NLP), and deep neural networks/backpropagation.
• Use advanced statistical concepts for sampling, descriptive statistics, hypothesis testing, data quality, performance testing, attribution analysis, multivariate segmentation, and recommender systems.
• Collaborate with other data scientists to solve demanding and complicated business problems by applying machine learning and deep learning to large data sets.
• Partner with Data Engineering on product development (proof of concept to commercial product), SDLC, and CI/CD pipelines to process data, train models, test predictions within an MLOps framework all at scale, and provide requirements for deployment.
• Must be able to work within an agile framework.

Qualifications

Basic Qualifications

• Bachelor’s degree in Computer Science, Math, Statistics, Machine Learning, Analytics, Data Science, and 0 to 2 years of experience.
• Must be 18 years of age or older.

Preferred Qualifications

• Master’s Degree in Computer Science or Statistics.
• 1 year of experience in Data Science.

Pay

The compensation range for this position is $85,000.00 - $90,000.00 annually. This position will be eligible for commission or an annual performance incentive plan. The base pay actually offered will vary depending on job-related knowledge, skills, location, experience, and take into account internal equity.

Benefits

In line with our commitment to employee wellbeing, our total rewards benefits package is designed to support the physical, financial, and emotional health of our employees, tailored to meet their unique and evolving needs. Here are some of the benefits we offer, which may vary based on role, location, or hours worked:

• Healthcare (Medical, Dental, Vision)
• Paid Time Off, Volunteer Time Off, and Holidays
• Employer-Matched Retirement Plan
• Employee Stock Purchase Plan
• Short-Term and Long-Term Disability
• Infertility Treatment, Adoption, and Surrogacy Assistance
• Tuition Reimbursement

These benefits are designed to enhance health, protect financial security, and provide peace of mind to our employees and their families.