Client-Facing Data Scientist: ML Solutions & Impact

Deluxe; New York (NY); On-site; USD 85,000 - 90,000; Full time

Benefits offered by this job

Healthcare (Medical, Dental, Vision)

Paid Time Off

Employer-Matched Retirement Plan

Employee Stock Purchase Plan

Disability Insurance

Job summary

Deluxe Corporation seeks a Data Scientist to lead data-driven solutions for diverse clients across the U.S. You will work directly with customers to translate business needs into analytical outcomes and deploy models in a cloud-native environment.

The role requires strong statistics, ML, and programming skills, plus experience handling large datasets and presenting results to non-technical stakeholders. Join a growing team that values collaboration, impact, and innovative data use.

Qualifications

• Bachelor’s degree or higher in a quantitative field with foundational knowledge in statistics and ML.
• 1–2 years of data science experience or equivalent internship projects.
• Strong programming and data manipulation skills, plus communication with clients.

Responsibilities

• Lead development of data-driven solutions for clients using large structured and unstructured data.
• Pre-process, clean, and analyze terabytes of data across multiple sources.
• Build and deploy supervised and unsupervised models and NLP solutions.
• Collaborate with Data Engineering to move concepts to production in an MLOps framework.
• Present actionable insights to clients with varying levels of technical expertise.

Skills

SQL

Python

Pytorch

Pyspark

R

Spark

Scala

Education

Bachelor’s degree in Computer Science, Math, Statistics, Machine Learning, Analytics, or Data Science

Master’s degree in Computer Science or Statistics

Tools

AWS

CI/CD

ML Ops

Job description

Deluxe Corporation seeks a Data Scientist to lead data-driven solutions for diverse clients across the U.S. You will work directly with customers to translate business needs into analytical outcomes and deploy models in a cloud-native environment.

The role requires strong statistics, ML, and programming skills, plus experience handling large datasets and presenting results to non-technical stakeholders. Join a growing team that values collaboration, impact, and innovative data use.