Client-Facing Data Scientist: ML, NLP & Cloud

Deluxe Corporation; Atlanta (GA); On-site; USD 85,000 - 90,000; Full time

Benefits offered by this job

Healthcare (Medical, Dental, Vision)

Paid Time Off and Holidays

Employer-Matched Retirement Plan

Employee Stock Purchase Plan

Disability Insurance

Infertility & Adoption Support

Tuition Reimbursement

Job summary

Deluxe Corporation is seeking a data scientist to lead data-driven solutions for our clients across the United States. You will clean, analyze, and model large datasets, translating insights into actionable business outcomes and presenting findings to diverse audiences.

You will collaborate with data engineers and fellow scientists in an agile, cloud-based environment, building scalable ML systems and contributing to end-to-end product development and deployment.

Qualifications

• Bachelor’s degree in Computer Science, Math, Statistics, Machine Learning, Analytics, Data Science with 0–2 years experience.
• Must be 18 years of age or older.
• Preferred: Masters Degree in Computer Science or Statistics.

Responsibilities

• Query, pre-process, clean, and engineer features on large structured and unstructured data in AWS.
• Develop scalable ML solutions including unsupervised, supervised, and deep learning models.
• Apply advanced statistics for sampling, hypothesis testing, and attribution analysis.
• Collaborate with data scientists and data engineers in SDLC, CI/CD, and MLOps for deployment.

Skills

SQL

Python

Pytorch

Pyspark

R

Spark

Scala

Education

Bachelor's degree in CS/Math/Statistics/ML/Analytics/Data Science

Master's degree in CS or Statistics

Job description

Deluxe Corporation is seeking a data scientist to lead data-driven solutions for our clients across the United States. You will clean, analyze, and model large datasets, translating insights into actionable business outcomes and presenting findings to diverse audiences.

You will collaborate with data engineers and fellow scientists in an agile, cloud-based environment, building scalable ML systems and contributing to end-to-end product development and deployment.