Client-Facing Data Scientist for ML & AI Solutions

6AM City, LLC; 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

Tuition Reimbursement

Job summary

Deluxe Corporation is seeking a Data Scientist to lead data-driven solutions for large client projects across the United States. The role combines statistical methods, ML and NLP to clean, analyze, and interpret massive datasets and deliver actionable insights to diverse audiences.

Responsibilities include building scalable models, collaborating with Data Engineering in an MLOps workflow, and communicating results clearly. A strong background in ML, PCA, GLM, NLP and deep learning is required.

Qualifications

• Bachelor's degree in CS/Math/Statistics/Data Science or related field.
• Masters degree preferred in CS/Statistics.

Responsibilities

• Querying, pre-processing and cleaning large structured and unstructured data (terabytes/petabytes) across sources using SQL, Python, PyTorch, PySpark, R, Spark and Scala in AWS.
• Build and deploy ML/DL models (unsupervised, supervised, NLP) and ensembles.
• Collaborate with data scientists and data engineers in an MLOps environment to deploy models at scale.
• Present findings to stakeholders with varying technical levels and translate business needs into analytical solutions.

Skills

SQL

Python

Pytorch

Pyspark

R

Spark

Scala

AWS

ML

NLP

Education

Bachelor's degree

Master's degree

Tools

PyTorch

Job description

Deluxe Corporation is seeking a Data Scientist to lead data-driven solutions for large client projects across the United States. The role combines statistical methods, ML and NLP to clean, analyze, and interpret massive datasets and deliver actionable insights to diverse audiences.

Responsibilities include building scalable models, collaborating with Data Engineering in an MLOps workflow, and communicating results clearly. A strong background in ML, PCA, GLM, NLP and deep learning is required.