Data scientist

Northern Base; Addison (TX); On-site; USD 120,000 - 180,000; Full time

Job summary

Northern Base is seeking an experienced Data Scientist to design, implement, and maintain document capture ML/NLP models in an enterprise setting.

The role requires 7+ years in data science or related fields, a BS in CS or related technical field, and hands-on Python programming with ML/NLP experience, Gen AI familiarity, and strong software engineering background. On-site requirement Day 1 in Addison, TX, with collaboration across teams.

Qualifications

• 7+ years of experience in data science or related roles.
• Strong background in ML/NLP and Gen AI concepts.
• Bachelor's degree in CS or a related technical field.

Responsibilities

• Design, build and maintain document capture applications using ML/NLP models.
• Collaborate with software engineering teams and adapt Agile processes.
• Apply Gen AI models to improve data processing and insights.

Skills

Data science

NLP

ML

Agile tools

Education

Bachelor's degree in Computer Science or related technical field

Tools

Gen AI Models

Job description

Job Description

Must Have Technical/Functional Skills

• Primary: Data science
• Secondary: Data science, NLP, ML, Agile tools
• Experience: 7+

Roles & Responsibilities

High Level Skills Required Primary - 7+ years' as Data Scientist or related roles Bachelor's degree in Computer Science, or a related technical field Deep understanding and some exposure to new Gen AI Open-source Models At least 5 years programming experience in software development and Agile process At least 5 years Python (or equivalent) programming experience to work with ML/NLP models. The DCRS Inbound Correspondence team is looking for a Data Scientist who can be responsible for designing, building and maintaining document capture applications. The ideal candidate will have a solid background in software engineering with experience in building Machine Learning NLP

Models and good familiarity with Gen AI Models. Mandatory In office policy - Resource must be on site Day 1 adhere to required number of days in office.