Data scientist

Acestack; Addison (TX); On-site; USD 120,000 - 150,000; Full time

Job summary

Acestack in Addison, TX is seeking a Data Scientist for an onsite, fulltime permanent role. The candidate will design, build, and maintain document capture applications, applying ML/NLP techniques and Gen AI models.

The role requires 7+ years in data science, a CS degree, and strong Python programming skills, with experience in Agile environments. Onsite policy requires day-one presence in the office.

Qualifications

• 7+ years of experience 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.

Responsibilities

• Design, build and maintain document capture applications.
• Bring solid software engineering background with ML/NLP experience to projects.
• Work with Gen AI models and open-source tools to improve data processing and insights.

Skills

Data science

NLP

ML

Agile tools

Education

Bachelor's degree in Computer Science or related field

Tools

Python

Gen AI

Job description

Role: Data scientist

Location: Addison, TX (Onsite)

Fulltime Permanent

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.