Data Scientist - IV

Dallas, TX, US • Posted 60+ days ago • Updated 1 hour ago
Contract Independent
On-site
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Job Details

Skills

  • Statistical Models
  • Real-time
  • Partnership
  • Machine Learning (ML)
  • Predictive Modelling
  • Research
  • Python
  • Database
  • PostgreSQL
  • Redis
  • Elasticsearch
  • Transformer
  • API
  • Docker
  • Cloud Computing
  • Google Cloud Platform
  • Google Cloud
  • STaaS
  • SQL
  • Software Development
  • Git
  • Agile
  • Development Testing
  • Test-driven Development
  • Artificial Intelligence
  • Computer Science
  • Statistics
  • Mathematics
  • Economics
  • Business Analytics
  • Data Science
  • Privacy
  • Marketing

Summary

Location: Dallas, TX
Salary: Negotiable
Description: Our client is currently seeking a Data Scientist - IV
[ Additional Description ]

Title: Data Scientist - IVLocation: Irving, TX (Hybrid)
Duration: Long term contract


JOB DESCRIPTION

Responsibilities:

Independently work on data science projects and deliver innovative technical solutions to solve problems and improve business outcomes

Be involved in the design and development of machine learning/statistical models and ensure best performance

Work closely with machine learning engineers to deploy models in production both in real-time and in batch process and systematically track model performance

Assist engagement with key business stakeholders in discussion on business strategies and opportunities

Build strong working relationships and develop deep partnerships with the business

Become a subject matter expert on machine learning and predictive modeling

Actively research new theories, techniques, and technologies

Must Have Skills:

Proficient in Python and SQL

Hands-on experience in database technology (Postgres, Redis, Elastic Search)

Familiarity with transformer architectures (SLM, LLM, VLM, Embedding Models)

Desired Skills

Expertise in API development and container technology (Docker, Podman)

Experience with cloud platform (Google Cloud Platform) and services (Big Query, google cloud storage, Cloud SQL, Vector Search and so on)

Working knowledge of software development tools and practices (Git, branching model, agile development, Test-driven-development)

Hands-on experience building LLM-based solutions such as retrieval augmented generation systems, chatbots, agentic ai tools, and so on.

Education:
MS/ PhD in Computer Science, Statistics, Math, Economics, Engineering, Business Analytics, Data Science or a related field

By providing your phone number, you consent to: (1) receive automated text messages and calls from the Judge Group, Inc. and its affiliates (collectively "Judge") to such phone number regarding job opportunities, your job application, and for other related purposes. Message & data rates apply and message frequency may vary. Consistent with Judge's Privacy Policy, information obtained from your consent will not be shared with third parties for marketing/promotional purposes. Reply STOP to opt out of receiving telephone calls and text messages from Judge and HELP for help.

Contact:

This job and many more are available through The Judge Group. Please apply with us today!
Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.
  • Dice Id: cxjudgpa
  • Position Id: 1081525
  • Posted 30+ days ago

Company Info

About Judge Group, Inc.

The Judge Group, is a leading professional services firm specializing in talent, technology, and learning solutions. We consult, staff, train, and solve. Through our work we make people and organizations better.

Our services are successfully delivered through a network of more than 30 offices across the United States, Canada, and India. The Judge Group is proud to partner with the best and brightest companies in business today, including over 60 of the Fortune 100. We serve organizations in financial services, healthcare, life sciences, insurance, government (including aerospace and defense), manufacturing, and technology and telecommunications.

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