Data Scientist - IV

Overview

On Site
Full Time

Skills

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

Job Details

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

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Contact:

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