Data Scientist

  • Alpharetta, GA
  • Posted 1 hour ago | Updated 1 hour ago

Overview

Remote
On Site
Hybrid
$70 - $90
Accepts corp to corp applications
Contract - W2
Contract - Independent
Contract - 36 Month(s)
Able to Provide Sponsorship

Skills

Artificial Intelligence
Cloud Computing
Collaboration
Communication
Conflict Resolution
Dashboard
Data Flow
Data Science
Data Wrangling
Generative Artificial Intelligence (AI)
Good Clinical Practice
Google Cloud
Google Cloud Platform
Machine Learning (ML)
Machine Learning Operations (ML Ops)
Microservices
Natural Language Processing
Predictive Modelling
Problem Solving
Python
SQL
Scalability
Statistics
PyTorch
TensorFlow
Training
Unstructured Data
Vertex
scikit-learn

Job Details

Reach me directly on LinkedIn:
*-*linkedin.com/in/technical-staffing*-*

  1. Quick Notes (Must-Have):

  1. You are local to Georgia or from bordering states (TN, NC, SC, AL, FL).

  2. Comfortable with 5 days onsite in Alpharetta, GA + in-person interview.

  3. Last 5 years of Google Cloud Platform experience in Data Science or Data Engineering roles.

About the Role

We are seeking a hands-on Data Scientist with deep expertise in Google Cloud Platform (Google Cloud Platform) and Vertex AI to design, develop, and deploy advanced machine learning solutions. The ideal candidate will have strong applied experience in predictive modeling, NLP, and MLOps on Google Cloud Platform. This is a fully onsite role based in Alpharetta, GA.

Key Responsibilities

  • Develop and deploy scalable ML models using Vertex AI, BigQuery ML, and AI Platform Pipelines.

  • Work with structured and unstructured data to generate actionable insights and predictive intelligence.

  • Collaborate with Data Engineers and Cloud Architects to ensure robust data pipelines and feature stores on Google Cloud Platform.

  • Implement MLOps best practices using Vertex AI Pipelines, Cloud Build, and Cloud Functions.

  • Evaluate, fine-tune, and optimize models for performance, scalability, and cost efficiency.

  • Communicate findings through dashboards, data visualizations, and reports to business stakeholders.

  • Stay current on Google Cloud Platform AI/ML innovations, LLM advancements, and AutoML tools.

Required Skills & Experience

  • 6+ years total experience in data science or applied machine learning.

  • 3+ years hands-on experience with Google Cloud Platform (BigQuery, Vertex AI, Dataflow, Dataproc, Pub/Sub).

  • Proficiency in Python, SQL, and frameworks like TensorFlow, PyTorch, or Scikit-Learn.

  • Experience in model training, tuning, deployment, and monitoring in a cloud-native environment.

  • Strong background in statistics, data wrangling, and feature engineering.

  • Exposure to LLMs, GenAI, or AutoML within Vertex AI is a plus.

  • Excellent communication and problem-solving skills.

Preferred Qualifications

  • Google Cloud Platform Professional Data Scientist or ML Engineer Certification.

  • Experience integrating ML models with APIs or microservices.

  • Familiarity with Looker, BigQuery ML, and Dataform.

Why Join Us

  • Work onsite with a collaborative, high-impact data science team.

  • Access to cutting-edge Google Cloud Platform AI/ML technologies.

  • Competitive compensation with growth opportunities in cloud-based ML.

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.

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