Hexacorp
Overview
Role: Data Scientist Location: Alpharetta, GA (Hybrid) Duration: Long Term Contract We are looking for an experienced and forward-thinking
Data Scientist
to join our
Data, Analytics, and Data Products
team. The ideal candidate will have strong hands-on experience using
Google Cloud Platform (Google Cloud Platform)
tools especially
Vertex AI
and
Gemini
to deliver high-impact machine learning, statistical analysis, and generative AI solutions. This role plays a key part in optimizing decision-making and operational strategies across our core business functions. Core Responsibilities Data Analysis & Exploration
Analyze and explore large, complex datasets using
BigQuery
and other Google Cloud Platform-native sources.
Identify patterns, trends, and actionable insights to inform data science projects and business initiatives.
Statistical Modeling & Machine Learning
Build, tune, and evaluate ML models (e.g., classification, regression, clustering, forecasting).
Leverage
Vertex AI
(AutoML, custom training, BigQuery ML) for scalable model development.
Generative AI & LLM Applications
Develop and deploy generative AI use cases using
Vertex AI
and
Gemini .
Engage in prompt engineering, model fine-tuning, feature extraction, summarization, and more.
Design and implement advanced architectures such as
Retrieval-Augmented Generation (RAG) .
Model Deployment & MLOps
Use
Vertex AI Pipelines ,
Model Registry , and
Prediction Services
to deploy and manage models.
Implement monitoring for model drift, bias detection, and performance tracking in production.
Experimentation & Validation
Design and analyze experiments (e.g., A/B testing) to measure model effectiveness and business impact.
Define evaluation metrics aligned with model fairness, quality, and real-world utility.
Cross-Functional Collaboration
Work closely with Data Engineers, Product Managers, and business stakeholders to scope, design, and deploy models.
Translate complex analytical results into clear, strategic business insights.
Required Qualifications Bachelor’s degree in Statistics, Computer Science, Data Science, or a related quantitative field.
6-8 years of experience in applied data science, machine learning, and statistical analysis.
Strong coding skills in
Python
or
R
for data analysis, modeling, and automation.
Hands-on experience with
Vertex AI
components (Notebooks, Pipelines, Training, Prediction).
Familiarity with
Gemini
or other
LLMs ; experience with prompt engineering or GenAI tools.
Strong analytical thinking, communication, and storytelling abilities.
Proven track record with
GenAI , including LLM integration, fine-tuning, and RAG systems.
Deep expertise in the
Vertex AI
ecosystem (Feature Store, Vector Search, Agent Builder).
Solid understanding of
MLOps
practices and tools (e.g., CI/CD pipelines for ML).
Experience with
TensorFlow ,
PyTorch , or
JAX .
#J-18808-Ljbffr
Role: Data Scientist Location: Alpharetta, GA (Hybrid) Duration: Long Term Contract We are looking for an experienced and forward-thinking
Data Scientist
to join our
Data, Analytics, and Data Products
team. The ideal candidate will have strong hands-on experience using
Google Cloud Platform (Google Cloud Platform)
tools especially
Vertex AI
and
Gemini
to deliver high-impact machine learning, statistical analysis, and generative AI solutions. This role plays a key part in optimizing decision-making and operational strategies across our core business functions. Core Responsibilities Data Analysis & Exploration
Analyze and explore large, complex datasets using
BigQuery
and other Google Cloud Platform-native sources.
Identify patterns, trends, and actionable insights to inform data science projects and business initiatives.
Statistical Modeling & Machine Learning
Build, tune, and evaluate ML models (e.g., classification, regression, clustering, forecasting).
Leverage
Vertex AI
(AutoML, custom training, BigQuery ML) for scalable model development.
Generative AI & LLM Applications
Develop and deploy generative AI use cases using
Vertex AI
and
Gemini .
Engage in prompt engineering, model fine-tuning, feature extraction, summarization, and more.
Design and implement advanced architectures such as
Retrieval-Augmented Generation (RAG) .
Model Deployment & MLOps
Use
Vertex AI Pipelines ,
Model Registry , and
Prediction Services
to deploy and manage models.
Implement monitoring for model drift, bias detection, and performance tracking in production.
Experimentation & Validation
Design and analyze experiments (e.g., A/B testing) to measure model effectiveness and business impact.
Define evaluation metrics aligned with model fairness, quality, and real-world utility.
Cross-Functional Collaboration
Work closely with Data Engineers, Product Managers, and business stakeholders to scope, design, and deploy models.
Translate complex analytical results into clear, strategic business insights.
Required Qualifications Bachelor’s degree in Statistics, Computer Science, Data Science, or a related quantitative field.
6-8 years of experience in applied data science, machine learning, and statistical analysis.
Strong coding skills in
Python
or
R
for data analysis, modeling, and automation.
Hands-on experience with
Vertex AI
components (Notebooks, Pipelines, Training, Prediction).
Familiarity with
Gemini
or other
LLMs ; experience with prompt engineering or GenAI tools.
Strong analytical thinking, communication, and storytelling abilities.
Proven track record with
GenAI , including LLM integration, fine-tuning, and RAG systems.
Deep expertise in the
Vertex AI
ecosystem (Feature Store, Vector Search, Agent Builder).
Solid understanding of
MLOps
practices and tools (e.g., CI/CD pipelines for ML).
Experience with
TensorFlow ,
PyTorch , or
JAX .
#J-18808-Ljbffr