Job Description

Halo believes in

innovation by inclusion

to solve

digital problems

. As an international agency of over

200 people

specializing in interactive media strategy and development, we embrace equity and empowerment in a serious way. Our interdisciplinary teams of unique designers, developers and entrepreneurial minds with a variety of backgrounds, viewpoints, and skills connect to solve business challenges of every shape and size. We empathize to form

deep, meaningful relationships

with our clients so they can do the same with their audience. Working at Halo

feels like

belonging

. Learn more about our philosophy, benefits, and team at https://halopowered.com/As an AI Architect, you will lead the design of scalable, secure, and modern technology solutions, leveraging artificial intelligence, cloud platforms, and microservices--while ensuring alignment with AI governance principles, agile delivery, and platform modernization strategies


As a Data Scientist, you'll be part of a multidisciplinary team applying advanced analytics, machine learning, and generative AI to solve real-world problems across our consulting, health, wealth, and career businesses. You will collaborate closely with engineering, product, and business stakeholders to develop scalable models, design intelligent pipelines, and influence data-driven decision-making across the enterprise.

Requirements

Design, develop, and deploy robust

machine learning models

and

data pipelines

that support AI-enabled applications. Apply

exploratory data analysis (EDA)

and feature engineering techniques to extract insights and improve model performance. Collaborate with cross-functional teams to translate business problems into analytical use cases. Contribute to the

full machine learning lifecycle

: from data preparation and model experimentation to deployment and monitoring. Work with structured and unstructured data, including text, to develop

NLP and generative AI solutions

. Define and enforce best practices in model validation, reproducibility, documentation, and versioning. Partner with engineering to integrate models into production systems using

CI/CD pipelines

and cloud-native services. Stay current with industry trends, emerging techniques (e.g.,

RAG

,

LLMs

,

embeddings

), and relevant tools.

Required Skills & qualifications

3+ years of experience in Data Science, Machine Learning, or Applied AI roles. Proficiency in

Python

(preferred) and a strong grasp of

pandas

,

NumPy

, and

scikit-learn

. Skilled in data querying, manipulation, and pipeline development using

SQL

and modern ETL frameworks. Experience working with

Databricks

, including notebooks, MLflow, Delta Lake, and job orchestration Experience with Git-based workflows and Agile methodologies. Strong analytical thinking, problem-solving skills, and communication abilities. Exposure to

Generative AI

,

LLMs

,

prompt engineering

, or

vector-based search

. Hands-on experience with

cloud platforms

(AWS, Azure, or GCP) and deploying models in scalable environments. Knowledge of

data versioning

,

model registry

, and

ML lifecycle tools

(e.g., MLflow, DVC, SageMaker, DataBricks, or Vertex AI). Experience working with visualization tools like

Tableau

,

Power BI

, or

Qlik

. Degree in

Computer Science

,

Data Science

,

Applied Mathematics

, or a related field

Benefits

100% RemoteWork. Salary in USD. * Get to work on challenging projects for the U.S