Principal Data Scientist - R01554696 at Brillio

Chicago, Illinois, United States

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Not SpecifiedCompensation

Senior (5 to 8 years), Expert & Leadership (9+ years)Experience Level

Full TimeJob Type

UnknownVisa

TechnologyIndustries

Requirements

Master’s plus degree in Computer Science, Statistics, Applied Mathematics, or a related field
7+ years of experience in data science and machine learning, with a proven track record of delivering models to production
Proficiency in Python and ML libraries such as scikit-learn, XGBoost, LightGBM, PyTorch, or TensorFlow
Strong understanding of statistical modeling, machine learning algorithms, and experiment design
Solid experience with SQL and data manipulation tools (e.g., Pandas, Spark, or Dask)
Experience deploying models using APIs (Flask, FastAPI), Docker, and orchestration tools (e.g., Airflow, Kubeflow, MLflow)
Hands-on experience with cloud platforms (AWS, GCP, or Azure) and model serving tools
Excellent problem-solving and communication skills; able to explain complex concepts clearly and effectively
Strong coding and data manipulation skills in Python & SQL
Proficiency in AWS, with exposure to GCP preferred
Skilled in debugging & troubleshooting Python experiments and executions
GitHub proficiency: comfortable working in repositories with many contributors, managing branches, pull requests, and code reviews
Self-starter: able to work independently and proactively contribute ideas
Team-oriented: willing to support team members while offering directional guidance on model enhancements
Fast learner: quick to adapt to new tools, workflows, and business contexts
Preferred Requirements
Familiar with McDonald’s business
Experience with time series forecasting (e.g., LGBM/LightGBM, Darts library), causal inference, recommendation systems, or NLP
Familiarity with data versioning and reproducibility tools (e.g., DVC, Weights & Biases)
Exposure to feature stores, streaming data (e.g., Kafka), or real-time ML systems
Background in MLOps and experience building generalizable ML frameworks or platforms
Ideally an ML Engineer (seasoned Data Scientists with relevant experience suitable)
MLOps expertise: hands-on experience with Astronomer, Airflow, and DAG creation; capable of building wrappers and scalable pipelines
Proven experience in sales forecasting; understanding of business KPIs and translating insights into action

Responsibilities

(Note: Job description focuses primarily on qualifications; responsibilities not explicitly listed but implied through context such as building/refining forecasting models, deploying to production, MLOps pipeline development, and team collaboration on model enhancements.)

Skills

Python

PySpark

SAS

SPSS

scikit-learn

XGBoost

LightGBM

PyTorch

TensorFlow

SQL

Pandas

Spark

Dask

Flask

FastAPI

Docker

Airflow

Kubeflow

MLflow

AWS

GCP

Azure

Hypothesis Testing

Regression

ARIMA

Decision Trees

SVM

Brillio

Technology consulting for digital transformation

About Brillio

Brillio helps businesses with their digital transformation by providing technology consulting services. The company focuses on creating customized digital solutions that utilize artificial intelligence and cloud technologies to meet the specific needs of each client. This includes improving operational efficiency and enhancing user experiences through real-time responses and better workflows. Brillio serves a variety of clients, including large Fortune 500 companies, with a strong emphasis on the healthcare sector. Unlike many competitors, Brillio's approach is centered on developing bespoke solutions that give clients a competitive advantage, aiming to help them evolve into 'generative enterprises.' The company's goal is to drive significant improvements in business operations and outcomes through its consulting services and technology implementations.

Edison, New JerseyHeadquarters

2014Year Founded

LATE_VCCompany Stage

Consulting, AI & Machine Learning, HealthcareIndustries

1,001-5,000Employees

Benefits

Remote Work Options

Risks

High competition in tech may impact Brillio's talent acquisition and service scaling.

Over-reliance on healthcare exposes Brillio to sector-specific regulatory and funding risks.

Expansion into new markets may stretch resources, leading to potential operational inefficiencies.

Differentiation

Brillio specializes in bespoke digital solutions for diverse industries, focusing on AI and cloud.

The company is recognized as an Enterprise Innovator in healthcare payer services.

Brillio's Cloud and AI Studio aims to modernize enterprise IT systems and optimize workflows.

Upsides

Increased demand for AI-driven healthcare solutions boosts Brillio's market potential.

Expansion in India enhances service delivery and innovation through a growing tech talent pool.

Recognition in Open Banking IT Services highlights Brillio's role in financial digital transformation.

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