Data Science Lead

About Brillio:

Brillio is one of the fastest growing digital technology service providers and a partner of choice for many Fortune 1000 companies seeking to turn disruption into a competitive advantage through innovative digital adoption. Brillio, renowned for its world-class professionals, referred to as "Brillians", distinguishes itself through their capacity to seamlessly integrate cutting-edge digital and design thinking skills with an unwavering dedication to client satisfaction.

Brillio takes pride in its status as an employer of choice, consistently attracting the most exceptional and talented individuals due to its unwavering emphasis on contemporary, groundbreaking technologies, and exclusive digital projects. Brillio's relentless commitment to providing an exceptional experience to its Brillians and nurturing their full potential consistently garners them the Great Place to Work® certification year after year.

Data Science Lead

Primary Skills

• ML - classification, regression, clustering, boosting, Time series - (ARIMA, xgboost, exponential smoothening, moving average), causal ML, random forest, decision trees and LLM is good to have.

Job requirements

• Location: Chicago, IL - Hybrid with 2-3 days on-site in a week

Looking for a Data Science Lead with expertise in machine learning, time series forecasting, causal ML, cloud data platforms, and AI technologies:

We are seeking an experienced and forward-thinking Data Science Lead to drive advanced analytics and machine learning initiatives across our organization. The ideal candidate will bring deep expertise in machine learning, particularly in time series forecasting and causal inference modeling, along with hands-on experience in cloud-based data platforms and a strong understanding of AI technologies.

will lead a team of data scientists and work closely with cross-functional stakeholders to design, develop, and deploy data-driven solutions that impact strategic business outcomes.

Key skillset

• Programming: Proficiency in Python and PySpark for data manipulation and ML model development.

• ML Expertise: Strong experience in machine learning, especially:

• Time Series Forecasting (ARIMA, Prophet, LSTM, XGBoost, etc.)

• Causal ML (e.g., uplift modeling, propensity scoring, causal impact analysis)

• Deep Learning: Neural networks (CNNs, RNNs, LSTMs), transformers, embeddings

• NLP: Language modeling, embeddings (Word2Vec, BERT, GPT), text classification, summarization

• SQL: Strong skills in writing complex queries for data extraction and transformation.

• Cloud Platforms: Experience with AWS (S3, SageMaker, Lambda, Glue, etc.)

• Databricks: Familiarity with Lakehouse architecture, notebook development, and collaborative ML workflows.

Know more about:

DAI: https://www.brillio.com/services-data-analytics/

Know what it’s like to work and grow at Brillio: https://www.brillio.com/join-us/

Equal Employment Opportunity Declaration

Brillio is an equal opportunity employer to all, regardless of age, ancestry, colour, disability (mental and physical), exercising the right to family care and medical leave, gender, gender expression, gender identity, genetic information, marital status, medical condition, military or veteran status, national origin, political affiliation, race, religious creed, sex (includes pregnancy, childbirth, breastfeeding, and related medical conditions), and sexual orientation.

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