Senior Data Science Lead - R01544662

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.
Senior Data Science Lead

Primary Skills

• Hypothesis Testing, T-Test, Z-Test, Regression (Linear, Logistic), Python/PySpark, SAS/SPSS, Statistical analysis and computing, Probabilistic Graph Models, Great Expectation, Evidently AI, Forecasting (Exponential Smoothing, ARIMA, ARIMAX), Tools(KubeFlow, BentoML), Classification (Decision Trees, SVM), ML Frameworks (TensorFlow, PyTorch, Sci-Kit Learn, CNTK, Keras, MXNet), Distance (Hamming Distance, Euclidean Distance, Manhattan Distance), R/ R Studio

Specialization

• Data Science Advanced: Data Science Lead

Job requirements

• Key Responsibilities Model Development & Implementation:
• Design, develop, and implement machine learning models and statistical algorithms to solve business problems (e.g., predictive modeling, classification, recommendation systems, NLP).
• Own the end-to-end lifecycle of model development: from data exploration and feature engineering to model training, deployment, and monitoring.
• Data Analysis & Insights Generation: Perform in-depth exploratory data analysis (EDA) to identify trends, patterns, and opportunities. Translate complex data into clear and actionable business insights.
• Business Collaboration: Partner with stakeholders (Product, Engineering, and Business teams) to understand requirements and deliver impactful data science solutions. Communicate findings and model outcomes effectively to technical and non-technical audiences.
• Technical Leadership: Guide and mentor junior data scientists in best practices, model optimization, and advanced techniques. Act as a thought leader, contributing to the strategic roadmap of data science initiatives.
• Scalability and Deployment: Collaborate with Data Engineers and ML Engineers to productionize models using cloud platforms (AWS, GCP, Azure) and MLOps frameworks. Ensure models are robust, scalable, and integrated with business workflows.
• Continuous Improvement: Monitor model performance post-deployment and iterate on models to improve accuracy and business value. Stay up-to-date with the latest tools, techniques, and trends in machine learning and data science.
• Key Skills:- Machine Learning (Supervised/Unsupervised) Python/R, TensorFlow, PyTorch, Scikit-learn Data Analysis and Feature Engineering SQL, Spark, Big Data Technologies Cloud Platforms (AWS, Azure, GCP) A/B Testing and Statistical Analysis
• Excellent Communication and Collaboration Skills
• #LI-PA1 
• 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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