Principal Data Scientist

🔥 0 minutes ago

🏖️ New Jersey – Remote

🏖️ New Jersey – Remote

💵 $185k - $190k / year

⏰ Full Time

🔴 Lead

📊 Data Scientist

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Brillio

WebsiteLinkedInAll Job Openings

1001 - 5000 employees

🤖 Artificial Intelligence

🔒 Cybersecurity

💰 Private Equity Round on 2019-01

Artificial Intelligence • Consulting • Cybersecurity

Brillio is a technology consulting company that specializes in driving digital transformation for businesses across various industries such as banking, financial services, insurance, life sciences, telecom and media, healthcare, and retail. They focus on customer experience transformation, data and AI, product and platform engineering, and provide infrastructure, cloud, and security solutions. With an emphasis on engineering digital products and leveraging generative AI, Brillio aims to provide bespoke solutions that help businesses thrive in the age of AI and technological disruption. They also offer services to help businesses adapt to new technological challenges and turn disruptions into competitive advantages.

📋 Description

• Design and implement robust statistical models and machine learning algorithms for large-scale data analysis and predictive analytics • Lead end-to-end development of data science projects, including hypothesis testing, regression analysis, classification, and forecasting • Collaborate with cross-functional teams to define business requirements, translate them into analytical solutions, and drive measurable impact • Optimize and automate data pipelines using Python, PySpark, and R, ensuring efficient data processing and feature engineering • Develop, validate, and maintain probabilistic graph models and advanced statistical computing frameworks • Utilize industry-leading ML frameworks such as TensorFlow, PyTorch, and Sci-Kit Learn to build, train, and deploy models • Establish rigorous model evaluation and monitoring processes using tools like Great Expectations and Evidently AI • Mentor and guide junior data scientists, fostering technical excellence and continuous learning within the team

🎯 Requirements

• 15 - 18 years of experience in advanced data science roles, with extensive leadership in designing and deploying statistical and machine learning solutions • Expertise in hypothesis testing, including T-Test and Z-Test methodologies • Advanced proficiency in regression techniques (linear and logistic) • Strong programming skills in Python, PySpark, and R/R Studio • Hands-on experience with SAS and SPSS for statistical analysis and computing • In-depth knowledge of probabilistic graph models • Experience with forecasting methods such as Exponential Smoothing, ARIMA, and ARIMAX • Practical use of classification algorithms including Decision Trees and Support Vector Machines (SVM) • Proficiency with ML frameworks: TensorFlow, PyTorch, Sci-Kit Learn, CNTK, Keras, MXNet • Familiarity with distance metrics (Hamming, Euclidean, Manhattan) • Working knowledge of Kubeflow and BentoML for model deployment and orchestration • Master’s or PhD degree in Data Science, Statistics, Computer Science, Mathematics, or a related field • Relevant certifications in machine learning, statistical analysis, or advanced data science