Brillio
Technology
SeniorDataScienceLead
Neural analysis suggests this role is
optimal for Lead candidates.
“Senior Data Science Lead at Brillio. Skills: Data Science, Machine Learning, Statistical Modeling, Model Deployment. Lead design of data science solutions. Implement data science solutions”
What You'll Achieve.
Drive business impact; Inform strategic decision-making; Deliver measurable outcomes
Industry & Context.
What They're Looking For.
Must Have
12+ years of experience in data science, Advanced statistical modeling expertise, Machine learning expertise, Expertise in hypothesis testing, Expertise in T-Test, Expertise in Z-Test, Advanced proficiency in regression techniques, Programming skills in Python, Programming skills in PySpark, Experience with SAS, Experience with SPSS, Hands-on knowledge of probabilistic graph models, Proficiency with machine learning frameworks, Forecasting techniques experience, Experience with model deployment tools, Understanding of classification algorithms, Proficiency in R, Proficiency in R Studio
Nice to Have
Experience with Great Expectation, Experience with Evidently AI, Knowledge of advanced distance metrics, Expertise in scalable data engineering, Hands-on experience with cloud-based ML platforms, Familiarity with MLOps best practices, Familiarity with CI/CD for data science
What You'll Do.
Lead design of data science solutions
Implement data science solutions
Develop statistical models
Validate statistical models
Optimize statistical models
Develop machine learning models
Validate machine learning models
Optimize machine learning models
Collaborate with cross-functional teams
Translate business objectives
Develop analytics projects
Deliver measurable outcomes
Mentor junior data scientists
Guide junior data scientists
Foster technical excellence
Foster continuous learning
Build scalable data pipelines
Automate model deployment
Conduct statistical analysis
Conduct hypothesis testing
Conduct probabilistic graph modeling
Uncover actionable insights
Implement model validation
Implement model explainability
Implement performance tracking
Monitor model validation
Monitor model explainability
Monitor performance tracking
Stay current with trends
How You'll Work.
Team & Collaboration
Cross-functional teams
Full Job Description
## Description 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 Specialist ## Job requirements Experience Range: 12+ years of experience in data science, including hands-on expertise in advanced statistical modeling and machine learning Location: Deerfield Beach, FL Work Type: Hybrid min 3 days onsite per week Key Responsibilities: 1. Lead the design and implementation of complex data science solutions to drive business impact and inform strategic decision-making 2. Develop, validate, and optimize advanced statistical and machine learning models, including regr
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