Senior Data Science Lead

About Brillio

Brillio is a fast-growing digital technology service provider and a partner of choice for Fortune 1000 companies seeking to transform disruption into a competitive advantage through innovative digital adoption. Known for its world-class professionals ('Brillians'), Brillio integrates cutting-edge digital and design thinking skills with a strong dedication to client satisfaction. Consistently recognized as a Great Place to Work®, Brillio fosters an environment that attracts top talent by focusing on contemporary technologies and exclusive digital projects.

About the Role

The Senior Data Science Lead will spearhead the design and implementation of complex data science solutions to drive business impact and inform strategic decision-making. This role involves developing, validating, and optimizing advanced statistical and machine learning models, collaborating with cross-functional teams, and mentoring junior data scientists.

Key Responsibilities

• Lead the design and implementation of complex data science solutions to drive business impact and inform strategic decision-making.
• Develop, validate, and optimize advanced statistical and machine learning models, including regression, classification, and forecasting algorithms.
• Collaborate with cross-functional teams to translate business objectives into actionable analytics projects and deliver measurable outcomes.
• Mentor and guide junior data scientists, fostering a culture of technical excellence and continuous learning.
• Leverage Python, R, and relevant frameworks to build scalable data pipelines and automate model deployment using tools like KubeFlow and BentoML.
• Conduct rigorous statistical analysis, including hypothesis testing, T-Test, Z-Test, and probabilistic graph modeling.
• Implement and monitor model validation, explainability, and performance tracking using tools like Great Expectation and Evidently AI.
• Stay current with emerging trends in machine learning, artificial intelligence, and big data technologies to drive innovation.

Required Skills

• Expertise in hypothesis testing, T-Test, and Z-Test.
• Advanced proficiency in regression techniques (linear and logistic).
• Strong programming skills in Python and PySpark.
• Experience with SAS or SPSS for statistical analysis and computing.
• Hands-on knowledge of probabilistic graph models.
• Proficiency with machine learning frameworks (TensorFlow, PyTorch, Sci-Kit Learn, CNTK, Keras, MXNet).
• Forecasting techniques (exponential smoothing, ARIMA, ARIMAX).
• Experience with model deployment tools (KubeFlow, BentoML).
• Strong understanding of classification algorithms (decision trees, SVM).
• Proficiency in R and R Studio.

Preferred Skills

• Experience with Great Expectation and Evidently AI for model validation and monitoring.
• Knowledge of advanced distance metrics (Hamming, Euclidean, Manhattan).
• Expertise in scalable data engineering for machine learning pipelines.
• Hands-on experience with cloud-based machine learning platforms.
• Familiarity with MLOps best practices and CI/CD for data science.

Desired Qualifications

• Master’s or PhD in Data Science, Statistics, Computer Science, Mathematics, or a related quantitative field.
• Relevant certifications in machine learning, data science, or analytics.

Job Details

• Experience Range: 12+ years in data science, including advanced statistical modeling and machine learning expertise.
• Location: Deerfield Beach, FL
• Work Type: Hybrid (minimum 3 days onsite per week).

Compensation

$140 - $150 a year