Job requirements
Job Title: Senior Data Science Lead
Location: Santa Ana, CA, USA
Work Type: 2 days onsite per week
Experience: 10–15+ years (with strong AI leadership background)
Role Overview
A highly experienced Senior Data Science Lead to drive advanced AI initiatives with a strong focus on Computer Vision (CV) and Optical Character Recognition (OCR). This role will provide technical leadership, architecture direction, and hands-on expertise in designing, developing, and deploying scalable AI solutions for enterprise-grade use cases.
This is a highly client-facing role, requiring a strong blend of technical depth, consultative mindset, and leadership capability. The ideal candidate will combine deep technical expertise with strong stakeholder management and team leadership capabilities.
Key Responsibilities
Technical Leadership
• Lead the design, development, and deployment of end-to-end AI/ML solutions, with primary focus on Computer Vision and OCR use cases.
• Architect scalable and production-ready AI systems, ensuring performance, accuracy, security, and maintainability.
• Drive adoption of state-of-the-art AI techniques including deep learning, transformers, multimodal models, and document intelligence.
• Review and guide model selection, feature engineering, training strategies, and evaluation metrics.
Computer Vision & OCR Expertise
• Lead CV initiatives such as image classification, object detection, segmentation, face/text recognition, and video analytics.
• Design and optimize OCR pipelines for structured and unstructured documents (invoices, forms, IDs, contracts, handwritten text).
• Implement and enhance document understanding workflows including layout analysis, key-value extraction, and semantic interpretation.
• Improve model accuracy through data augmentation, active learning, and continuous feedback loops.
AI Engineering & Deployment
• Work closely with engineering teams to deploy models using MLOps best practices.
• Design CI/CD pipelines for ML, model monitoring, drift detection, and automated retraining.
• Ensure AI solutions are cloud-native and scalable (AWS / Azure / GCP).
Stakeholder & Delivery Management
• Partner with business stakeholders to translate business problems into AI-driven solutions.
• Provide technical thought leadership during client discussions, solutioning, and proposals.
• Own delivery outcomes, timelines, and quality for AI programs.
People & Practice Leadership
• Mentor and guide data scientists, ML engineers, and analysts.
• Establish best practices, coding standards, and governance for AI development.
• Contribute to building AI capability, accelerators, and reusable frameworks within the organization.
Education
• Bachelor’s or master’s degree in computer science, Data Science, Artificial Intelligence.
Experience
• 10–15+ years of experience in Data Science / AI, with at least 5+ years in a leadership role.
• Proven, hands-on experience delivering Computer Vision and OCR solutions at scale.
• Strong experience working in enterprise or consulting environments.
Soft Skills & Leadership Traits
• Strategic thinker with strong problem-solving skills.
• Ability to balance hands-on technical work with leadership responsibilities.
• Excellent communication, influencing, and stakeholder management skills.
• Strong mentoring mindset and passion for building high-performing teams.
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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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Skills Required
- 5-8 years experience in advanced data science roles
- Advanced proficiency in Python
- Advanced proficiency in PySpark
- Expertise in statistical analysis and hypothesis testing (T-Test, Z-Test)
- Hands-on experience with linear and logistic regression
- Practical knowledge of probabilistic graph models
- Experience with time-series forecasting (ARIMA, ARIMAX, exponential smoothing)
- Proficiency in classification algorithms (decision trees, SVM)
- Experience with ML frameworks: TensorFlow, PyTorch, scikit-learn, CNTK, Keras, MXNet
- Skilled in statistical tools SAS and SPSS
- Familiarity with R and RStudio
- Experience with distance metrics (Hamming, Euclidean, Manhattan)
- Experience implementing data validation frameworks (Great Expectations, Evidently AI)
- Knowledge of model deployment tools (Kubeflow, BentoML)
- Background in large-scale data processing and distributed computing
- Expertise in feature engineering and dimensionality reduction techniques
- Familiarity with automated machine learning (AutoML) pipelines
- Bachelor's or Master's degree in Computer Science, Statistics, Mathematics, Data Science, or related quantitative field
- Relevant certifications in data science, machine learning, or statistical analysis
Brillio Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Brillio and has not been reviewed or approved by Brillio.
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Healthcare Strength — Healthcare is considered comprehensive, including medical coverage for employees and dependents alongside life, disability, and accidental death protections. Feedback suggests these protections are a core strength of the package.
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Leave & Time Off Breadth — Time-off options include paid leave and parental leave, with flexible or ‘flexible PTO’ approaches cited in some contexts. Feedback suggests this breadth helps support work-life balance when team norms permit usage.
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Wellbeing & Lifestyle Benefits — Wellbeing offerings span counseling, financial-management sessions, fitness programs, and travel insurance, plus region-specific extras like discounted IT hardware and work-from-home essentials. Feedback suggests these add-ons enhance perceived value beyond core insurance.
Brillio Insights
What We Do
Brillio is the leader in global digital business transformation, applying technology with a human touch. We help businesses define internal and external transformation objectives, and translate those objectives into actionable market strategies using proprietary technologies. With 2600+ experts and 13 offices worldwide, Brillio is the ideal partner for enterprises that want to quickly increase their core business productivity, and achieve a competitive edge, with the latest digital solutions.
