Sr. Data Analyst/Data Architect - Onsite CA or MA

How will you make an impact?

We are seeking a Senior GTS Data Analyst to lead data-driven initiatives, leveraging statistical modeling, machine learning, and AI to drive strategic business insights. This role involves working collaboratively with cross-functional teams, translating complex data into actionable recommendations, and fostering a data-driven culture within the organization.

Here at Glaukos, you will:

• Work in an innovative, data-driven environment within a high-impact industry.


• Lead transformational projects leveraging AI, ML, and advanced analytics.


• Collaborate with top-tier professionals in a fast-paced, evolving field.

What will you do?

Data Analysis & Modeling:

• Develop and implement advanced statistical models and machine learning algorithms to solve business challenges.


• Conduct exploratory data analysis (EDA) to uncover trends and insights.


• Ensure high-quality data is accessible and optimized for analysis.

Project Leadership:

• Lead end-to-end data science projects, from problem definition to model deployment and ongoing monitoring.


• Define project objectives, timelines, and deliverables in collaboration with stakeholders.

Collaboration & Communication:

• Partner with business units to understand challenges and provide data-driven solutions.


• Present complex findings to non-technical stakeholders via reports, visualizations, and workshops.


• Advocate for a data-centric decision-making culture across the organization.

Continuous Improvement & Innovation:

• Stay current with emerging trends, algorithms, and best practices in AI, ML, and data analytics.


• Enhance existing models and processes through experimentation and innovation.


• Recommend new tools and technologies to optimize data capabilities.

Documentation & Compliance:

• Maintain thorough documentation of models, methodologies, and analyses.


• Ensure adherence to data privacy, security, GxP, and SOX compliance requirements.

How will you get here?

Required Qualifications

• Bachelor's Degree in Data Science, Statistics, Computer Science, Mathematics, or a related field.


• 5+ years of industry experience in data analytics, machine learning, or AI-driven solutions.


• Proficiency in Python or R and experience with data manipulation libraries (Pandas, NumPy).


• Strong knowledge of machine learning frameworks (e.g., Scikit-learn, TensorFlow, Keras).


• Excellent problem-solving skills and an analytical mindset.


• Ability to translate complex data concepts for a non-technical audience.

Preferred Skills

• Experience with big data technologies & cloud platforms (Google Data Analytics, BigQuery).


• Familiarity with data visualization tools (Tableau, Power BI, Looker).


• Knowledge of GxP and SOX Compliance (preferred).


• Previous experience in Life Sciences, Pharma, or Biotech (a plus).