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).
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