
Senior Data Scientist
- Dublin
- Permanent
- Full-time
- Define analytics that underpins product design and contribute to various tasks related to it such as ideate, define & build related processes throughout product lifecycle
- Research methods and solutions, analyze data, prototype solutions and critically evaluate designs to optimize product development
- Advocate for both technical and procedural changes and shepherd them through to delivery
- Ensure quality in design, coding outputs and artefacts produced
- Collaborate with the team and partners to solve problems
- Collaborate with other teams who will integrate prototype solutions into product delivery
- Work independently and with focus when needed
- Explore, analyze and interpret large datasets to identify patterns, trends and anomalies
- Build data pipelines, models and dashboards to demonstrate value proposition
- Maintain your knowledge of latest technologies and techniques relating to analytics and data science
- Guide and support other team members
- Work within the solution delivery methods and standards set out
- Bachelor's Degree (or higher) in engineering, data science, computer science or a related field
- A high standard of programming experience with Python ,PySpark and SQL
- Experience using collaborative cloud-based environments such as Databricks and Azure
- Experience building machine learning and prediction models
- Experience with production system change delivery methods and techniques including Agile delivery framework, deployment practices, version control and testing practices
- Experience with data analysis and problem solving
- Knowledge of best practices for optimization
- Experience with embedding analytics in commercial product development
- Experience working on large scale and high impact projects
- Experience leading process improvement/optimization activities
- Ability to quickly build subject matter expertise
- Familiarity with the HealthCare/Pharmaceutical industry
- Masters degree or PhD in a technical field (e.g. computer science, science, engineering, math, statistics, physics etc.)