Senior Data Scientist
Confirmed live in the last 24 hours
Improving healthcare by learning from the experience of cancer patients
Company Overview
Flatiron seeks to identify and solve problems that drive work that moves the needle for customers and patients. In short, they seek to learn and improve cancer research from each patient.
Data & Analytics
Company Stage
Series D
Total Funding
$2.2B
Founded
2012
Headquarters
New York, New York
Growth & Insights
Headcount
6 month growth
↑ 1%1 year growth
↑ 8%2 year growth
↑ 28%Locations
London, UK
Experience Level
Entry
Junior
Mid
Senior
Expert
Desired Skills
Data Analysis
Python
CategoriesNew
AI & Machine Learning
Data & Analytics
Requirements
- You have 3+ years of industry experience in relevant roles
- You have a strong background in statistics/analytics/ML and can fit the appropriate analysis/modeling approach to complex business or research problems
- You're impact-oriented, and care deeply about creating real change for customers, users, and ultimately patients. You choose the right, rather than the flashiest, method available to reach your goals
- You are a clear and confident communicator who can explain technical concepts to business and clinical partners
- You are versatile and can easily pick up new programming languages and tools, but come with strong experience in Python
- You have a record of success driving initiatives forward by generating buy-in, managing complexity, and continuously delivering business impact
- You are proficient in English
- You have experience in Data Engineering, including ETL and data warehousing tools
- You have collaborated with other technical team members in a production development environment using formal version control and one or more modern programming languages
- You have experience working with healthcare-related data
Responsibilities
- Rapidly iterate on early stage products where a hybrid skill set of product intuition, customer empathy, and data expertise is essential
- Develop a deep understanding of source data and develop data processing and quality assurance approaches for both structured and unstructured data
- Help shape our approach to integrating machine learning and other automated technologies into Flatiron's data processing design
- Collaborate with cross functional stakeholders to develop and implement shared data processing strategies and analytic methods to enable real-world evidence generation based on global datasets
- Devise and build data analyses and visualizations that provide value to Flatiron's data partners and customers
- Immerse yourself in business and technical context to help your team identify opportunities for optimizing our processes and unlocking new value from our unique datasets
- Evaluate new data sources to unlock new product and research opportunities