Intuitive is a pioneer in robotic-assisted surgical systems, committed to improving minimally invasive care. They are seeking an experienced Data Scientist to join their Enterprise Analytics team, where the role involves deriving insights from data through visualization and statistical methods to drive product and operational improvements.
Storytelling with data: the ability to use data visualization effectively to tell a story and drive action by presenting information
Defining and designing KPI based dashboards / reports that summarize organizational health and highlight “hot spots” for executives to focus on
Continual hypothesis testing through ad hoc analysis and model testing
Working with Data Engineers, Data Architects, to define back-end requirements for data products (aggregations, materialized views, tables – visualization)
Data investigation to discover correlations / trends and the ability to explain them
Collaborate with internal and external customers to develop an analytics portfolio consistent with the vision and goals of our stakeholders
Identify data gaps from downstream and upstream source systems. Work with IT partners to improve data quality and governance with the goal of delivering value added data for analytics
Collaborate with key stakeholders on how to best leverage analytics to inform better business decisions and optimization operations
Understand the decision-making process, workflows, and business and information needs of our analytic teams
Proactively mine data warehouse to identify trends and patterns and generate insights for business units and senior leadership
Develop frameworks and processes to analyze unstructured information collected through our medical devices for use in the service lines
Partner with business teams to understand their data and reporting requirements
Identify opportunities to improve processes and strategies with technology solutions
Support analysts and UI engineers to enhance information visualization through development of dashboards and user interfaces
Work closely with product managers, architects, and business units for knowledge sharing, mentoring, and training
Drive standardization of key metrics across various business stakeholders to improve data governance
Continually recommend, develop, and implement improved processes to collect/analyze data, and visualize/present insights
Independently lead complex data & analytics projects, organizing the team that will deliver all elements of the final deliverable
Qualification
Required
At least 2+ years of experience in a Data Visualization, Data Scientist, or Data Analyst role
Minimum Bachelor’s or Master’s degree in Business, Economics, Statistics, Engineering, Physics, or other quantitative field
Expertise with data visualization tools like Tableau (certification a plus)
Experience with full-stack data analysis, insight synthesis and presentation.
Proven competency in dashboard design and information visualization techniques
Proficient SQL programming skills with an understanding of database capabilities and experience integrating, structuring, and analyzing large amounts of data from diverse sources
Proven ability using data to generate insight, tell stories, and drive business results
You have a curious business mindset with an ability to condense complex concepts and analysis into clear and concise takeaways that drive action
Strong analytical skills – creative problem solver with the ability to aggregate, cleanse and analyze a large amount of data from various sources
Working knowledge of database technologies (e.g. ODBC, Access, SQL)
Experience with R, Python, and Jupyter Notebook
Strong written and verbal communication skills
Proven ability to effectively build and manage relationships, interact at multiple levels of the organization and across multiple functions
Medical robotics has unique characteristics that will require immersion in clinical and technical training and you must come up to speed quickly– an interest and desire to learn are critical
Ability to investigate issues to root cause, understand and explain trends/shifts in data
A sense of pride and personal accountability for resulting customer experience is a must
You are self-directed, passionate about data, and focused on delivering the right results
Preferred
Advanced degree in Data Science, Statistics, Engineering, or other quantitative discipline
Experience in Medical Devices
Familiarity with machine learning techniques
Experience with Cloud Analytics Platforms (MS Azure, AWS, Snowflake or GCP)
Strong experience in data modeling, data analysis, or analytics work
Passion for deriving meaning from data and optimizing visual display of information (design perspective)
Benefit
Intuitive designs and manufactures robotic-assisted surgical systems.
