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Data Scientist - job 1 of 2

Company Description

At Intuitive, we are united behind our mission: we believe that minimally invasive care is life-enhancing care. Through ingenuity and intelligent technology, we expand the potential of physicians to heal without constraints.

As a pioneer and market leader in robotic-assisted surgery, we strive to foster an inclusive and diverse team, committed to making a difference. For more than 25 years, we have worked with hospitals and care teams around the world to help solve some of healthcare's hardest challenges and advance what is possible.

Intuitive has been built by the efforts of great people from diverse backgrounds. We believe great ideas can come from anywhere. We strive to foster an inclusive culture built around diversity of thought and mutual respect. We lead with inclusion and empower our team members to do their best work as their most authentic selves.

Passionate people who want to make a difference drive our culture. Our team members are grounded in integrity, have a strong capacity to learn, the energy to get things done, and bring diverse, real world experiences to help us think in new ways. We actively invest in our team members to support their long-term growth so they can continue to advance our mission and achieve their highest potential.

Join a team committed to taking big leaps forward for a global community of healthcare professionals and their patients. Together, let's advance the world of minimally invasive care.

Job Description

Position Overview:

The idea of surgical robotics was little more than a curiosity until 1999, the year Intuitive Surgical introduced the da Vinci® Surgical System.  Today, Intuitive Surgical is the global leader in the rapidly emerging field of robotic-assisted minimally invasive surgery.  Intuitive Surgical is also an industry leader in designing data capture from over 5,400 surgical robotics systems used by over 40,000 surgeons globally.

The Enterprise Analytics team powers data-driven decision making across all organizations at Intuitive.  As a data analyst on this team, you will shape your colleagues’ interactions with a wide range of data critical to their decision making.  You will also uncover insights that drive product and operational improvements.

For this role, you should have excellent analytical skills, excellent time-management and organizational habits, and the ability to communicate clearly and present information to stakeholders at all levels of the business.

Roles and Responsibilities:

We are looking for an experienced data scientist to join our growing global Enterprise Analytics team who will help derive insight and understanding from the wealth of data at our disposal through data visualization, building informative reports / dashboards, application of statistical methods, and deep investigation.  This role presents the opportunity to work with data across a wide variety of functions, from manufacturing to customer insights.  We are seeking an individual who has the vision and strategic thinking skills to help take analytics to the next level at Intuitive.

  • 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

Qualifications

Qualifications

Basic Qualifications

  • 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 Qualifications

  • 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)

Additional Information

Due to the nature of our business and the role, please note that Intuitive and/or your customer(s) may require that you show current proof of vaccination against certain diseases including COVID-19.  Details can vary by role.

Intuitive is an Equal Opportunity Employer. We provide equal employment opportunities to all qualified applicants and employees, and prohibit discrimination and harassment of any type, without regard to race, sex, pregnancy, sexual orientation, gender identity, national origin, color, age, religion, protected veteran or disability status, genetic information or any other status protected under federal, state, or local applicable laws.

Mandatory Notices

We will consider for employment qualified applicants with arrest and conviction records in accordance with fair chance laws.

Preference will be given to qualified candidates who do not reside, or plan to reside, in Alabama, Arkansas, Delaware, Florida, Indiana, Iowa, Louisiana, Maryland, Mississippi, Missouri, Oklahoma, Pennsylvania, South Carolina, or Tennessee.

We provide market-competitive compensation packages, inclusive of base pay, incentives, benefits, and equity. It would not be typical for someone to be hired at the top end of range for the role, as actual pay will be determined based on several factors, including experience, skills, and qualifications. The target salary ranges are listed.

Average salary estimate

$105000 / YEARLY (est.)
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$90000K
$120000K

If an employer mentions a salary or salary range on their job, we display it as an "Employer Estimate". If a job has no salary data, Rise displays an estimate if available.

What You Should Know About Data Scientist, Intuitive

At Intuitive, we are excited to welcome a Data Scientist to our passionate team in Sunnyvale, CA. With over 25 years of innovation in robotic-assisted surgery, you will play a significant role in transforming data into actionable insights that enhance surgical care worldwide. As a member of our Enterprise Analytics team, you will shape data-driven decision-making across the organization, providing critical insights that affect everything from manufacturing to customer experience. You'll be able to showcase your storytelling skills through data visualization, creating dashboards that highlight key performance indicators and helping to identify areas for improvement. Your expertise in SQL, data analysis, and visualization tools like Tableau will allow you to work closely with cross-functional teams, driving enhancements in our analytics capabilities. You will dig deep into data to uncover trends and correlations that inform strategic business decisions. This role is not just about analyzing data; it's about leveraging your curiosity and problem-solving skills to deliver compelling findings that contribute to our mission of advancing minimally invasive care. Intuitive offers a dynamic and inclusive work environment where you can bring your authentic self to work every day. If you're passionate about using data to make a difference and eager to contribute to a mission-driven organization, we’d love to hear from you! Come join us at Intuitive and be a part of our commitment to creating life-enhancing solutions for patients and the healthcare community.

Frequently Asked Questions (FAQs) for Data Scientist Role at Intuitive
What responsibilities does a Data Scientist at Intuitive have?

As a Data Scientist at Intuitive, you'll have a diverse range of responsibilities, including data visualization, building informative dashboards and reports, performing hypothesis testing, and collaborating with various stakeholders to enhance analytics capabilities. Your role will also involve identifying data quality gaps and continuously seeking ways to improve processes, driving data governance and delivering actionable insights that empower better decision-making across the organization.

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What qualifications are needed for the Data Scientist role at Intuitive?

To qualify for the Data Scientist position at Intuitive, candidates should possess at least 2 years of experience in a data-related role, with a Bachelor’s or Master’s degree in a quantitative field like Business, Statistics, or Engineering. Proficiency in data visualization tools such as Tableau, strong SQL skills, and experience with machine learning techniques are preferred. Additionally, a passion for data and an analytical mindset will set you apart.

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How does a Data Scientist at Intuitive contribute to business decisions?

At Intuitive, a Data Scientist plays a critical role in influencing business decisions by transforming complex data into clear, actionable insights. This involves continuous analysis of data to identify trends, creating visual data storytelling to inform executives on key metrics, and working closely with cross-functional teams to optimize operations and strategies. Your insights will directly aid in decision-making processes at all organizational levels.

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What tools and technologies does a Data Scientist at Intuitive work with?

As a Data Scientist at Intuitive, you'll work with a range of cutting-edge tools and technologies, including data visualization software like Tableau, programming languages like Python and R for data analysis, and SQL for database management. Familiarity with cloud analytics platforms such as MS Azure or AWS is also advantageous, as you'll leverage these technologies to manage and analyze vast amounts of data effectively.

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What is the work culture like for a Data Scientist at Intuitive?

The work culture at Intuitive for a Data Scientist is collaborative, inclusive, and innovative. Employees are encouraged to share diverse perspectives and ideas, fostering an environment where creativity thrives. The organization values integrity, respect, and personal accountability, making it a great place for individuals passionate about making meaningful contributions to healthcare through data.

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Common Interview Questions for Data Scientist
Can you describe a project where you used data visualization to drive business decisions?

In your answer, focus on a specific project where you utilized data visualization effectively. Outline your approach in gathering data, the tools you used, and how the resulting visualizations helped stakeholders understand insights that led to actionable business decisions. Highlight the impact of this project on the organization.

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What statistical methods do you find most useful in your analysis?

Explain which statistical methods you've applied in your previous roles, such as regression analysis, A/B testing, or clustering. Discuss a scenario where a specific method provided you with significant insights, and how this approach benefited the overall project.

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How do you ensure the accuracy of your data analysis?

Discuss your data validation processes, including methods like cross-referencing with other data sources, running checks for inconsistencies, and how you handle data cleaning. Emphasize the importance of data accuracy in drawing reliable conclusions.

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How would you approach defining and designing KPIs for a project?

Share your process of understanding the project's objectives, stakeholder requirements, and the types of data available. Describe how you would work collaboratively with the team to identify relevant KPIs that align with business goals, and ensure they provide actionable insights.

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What role does stakeholder communication play in your data analysis?

Emphasize the importance of communication in ensuring that your analyses are aligned with stakeholder needs. Provide examples of how you've presented complex data in an understandable format to non-technical team members and how you gathered feedback to refine your analyses.

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Describe your experience with SQL and how you use it in your projects.

Outline your proficiency in SQL, providing examples of complex queries you've written or how you've used it to extract and analyze data from large databases. Discuss how SQL skills have helped you in enhancing the quality of your analyses and reporting.

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How do you stay updated with advancements in data science?

Share your methods for keeping abreast of industry trends, such as following relevant publications, participating in online courses, or attending conferences. Highlight any recent learning experiences that helped you enhance your skills in data science.

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Can you explain a time when you faced a challenge during a data project and how you overcame it?

Narrate a specific challenge you encountered, detail the steps you took to address it, and describe the outcome. This will demonstrate your problem-solving skills and resilience in the data analysis process.

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What techniques do you use to visualize complex data sets?

Talk about the tools you use and specific techniques such as heat maps, scatter plots, or dashboards. Explain your thought process in choosing visualizations and how they helped communicate insights effectively to the intended audience.

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What is your understanding of data governance, and why is it important?

Discuss the principles of data governance, including data quality, privacy, and compliance. Explain its significance in ensuring reliable analysis andhow it affects strategic decision-making in organizations like Intuitive.

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Founded in 1995, Intuitive Surgical, Inc develops, manufactures and markets robotic technologies designed to improve clinical outcomes and help patients return more quickly to active and productive lives. The company is headquartered in Sunnyvale,...

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DATE POSTED
April 10, 2025

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