Intuitive

Senior Data Scientist

Full-time · Sunnyvale, CA
✓ Verified live on the employer's own system · added 88 days ago
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Mid-level · 5+ yrs exp

Requirements

Education: Master's degree or related field

Experience: 5+ years

Skills & tools

Data AnalysisManagementProgrammingCode ReviewPythonSQLSnowflakeDatabricks
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Full job description

The Ion endoluminal system is Intuitive's robotic platform for minimally invasive biopsy in the

peripheral lung, with an initial goal of improving the early diagnosis of lung cancer. Ion's Data

team is responsible for developing analytical tools that generate insights and drive decision

making for internal and external stakeholders. The successful candidate in this role will be a

contributor to a high-performing data science team to develop data models, analytics, and related

Essential Job Duties (Specific responsibilities and tasks an individual would be expected to

perform in the role. Additional job duties may be determined by functional people manager) - Collaborate with cross-functional teams and business units to understand and

communicate Ion's needs and goals. - Develop, improve, and maintain robust data models for transforming data from log files

and event streams. - Ensure that our data models support our analytics and reporting objectives. - Design predictive models and algorithms to derive insights and metrics from large

datasets - Contribute to technical requirements definition, prototyping,

development, testing, and release. - Communicate findings to stakeholders through

visualizations, dashboards, reports, and presentations. - Champion best practices in software development, including

code reviews, coding conventions, testing frameworks, and design patterns. - Assess and recommend new tools and technologies that make the data team more

Required Skills and Experience (Specific skills, knowledge, and experience that an individual

must possess in order to successfully perform in job) - Experience in working with production-level data pipelines. - Experience in building data models to support analytics, including metrics and KPIs. - Strong proficiency in Python, SQL, and related languages. - Experience in using AI tools to accelerate software development and data analysis. - Experience with platforms such as Snowflake, Databricks, and dbt. - Solid understanding of statistical modeling, machine learning algorithms, and data

visualization techniques. - Excellent problem-solving skills and a collaborative mindset. - Excellent communication and presentation skills, with the ability to explain complex

Required Education and Training (As applicable - Specific education and training that an

individual must possess in order to successfully perform in job) - Master's or PhD degree in computer science or related field. - Minimum of 5 years relevant work experience in data science.

Working Conditions (As applicable - Any physical requirements for

Preferred Skills and Experience (As applicable - Specific skills, knowledge, and experience that

are not required to perform the job, but are desirable to have) - Experience working in medical devices or other regulated industries.

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 compensation ranges are listed.

Required Skills and Experience (Specific skills, knowledge, and experience that an individual

must possess in order to successfully perform in job)

  • Experience in working with production-level data pipelines.
  • Experience in building data models to support analytics, including metrics and KPIs.
  • Strong proficiency in Python, SQL, and related languages.
  • Experience in using AI tools to accelerate software development and data analysis.
  • Experience with platforms such as Snowflake, Databricks, and dbt.
  • Solid understanding of statistical modeling, machine learning algorithms, and data

visualization techniques.

  • Excellent problem-solving skills and a collaborative mindset.
  • Excellent communication and presentation skills, with the ability to explain complex

Required Education and Training (As applicable

  • Specific education and training that an

individual must possess in order to successfully perform in job)

  • Master's or PhD degree in computer science or related field.
  • Minimum of 5 years relevant work experience in data science.
Working Conditions (As applicable • Any physical requirements for

Preferred Skills and Experience (As applicable

  • Specific skills, knowledge, and experience that

are not required to perform the job, but are desirable to have)

  • Experience working in medical devices or other regulated industries. Primary Function of Position

The Ion endoluminal system is Intuitive's robotic platform for minimally invasive biopsy in the

peripheral lung, with an initial goal of improving the early diagnosis of lung cancer. Ion’s Data

team is responsible for developing analytical tools that generate insights and drive decision

making for internal and external stakeholders. The successful candidate in this role will be a

contributor to a high-performing data science team to develop data models, analytics, and related

Essential Job Duties (Specific responsibilities and tasks an individual would be expected to

perform in the role. Additional job duties may be determined by functional people manager)

  • Collaborate with cross-functional teams and business units to understand and

communicate Ion’s needs and goals.

  • Develop, improve, and maintain robust data models for transforming data from log files

and event streams.

  • Ensure that our data models support our analytics and reporting objectives.
  • Design predictive models and algorithms to derive insights and metrics from large

datasets

  • Contribute to technical requirements definition, prototyping,

development, testing, and release.

  • Communicate findings to stakeholders through

visualizations, dashboards, reports, and presentations.

  • Champion best practices in software development, including

code reviews, coding conventions, testing frameworks, and design patterns.

  • Assess and recommend new tools and technologies that make the data team more

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