Senior Data Scientist

IntuitivePeachtree Corners, GA
$152,000 - $257,200Onsite

About The Position

We are looking for a senior-level Data Scientist to lead complex data science and analytics initiatives supporting Global Operations. Minimizing supply chain risk and optimizing manufacturing operations are critical to enabling surgeons and healthcare institutions to deliver better patient outcomes. This role reflects a seasoned, fully qualified data science professional with wide-ranging experience. The Data Scientist 4 applies professional concepts and company objectives to resolve complex issues in creative and effective ways, operating with a high degree of independence. This role is expected to represent the data science function with senior stakeholders and contribute durable analytical solutions that influence operational and strategic decisions.

Requirements

  • Extensive experience developing data science solutions using the R and or Python programming ecosystem
  • Strong expertise in SQL, including complex queries across large, multi-table datasets
  • Advanced knowledge of statistical methods, predictive modeling, and machine learning techniques
  • Experience with programatic usage of LLM technologies for problem solving
  • Proven ability to resolve complex analytical problems requiring in-depth evaluation of variable factors
  • Experience building and maintaining production-grade analytics, reports, dashboards, or applications
  • Demonstrated ability to independently lead work, set priorities, and drive results with limited supervision
  • Strong judgment in selecting appropriate analytical methods, techniques, and evaluation criteria
  • Excellent communication skills, with the ability to distill complexity and tailor messaging to different audiences
  • Minimum Quantitative Bachelor’s degree (Statistics, Computer Science, Math, Data Science or Similar) or equivalent professional experience
  • Typically requires a minimum of 8 years of related experience with a University degree; or 6 years of experience and a Master’s degree; or a PhD with 3 years of experience; or equivalent professional experience.

Nice To Haves

  • Quantitative Advanced degree (Statistics, Computer Science, Math, Data Science or Similar)
  • Experience with Posit platforms, including Workbench and Connect
  • Experience designing analytics with governance, access controls, and long-term maintainability in mind
  • Experience with Git-based workflows, code review, and collaborative development
  • Experience with CI/CD concepts applied to analytics and data science
  • Demonstrated mentorship or technical leadership experience
  • Domain experience in manufacturing, supply chain, planning, logistics or operations analytics

Responsibilities

  • Lead complex, high-impact data science initiatives across Global Operations with minimal supervision
  • Independently frame ambiguous business problems and define appropriate analytical approaches
  • Apply advanced statistical, predictive, and machine learning techniques to enterprise data to generate actionable insights
  • Design, develop, and maintain production-quality analytics, models, dashboards, and data products primarily using the R ecosystem
  • Work extensively with Snowflake to source, transform, and analyze large and complex datasets using advanced SQL
  • Develop scalable and maintainable analytics solutions leveraging Posit platforms and deployment tooling
  • Ensure solutions are reproducible, well-documented, and designed for long-term value rather than one-off analysis
  • Present insights, implications, and recommendations to senior management and cross-functional leadership
  • Independently assess complex situations, evaluate variable factors, and determine appropriate paths forward
  • Identify opportunities to apply advanced analytics and Gen AI techniques where they provide measurable business value
  • Look for opportunities to apply cutting edge technologies such as Agentic AI solutions
  • Mentor and provide technical guidance to less experienced Data Scientists and Analysts
  • Represent the data science function on cross-functional initiatives and influence decisions through expertise

Benefits

  • Market-competitive compensation packages, inclusive of base pay, incentives, benefits, and equity.
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