Shippo

We help eCommerce merchants grow by empowering them with the #1 shipping solution tool needed to save time and money.

Senior Data Scientist

Data ScientistData ScientistFull TimeRemoteTeam 201-500Since 2013Company SiteLinkedIn

Location

Hawaii + 6 moreAll locations: Hawaii, Nevada, New Mexico, Ohio, Oregon, Virginia, West Virginia

Posted

17 days ago

Salary

$156K - $212K / year

Postgraduate Degree6 yrs expEnglishPythonSparkSQL

Job Description

• As a Senior Data Scientist, you will be a strategic leader in driving our data product strategy and establishing best practices across the organization. • You will leverage deep analytical expertise and technical leadership to transform complex business challenges into innovative, scalable data solutions. • You will lead the discovery and development of high-impact data products, working closely with Product, Engineering, and Business leadership to define roadmaps and drive company-wide initiatives. • Your strategic thinking and mentorship will elevate the capabilities of partner teams and shape the direction of our data science practice. • You excel at navigating ambiguity and complexity, defining strategic priorities, and leading projects that span multiple teams and business areas. • Your proven ability to independently architect solutions, influence stakeholders at all levels, and deliver measurable business impact will be critical to your success. • As a senior member of the team, you will mentor junior data scientists and contribute to building a world-class data science culture. • Own the end-to-end research process, from hypothesis generation to implementation roadmap, and effectively communicate strategic recommendations to leadership.

Job Requirements

  • 6+ years of experience in data science, analytics, or related roles with demonstrated progression of responsibility and impact.
  • Master's degree or PhD in Data Science, Statistics, Computer Science, Engineering, or related quantitative field preferred.
  • A bachelor's degree with exceptional experience will be considered.
  • Advanced proficiency in Python for data analysis, machine learning, and statistical modeling.
  • Strong proficiency in SQL for querying and manipulating large datasets.
  • Demonstrated experience translating ambiguous business challenges into structured analytical frameworks and actionable solutions.
  • Track record translating analysis into shipped product development, operational workflows, or data science initiatives.
  • Strategic thinking and ability to balance short-term deliverables with long-term vision.
  • Practical application of data wrangling, data cleaning, and exploratory data analysis (EDA).
  • Understanding of statistical methods and machine learning techniques to extract deeper insights from data.
  • Willingness to take on a wide range of tasks, big or small, stepping in wherever needed drive business success.
  • Strong problem-solving skills and the ability to work both independently and collaboratively.
  • Excellent communication skills—able to present findings to technical and non-technical audiences.
  • Experience with Databricks and lakehouse patterns (e.g., Spark, MLflow).
  • Experience in shipping logistics or carrier operations.
  • Experience setting team-wide standards (metrics governance, experimentation playbooks, model readiness criteria).

Benefits

  • Healthcare coverage for medical, dental, and vision (90% covered by the company, incl. dependents).
  • Pets coverage is also available!
  • Take-as-much-as-you-need vacation policy & flexible working hours
  • One week-long company wide winter slow down
  • 3 Volunteer Days Off (VTOs)
  • WFH stipend to set up your home office
  • Charity donation match up to $100
  • Dedicated programs, coaching, tools, and resources for your professional and career growth as well as an individual learning stipend for your personal and focused growth
  • Fun team in person time through our Shippos Everywhere program which includes regular team and company off-sites throughout the year as well as local Shippos gatherings.

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