Senior Data Scientist

Role Overview

• 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.

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).

Tech Stack

• Python
• Spark
• SQL

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.