[Remote] Senior Data Scientist
Note: The job is a remote job and is open to candidates in USA. Shippo is a company focused on becoming the shipping layer of the internet, aiming to empower merchants through advanced logistics technology. As a Senior Data Scientist, you will lead data product strategy, develop innovative data solutions, and mentor junior data scientists while collaborating with various teams to drive impactful initiatives.
Responsibilities
- Lead comprehensive analyses of shipping data to identify and prioritize high-value opportunities for new product features and strategic initiatives
- Drive deep investigations into carrier performance, delivery optimization, cost reduction strategies, and user behavior patterns to shape product strategy
- Design and execute sophisticated analytical frameworks to assess market opportunities, competitive positioning, and product-market fit
- Own the end-to-end research process, from hypothesis generation to implementation roadmap, and effectively communicate strategic recommendations to leadership
- Develop advanced machine learning prototypes and proof-of-concepts that validate new features and establish technical feasibility, such as intelligent routing algorithms, dynamic pricing models, or predictive analytics capabilities
- Create well-documented, production-ready code and models that can be seamlessly handed off to engineering teams for scaling and deployment
- Design A/B testing and other experimental frameworks by applying inferential statistical techniques to measure the impact of product changes
- Interpret results with statistical rigor, ensuring confidence in findings
- Provide recommendations based on insights, helping stakeholders make informed decisions on product optimizations and new initiatives
- Provide technical guidance and mentorship to junior and mid-level data scientists, fostering their professional growth and analytical capabilities
- Lead cross-functional initiatives that require coordination across Data Science, Engineering, Product, and Business teams
- Contribute to the development of data science best practices, tools, and frameworks that enhance team productivity and impact
- Champion data-driven culture and literacy across the organization through training, knowledge sharing, and stakeholder engagement
- Communicate complex technical concepts to diverse audiences, adapting your message for both technical and executive stakeholders
- Drive alignment across multiple teams and departments on analytical approaches, success metrics, and strategic priorities
- Represent the data science team in strategic planning sessions and contribute to company-wide initiatives and objectives
Skills
- 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
Company Overview
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