Staff Data Scientist at ShipBob, Inc.

At ShipBob, we are building a cloud-based logistics platform that empowers thousands of e-commerce businesses to achieve their goals. We are a fast-growing team backed by major investors, and we are dedicated to providing the best fulfillment technology in the industry. We believe in fostering a transparent, inclusive culture where every team member has the opportunity to grow, solve complex global commerce problems, and make a real impact. If you are a mission-driven professional who values resilience and creative problem-solving, we would love for you to join us.

About the Role

We are looking for a Staff Data Scientist to join our team on a full-time basis. In this role, you will be responsible for exploring and analyzing data across all areas of our business, including logistics, supply-chain operations, marketing, sales, and customer support. You will play a key part in shaping our future by turning data into actionable insights and innovative product features.

Key Responsibilities

• Identify high-impact business opportunities through data exploration, project bootstrapping, and the creation of model prototypes.
• Lead the hands-on development, deployment, and operation of machine learning models and pipelines at scale, handling both real-time and batch data.
• Collaborate with product management and engineering teams to build next-generation features while mentoring engineers on best practices, coding standards, and technical documentation.

Requirements

• At least 6 years of industry experience in roles such as data scientist, machine learning engineer, or technical lead.
• A proven track record of designing, prototyping, and launching data science products that solve real business challenges.
• Deep expertise in the machine learning lifecycle, including algorithms for anomaly detection, natural language processing, computer vision, and recommendation systems.
• Strong proficiency in Python and a solid understanding of software engineering principles, including testing, code reviews, and deployment.
• Fundamental knowledge of data engineering practices, such as building data pipelines and managing data storage.
• Excellent communication skills with the ability to explain technical concepts to various stakeholders.

Location

This is a remote position available to candidates living in AZ, CA, CO, FL, GA, KS, KY, IA, ID, IL, IN, MA, ME, MI, MN, MO, NC, NH, NJ, NV, NY, OH, OR, PA, RI, SC, SD, TN, TX, UT, VA, VT, WA, or WI.

Compensation and Benefits

The expected base pay range for this position is $163,000 - $271,000 USD. In addition to a competitive salary, we offer performance bonuses and equity compensation. Our benefits package includes:

• Medical, dental, vision, and life insurance.
• 401k matching.
• Paid maternity and paternity leave.
• Flexible time off, paid sick leave, floating holidays, and quarterly wellness days.
• A supportive remote work environment with flexible hours.