About Shipium

Shipium is on a mission to solve the ‘Prime problem’ that modern retailers face today—how to make fast, free, and on-time delivery promises a cornerstone of the customer’s shopping experience. We work with both fast-growing companies and well known large retailers to cut costs, speed deliveries, and increase flexibility through great APIs, easy integrations into existing infrastructure, and powerful services optimizing the full retail supply chain.

We’re building tech that connects previously fragmented systems and automates complex supply chain decisions to deliver speed and value across operations.

Founded in 2019 by supply chain technology experts from Amazon and Zulily, the company is on a mission to help every eCommerce company provide its customers a great delivery experience while simultaneously reducing their costs to fulfill orders.

Job Title: Machine Learning Data Scientist

Description:

Are you interested in building the next-generation services that will solve complex business problems in the eCommerce fulfillment and supply chain space? We are disrupting the space to provide easy access to fast, economical shipping and delivery experiences to companies big and small and looking for a talented Applied Scientist to design and build a new product from the ground up.

We are looking for an Applied scientist with 3 years of solid experience in solving complex problems using machine learning and data science. As an Applied Scientist, you will help solve a variety of technical challenges. Given that this is an early-stage initiative, you will play an active role in translating business and functional requirements into concrete deliverables and building quick prototypes or proofs of concept in partnership with other technology leaders within the team. You will be building machine learning models for a diverse set of eCommerce fulfillment and supply chain-related prediction, classification, and operational problems. You will drive building algorithms for an exciting new space that is just getting started. You will have the opportunity to work with scalable model development tools using SageMaker and other AWS services. Along the way, we guarantee that you’ll learn a ton, have fun, and make a positive impact.

Experience:

● MS in Computer Science, strong knowledge of machine learning, and 3 years of relevant experience in the industry and/or academia OR Ph.D. in Computer Science, Mathematics, Statistics, or a related quantitative field and strong knowledge of machine learning.

● 3 years of experience using a broad set of supervised and unsupervised ML approaches and techniques. Proven track record of successfully applying ML-based solutions to complex problems in business, science, or engineering.

● Ability to develop practical solutions to complex problems

● Strong communication and collaboration skills

● ML data management (collect, store, manage data), creating training datasets (data labeling, feature engineering, data partitioning, sampling, and slicing), building and training machine learning models, and familiarity with architectural choices for ML systems.

● Prior experience with using or maintaining a NoSQL database (e.g. MongoDB) is a plus.

● Prior programming experience and expertise in Python (and basic ML libraries such as NumPy, and SciPy) and a distributed computing framework (e.g. Spark) is a plus.

● Proficiency in Python, C/C , and/or java

● Everyone on the team needs to be entrepreneurial, wear many hats, and work in a highly collaborative environment in a fast-paced startup.

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At Shipium, Employees enjoy full medical, dental & vision coverage (with 50% coverage for dependents), optional life insurance and long-term disability coverage, a 401(k) retirement plan, fully remote work-from-home options in 21* states, 8 paid weeks of parental leave, 12 paid holidays annually, self-managed vacation time, sick & safety leave, and volunteer time off.

Shipium is committed to creating a diverse environment and is proud to be an equal opportunity employer. Women, people of color, people with disabilities, and veterans are strongly encouraged to apply. We prohibit discrimination and harassment of any kind based on race, color, sex, religion, sexual orientation, national origin, disability, genetic information, pregnancy, or any other protected characteristic as outlined by federal, state, or local laws. If you need reasonable accommodation because of a disability for any part of the employment process, please email Human Resources (hr@shipium.com) and let us know the nature of your request and your contact information.

This applies to all employment practices within our organization, including hiring, recruiting, promotion, termination, layoff, recall, leave of absence, compensation, benefits, training, and mentorships. Shipium makes hiring decisions based solely on qualifications, merit, and business.

*Although based out of Seattle, WA, Shipium is 100% remote in the following states: Arizona, California, Colorado, District of Columbia, Florida, Georgia, Idaho, Illinois, Indiana, Maryland, Michigan, Montana, New Jersey, New York, North Carolina, Ohio, Oregon, Pennsylvania, South Carolina, Texas, Washington & Wisconsin.

Shipium participates in E-Verify

We do not provide any type of sponsorship either now or in the future. Only those with Green Cards, US Citizens, or Permanent Residents are eligible. 

We do not transfer work visas or hire out of the US or C2C