Sr Machine Learning Data Scientist

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. About the role: Join our dynamic team at Shipium, where we tackle some of the most complex problems in eCommerce fulfillment and supply chain optimization. We're committed to leveraging cutting-edge machine learning and data science techniques to deliver impactful business outcomes and enhance customer experiences. What you'll do: We are seeking a highly skilled Machine Learning Data Scientist to drive innovation and solve real-world challenges. In this role, you'll own the end-to-end process of developing machine learning models and delivering data-driven solutions, from initial concept to deployment. Key Responsibilities Include: Building and deploying predictive models (regression, classification) and optimization solutions for eCommerce and supply chain domains. Designing and managing machine learning pipelines, including data preparation, feature engineering, and model deployment. Conducting exploratory data analysis to uncover insights and opportunities in high-dimensional datasets. Applying advanced machine learning and statistical techniques to develop scalable, production-ready solutions. Experimenting and iterating to optimize model performance, scalability, and generalizability. Collaborating with product engineers to implement and integrate solutions into existing systems. Mentoring junior team members and driving best practices in machine learning and data science. Qualifications: Master's or PhD in Computer Science, Data Science, Mathematics, Statistics, or a related quantitative field. 4+ years of experience developing machine learning models, or equivalent expertise gained through education and practice. Strong proficiency in Python, C/C++, or Java, and familiarity with libraries such as NumPy, SciPy, and scikit-learn. Experience with big data processing frameworks like Apache Spark or Dask. Must be well-advanced in SQL and NoSQL databases. Hands-on experience with AWS services, including SageMaker, S3, and EC2. A track record of architecting scalable solutions and managing end-to-end ML pipelines. Strong analytical skills, with the ability to navigate ambiguous challenges and deliver actionable insights. Exceptional teamwork, communication, and problem-solving skills. 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 25 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 ( ) 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, Connecticut, District of Columbia, Florida, Georgia, Idaho, Illinois, Indiana, Maryland, Massachusetts, Michigan, Montana, Missouri, New York, North Carolina, Ohio, Oregon, South Carolina, Tennessee, Texas, Vermont, Washington & Wisconsin. Shipium participates in e-verify. We do not provide sponsorship either now or in the future. #J-18808-Ljbffr

Created: 2025-02-01