Senior Applied Data Scientist

February 5

🌵 Arizona – Remote

Although this job is listed in Arizona, this company may be open to hiring remote in other states.

🏄 California – Remote

Although this job is listed in California, this company may be open to hiring remote in other states.

+21 more states

🌵 Arizona – Remote 🏄 California – Remote ⛰️ Colorado – Remote 🦌 Connecticut – Remote 🐊 Florida – Remote 🥔 Idaho – Remote 🌽 Illinois – Remote 🦬 Montana – Remote 🗽 New York – Remote 🌲 North Carolina – Remote 🏈 Ohio – Remote 🌲 Oregon – Remote 🦀 Maryland – Remote 🍂 Massachusetts – Remote 🚗 Michigan – Remote 🏰 Missouri – Remote 🌴 South Carolina – Remote 🎸 Tennessee – Remote 🤠 Texas – Remote 🍁 Vermont – Remote ☕ Washington – Remote 🧀 Wisconsin – Remote

💵 $165k - $175k / year

⏰ Full Time

🟠 Senior

📊 Data Scientist

🦅 H1B Visa Sponsor

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Shipium

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Shipium is a cutting-edge platform designed to coordinate and control shipping operations, enhancing supply chain efficiency with the power of machine learning and AI. Through its Console, Universal Rules Engine, and Pre-Integrated Carrier Network, Shipium offers businesses the tools to optimize shipping decisions, fulfill orders effectively, and provide accurate delivery promises. The platform serves various industries, streamlining operations for retailers, logistics service providers, and B2B businesses by integrating with existing supply chain systems to maximize visibility and control.

retail • ecommerce • shipping • logistics • technolgoy

51 - 200 employees

Founded 2019

🤝 B2B

🛍️ eCommerce

💰 $27.5M Series A on 2022-04

📋 Description

• Join our dynamic team at Shipium, tackling complex problems in eCommerce fulfillment and supply chain optimization • Leverage cutting-edge machine learning and data science techniques to deliver impactful business outcomes and enhance customer experiences • Own the end-to-end process of developing machine learning models and delivering data-driven solutions, from initial concept to deployment

🎯 Requirements

• 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 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

🏖️ Benefits

• Full medical, dental & vision coverage (with 50% coverage for dependents) • Optional life insurance and long-term disability coverage • 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 • Volunteer time off