Staff Data Scientist

June 25

🏈 Alabama – Remote

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

🌵 Arizona – Remote

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

+21 more states

🏈 Alabama – Remote 🌵 Arizona – Remote 🏄 California – Remote ⛰️ Colorado – Remote 🐊 Florida – Remote 🌽 Illinois – Remote 🐎 Kentucky – Remote 🎰 Nevada – Remote 🗻 New Hampshire – Remote 🗽 New York – Remote 🌲 North Carolina – Remote 🏈 Ohio – Remote 🌲 Oregon – Remote 🦀 Maryland – Remote 🍂 Massachusetts – Remote 🚗 Michigan – Remote ❄️ Minnesota – Remote 🔔 Pennsylvania – Remote 🌴 South Carolina – Remote 🎸 Tennessee – Remote 🤠 Texas – Remote ⚔️ Virginia – Remote 🧀 Wisconsin – Remote

💵 $158.5k - $251.5k / year

⏰ Full Time

🔴 Lead

📊 Data Scientist

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Platform Science

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Transport • SaaS • Enterprise

Platform Science is a technology company providing innovative fleet management solutions for the transportation industry. The company offers a comprehensive platform that integrates various driver applications and back-office tools to enhance productivity, safety, and compliance for enterprise fleets. Their solutions include navigation, compliance and driver safety tools, as well as analytics and data management services. Platform Science's marketplace allows for integration with a wide array of partner solutions, offering flexibility in fleet management. It is trusted by leading enterprise fleets for streamlining operations and improving driver and vehicle performance.

201 - 500 employees

Founded 2015

🚗 Transport

☁️ SaaS

🏢 Enterprise

📋 Description

• Who We Are • At Platform Science, we’re working to connect everything that moves. • Founded in 2015, we are an open IoT platform that partners with innovative fleets, application developers, vehicle manufacturers, and equipment providers in the transportation industry to deliver revolutionary solutions to supply chain professionals across the globe. • Our employees are an engaging, diverse group of people who believe in the power of great ideas. We hire people with different experiences and perspectives to build a company culture that fuels growth through innovation. • We value thoughtful actions and empathy for others. We approach challenges with resiliency and creativity, while encouraging transparency because, no matter our backgrounds or responsibilities, we are one team. • About the Role • We are looking for a Staff Data Scientist to help us process large amounts of raw data into strategic insights for consumption by our Product, Engineering, and Leadership teams. • In this role you will lead the evaluation, design, and implementation of machine learning models and statistical analyses to support key business objectives. • As a Staff Data Scientist, you will play a critical role in driving data-driven decision making at Platform Science and shaping the future of the company’s data science and machine learning capabilities.

🎯 Requirements

• 7+ years of experience in a data science or machine learning role • 3+ years experience in mentorship or leadership roles, with the proven ability to provide guidance and support as a subject matter expert to other data team members and stakeholders • Demonstrated experience leading ML initiatives from conception through production across multiple business domains • Proven track record of designing, building, deploying, and maintaining production-grade machine learning systems using modern MLOps practices • Deep understanding of machine learning libraries (scikit-learn, TensorFlow, etc.) and algorithms • Strong foundation in statistics and applied statistical analysis, including A/B testing, hypothesis testing, Bayesian inference, time series modeling, and multivariate methods • Proficient in Python and SQL, with extensive experience manipulating large datasets and developing performant data pipelines • Experience with machine learning platforms/services such as SageMaker, Bedrock, Gemini, Vertex, Azure Machine Learning, Databricks etc. • Demonstrated ability to transform ambiguous business problems into actionable ML solutions; comfortable operating in high-uncertainty environments • Experience defining technical standards for experimentation, monitoring, and model performance in production environments • Ability to manage and prioritize projects, balancing short-term needs with long-term strategic goals • Strong communication skills, with the ability to clearly articulate complex technical concepts to technical and non-technical audiences • Experience with data visualization and BI tools such as Looker, Tableau, or equivalent • BS in Data Science, Statistics, Mathematics, Economics, Computer Science, Information Management or equivalent experience

🏖️ Benefits

• Medical, dental, and vision insurance • Short-term and long-term disability insurances • AD&D and life insurance • 401k plan • Paid vacation, sick leave and holidays • Six weeks of paid parental leave