Data Scientist

Summary

Join EquipmentShare as a Data Scientist and contribute to fleet optimization projects using advanced operations research, machine learning, and statistical techniques. This fully remote position offers a competitive salary and benefits package. You will lead projects, design models, collaborate with cross-functional teams, and present actionable insights. The ideal candidate possesses a graduate degree or equivalent experience in a related field, along with 2+ years of professional experience in a data-driven role. EquipmentShare values a diverse and inclusive workplace.

Requirements

• Graduate degree or equivalent practical experience in operations research, statistics, computer science, machine learning, or a related field
• 2+ years of professional experience in a data-driven role, such as data scientist, operations research analyst, ML engineer, or research scientist
• Demonstrated proficiency in operations research techniques, including optimization, simulation, and decision analysis
• Strong understanding of modern product development techniques and methodologies
• Excellent cross-functional communication skills with the ability to collaborate effectively across teams
• Must be qualified for work in the United States or the United Kingdom

Responsibilities

• Lead and contribute to ongoing projects leveraging advanced operations research methods, machine learning (ML), and statistical techniques in a full-stack data science environment
• Design, implement, and optimize decision-making models to improve fleet operations and logistics
• Collaborate with cross-functional teams to identify high-value opportunities for data science applications within a massive greenfield space
• Develop actionable insights and solutions, presenting results to stakeholders and measuring business impact through experimentation and rigorous analysis
• Stay up to date with the latest trends in operations research and data science, applying innovative methods to solve complex business problems

Preferred Qualifications

• Hands-on experience with tools and frameworks for optimization (e.g., Gurobi, CPLEX, or Pyomo) and data science (e.g., Python, R, or SQL)
• Familiarity with cloud platforms such as AWS, Azure, or Google Cloud for deploying data-driven solutions
• Experience working in logistics, supply chain management, or fleet operations
• Proven track record of delivering measurable business outcomes through data science initiatives

Benefits

• Competitive compensation packages
• 401 (k) and company match
• Health insurance and medical coverage benefits
• Unlimited paid time off
• Generous paid parental leave
• Volunteering and local charity initiatives that help you nurture and grow the communities you call home
• Stocked breakroom and full kitchen (corporate HQ)
• State of the art onsite gym (corporate HQ)/Gym stipend for remote employees
• Opportunities for career and professional development with conferences, events, seminars, continued education