EquipmentShare is Hiring a Data Scientist 

EquipmentShare is searching for a Data Scientist to join our team, focusing on fleet optimization for our rental company. This position is fully remote and ideal for candidates with expertise in operations research (OR) techniques and skills.

Salary range: $120k-$170k. Factors including past experience and location may affect final compensation rate. 

Primary 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. Why We’re a Better Place to Work 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 About You 

Our mission to revolutionize an entire industry is ambitious, so we seek individuals who are inspired by our goals and up for the challenge. In return, our team members have every opportunity to grow with us, achieve personal and professional success, and make a tangible difference in a historically resistant industry. We are looking for someone with the ownership to take on hard problems, be a self-starter, and take advantage of a broad and deep opportunity space. 

Skills & Qualifications 

Minimum Qualifications: 

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. (We are not sponsoring candidates at this time.)

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.

EquipmentShare is committed to a diverse and inclusive workplace. EquipmentShare is an equal opportunity employer and does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status.