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 fullstack data science environment.
- Design implement and optimize decisionmaking models to improve fleet operations and logistics.
- Collaborate with crossfunctional teams to identify highvalue 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 Were 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 selfstarter 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 datadriven 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 crossfunctional 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:
- Handson 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 datadriven 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.