EquipmentShare
Sr. Data Scientist (Operations Research)
EquipmentShare, Chicago, Illinois, United States, 60290
EquipmentShare is Hiring a Data Scientist (Operations Research).
EquipmentShare is searching for a Sr Data Scientist specializing in Operations Research (OR) to join our team. This position is fully remote.
Primary Responsibilities
Despite having been fundamentally altered by earlier industrial revolutions, the construction industry has hardly budged with the computer revolution. In fact, since 1970, labor productivity in the US construction industry has actually declined, despite it more than doubling in the rest of the economy. This has contributed to housing shortages and the parlous state of infrastructure in some places, and is sanding the gears of carbon reduction efforts.
We think the industry is ripe for change, and we’re pushing the leading edge of that change with our next generation T3 Platform, the OS for Construction. Through T3, we help contractors to coordinate humans and (increasingly smarter) machines to build more effectively.
As a Sr Data Scientist specialized in OR in our small and quickly growing team, you will play a major role in this effort. In particular, you will
Create and enhance fleet management practices across the company through analytical
techniques
Develop, from scratch, simulation experiments that lead to implemented optimization
algorithms to solve our complex supply chain problems
Assist in identifying key KPIs and metrics to measure our company’s supply chain
effectiveness
Help to identify the highest value next opportunities for OR within a big greenfield space,
work cross-functionally to plan and build, and measure your significant business impact
via experimentation
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 change an entire industry is not easily achieved, so we only hire people who are inspired by the goal and up for the challenge. In turn, our employees have every opportunity to grow with us, achieve personal and professional success and enjoy making a tangible difference in an industry that’s long been resistant to change.
Skills & Qualifications
Minimum Qualifications:
Graduate degree or equivalent practical experience in statistics, computer science,
applied math, operations research or related field
4+ years working on technology-powered products and projects within the OR, supply
chain optimization, or data science roles
Demonstrated understanding of the techniques and methods of modern algorithm
development
Strong cross-functional communication skills
Must be qualified to work in the United States - we are not sponsoring any candidates at
this time
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.
#LI-Remote
EquipmentShare is searching for a Sr Data Scientist specializing in Operations Research (OR) to join our team. This position is fully remote.
Primary Responsibilities
Despite having been fundamentally altered by earlier industrial revolutions, the construction industry has hardly budged with the computer revolution. In fact, since 1970, labor productivity in the US construction industry has actually declined, despite it more than doubling in the rest of the economy. This has contributed to housing shortages and the parlous state of infrastructure in some places, and is sanding the gears of carbon reduction efforts.
We think the industry is ripe for change, and we’re pushing the leading edge of that change with our next generation T3 Platform, the OS for Construction. Through T3, we help contractors to coordinate humans and (increasingly smarter) machines to build more effectively.
As a Sr Data Scientist specialized in OR in our small and quickly growing team, you will play a major role in this effort. In particular, you will
Create and enhance fleet management practices across the company through analytical
techniques
Develop, from scratch, simulation experiments that lead to implemented optimization
algorithms to solve our complex supply chain problems
Assist in identifying key KPIs and metrics to measure our company’s supply chain
effectiveness
Help to identify the highest value next opportunities for OR within a big greenfield space,
work cross-functionally to plan and build, and measure your significant business impact
via experimentation
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 change an entire industry is not easily achieved, so we only hire people who are inspired by the goal and up for the challenge. In turn, our employees have every opportunity to grow with us, achieve personal and professional success and enjoy making a tangible difference in an industry that’s long been resistant to change.
Skills & Qualifications
Minimum Qualifications:
Graduate degree or equivalent practical experience in statistics, computer science,
applied math, operations research or related field
4+ years working on technology-powered products and projects within the OR, supply
chain optimization, or data science roles
Demonstrated understanding of the techniques and methods of modern algorithm
development
Strong cross-functional communication skills
Must be qualified to work in the United States - we are not sponsoring any candidates at
this time
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.
#LI-Remote