Senior Data Scientist
Columbia, MO
EquipmentShare
Rent the newest construction equipment and tools, track your entire fleet and put your assets to work with EquipmentShare at one of our 240+ locations.EquipmentShare is Hiring a Senior Data Scientist
EquipmentShare is searching for a Senior Data Scientist to join our team. This position is fully remote.
Primary Responsibilities
- Drive ongoing projects using a variety of ML, OR and statistical techniques in a full-stack data science environment
- Help to identify the highest value next opportunities for data science within a big greenfield space, work cross-functionally to plan and build, and measure your significant business impact via experimentation
- Help shape best practices within the team, along with mentoring and developing junior data scientists
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, machine learning, operations research or related field
- 5+ years working on technology-powered products as either a data scientist, ML engineer, research scientist or a closely related role
- Demonstrated understanding of the techniques and methods of modern product development
- Strong cross-functional communication skills
- Must be qualified to work in the United States or the United Kingdom - 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.
* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
Tags: Computer Science Machine Learning Research Statistics
Perks/benefits: 401(k) matching Career development Competitive pay Conferences Fitness / gym Health care Home office stipend Insurance Medical leave Parental leave Snacks / Drinks Team events Unlimited paid time off
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