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Senior Data Scientist

extra holidays - fully flexible

Remote:

Full Remote

Contract:

Full time

Experience:

Senior (5-10 years)

Work from:

Missouri (USA), United States

Offer summary

Qualifications:

Graduate degree in statistics, computer science, or related field, 5+ years of experience in data science roles, Understanding of modern product development techniques, Cross-functional communication skills, Must be eligible to work in the US or UK.

Key responsabilities:

Drive projects using ML and statistical techniques
Identify high-value opportunities for data science
Work cross-functionally to build and measure impact
Shape best practices and mentor junior data scientists

EquipmentShare Large https://equipmentshare.com/

1001 - 5000 Employees

See more EquipmentShare offers

Job description

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.

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