Data Scientist/Engineer

Data Scientist/Engineer

Machinery Partner

Founded in Ireland and headquartered in Boston, Machinery Partner is on a mission to democratize access to high-quality heavy equipment and machinery for small and medium-sized businesses. Our unique, integrated model offers procurement, financing, and service that are more affordable, more efficient, and more accessible for customers, enabling them to start or scale their businesses and punch above their weight in a competitive landscape.

About the Opportunity

We are seeking an experienced Data Scientist to design and help build, maintain and analyze a clean data set of equipment auction data, parts data, new industry equipment, financial data and small industrial business data, in order to analyze it and extract competitive knowledge. You will be integral to establishing our technical workflow as a team - and as the resident data science/engineering expert, we will look to you to explore and integrate new tools and techniques. Reporting... to the Co-Founder, this highly impactful role offers the opportunity to lead key data science initiatives and interact with business leaders within the company. This role requires a self-motivated, high-energy individual who can easily function in a fast-paced, performance-driven environment.

Key Requirements:

• Working directly with the Co-Founder you will help develop the data strategy of the company
• Research and identify meaningful datasets to aggregate, build or buy for Machinery Partner
• Develop technical solutions to constitute these datasets in order to run analysis on them later on
• Cleaning dataset through in-house technical work, and the coordination of external annotation teams
• Ability to define a complex problem

Example of Projects

• Sorting, scoring and ranking of the potential of the equipment of 150,000+ heavy equipment manufacturers based on public and private data
• Statistical models to predict the likelihood of repair needs on a specific piece of machinery
• Pricing predictions based on repair and real time activity in the auction used equipment market

Requirements

• Must have a MS or Ph.D. in Computer Science/Engineering or a related field, or equivalent experience
• 5+ years of experience in data science, statistics, or developer role in academic or company
• Experience with data projects in a corporate setting
• Prior work with an engineering team
• Knowledge of R, Python or other language used to build and analyze data sets
• Excited to read research papers and implement them
• Strong communication and project management skills, and the ability to collaborate effectively with people at all levels across the company
• Ability to make decisions in ambiguous situations

Our Phenomenal Team Members Have:

• Intellectual curiosity, not happy with the standard-quo, always looking for better solutions
• Real passion around building great products and services that help small and growing businesses achieve their goals.
• High integrity
• Cool human who won’t balk at the work ahead needed to build the most amazing company of all times

At Machinery Partner, we are committed to:

Diversity, Equity, & Inclusion

We embrace individuality and believe diverse teams are winning teams. Our commitment to inclusion across race, gender, age, religion, identity, and experience drives us forward every day.

U.S. Citizens, Green Card Holders, and those authorized to work in the U.S. for any employer will be considered.

Equal employment opportunity and non-discrimination for all employees and qualified applicants without regard to a person's race, color, sex, gender identity or expression, age, religion, national origin, ancestry, ethnicity, disability, veteran status, genetic information, sexual orientation, marital status, or any characteristic protected under applicable law. Machinery Partner will make reasonable accommodations for qualified individuals with known disabilities in accordance with applicable law