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SalaryAbout Kojo
It's time to build. Whether it's creating more housing, upgrading our infrastructure, or adapting to climate change, one thing is clear: the construction industry is at the center of solving our biggest problems. We’re making buildings cheaper and easier to build by transforming the way commercial construction companies buy their materials. Join us.
Founded in 2018, Kojo is now one of the fastest-growing construction technology companies in the world. Construction accounts for $10 trillion in global spend annually and we can’t live without its output - our roads, schools, hospitals, and offices. Despite this, there’s been very little innovation over the past 70 years in how materials - which constitute up to 40% of project costs - are bought and sold. This is our opportunity.
We’re looking for a Data Scientist / ML Engineer for Kojo’s intelligent procurement platform. This highly impactful role will be a part of our small DS function and build Machine Learning models, analyze and process various types of data for our customer-facing product to supercharge our customers’ materials procurement decisions.
About the Role
The ideal person in this role is an experienced full-stack Data Scientist or ML engineer who can train rich real-world data into production models that enhance key decisions for our customers during the materials procurement process.
In addition, you have an opportunity to collaborate with the DS lead and engineering team on our ML platform, and with the product and leadership team on the Kojo intelligence strategy.
This role will include:
Diving into our dataset and design, implement, and scale customer-facing data-driven ML models and algorithms
Critically reviewing and interpreting data findings to ensure alignment with business goals
Collaborating with engineering, product, and business teams to integrate data insights into actionable strategies
Providing uniquely valuable insights to our customers with dashboard, reports, and recommendations
Working on initiatives to ensure the stability, performance and reliability of our data infrastructure
About You
An impactful and collaborative Data Scientist with experience building ML/AI models for customer-facing products will thrive in this role! If you’re excited about applying your skills to weave insights, recommendations, and AI into the Kojo platform, apply with us!
What you’ve accomplished:
3+ years of experience in an ML-focused data role
Experience with our tech stack: Python, SQL, and BI Tooling required; + Azure, AWS, GCP, and Docker preferred
Track record of executing quickly and iterating effectively on projects
Empathy when working with internal cross-functional stakeholders and on client-facing work
A history of raising the quality of real-world business and usage data to the level required to produce reliable insights.
Keen ability to translate nontechnical requests into precise and reliable terms
An understanding of complex disparate data sources and how to unify them
What you care about:
Customer Obsession: You care deeply about our customers and go the extra mile to delight them
Innovation: You look for the truth behind problems and for “10x” solutions
Growth: You are excited by problems because they’re opportunities for improvement
The salary range for this role is between $100,000 and $160,000 for candidates located in the US or Canada, commensurate with experience and location. The role is remote with no travel required.
Working at Kojo
Salary: Your salary will be dependent upon many factors, including your experience level, skillset, market dynamics and balancing internal equity relative to other Kojo employees. The compensation and benefits information that we provide is based on Kojo’s good-faith estimate as of the date of the job posting and may be modified in the future.
Benefits: This position is also eligible for a new hire equity grant and all US-based full time employees are eligible for our full suite of perks and benefits. For more information about our perks and benefits, check out https://www.usekojo.com/careers.
Location: Kojo’s team members work from home 100% of the time across North and South America. If applicable, we’ll identify the travel and/or location-specific requirements of a position in the text above. Otherwise, team members can expect to work business hours congruent with their local time zone and remotely.
Inclusive Workplace: Kojo values diverse perspectives and is committed to building an inclusive workplace. We are proud to be an equal opportunity workplace and do not discriminate on the basis of sex, race, color, age, sexual orientation, gender identity, religion, national origin, citizenship, marital status, veteran status, or disability status. Pursuant to the San Francisco Fair Chance Ordinance, we consider for employment qualified applicants with arrest and conviction records. We strongly encourage people from underrepresented groups to apply.
Scam Notice: Please be aware that there are individuals and organizations that may attempt to scam job seekers by offering fraudulent employment opportunities in the name of Kojo. These scams may involve fake job postings, unsolicited emails, or messages claiming to be from our recruiters or hiring managers. Kojo will never ask for any personal account information, such credit card details or bank account numbers, during the recruitment process.
