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 Jr. Data Scientist to join our small DS team at Kojo. As our second Data Science team member, this highly impactful role will support our analytics and inference needs so we can continue to grow and invest in the future of our product.
This role will include:
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Updating and evolving our critical business metrics with C-level and Board of Directors visibility
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Collaborating with engineers and DS lead on reliable and clean data flow into the data warehouse and developing key business insights with that data
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Collaborating with the DS lead on innovative data-driven product features such as Kojo’s universal catalog, as well as recommended product and vendor selection.
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Providing uniquely valuable insights to our customers with dashboard, reports, and recommendations
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Providing metrics feedback to product and engineering org to maximize customer value out of the features we ship
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Enabling the finance, sales, CS, and other departments with the foundation to consistently make data driven decisions
An impactful and collaborative Data Scientist 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:
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2+ years of experience in an analytical-focused role, previous work in data science teams preferred
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Experience with our tech stack:
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Python, SQL, and BI Tooling required; + Azure, AWS, GCP, and Docker preferred
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Track record of executing quickly and iterating effectively on projects
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Empathy when working with internal cross-functional stakeholders and on client-facing work
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A history of raising the quality of real-world business and usage data to the level required to produce reliable insights.
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Keen ability to translate nontechnical requests into precise and reliable terms
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An understanding of complex disparate data sources and how to unify them
What you care about:
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Customer Obsession: You care deeply about our customers and go the extra mile to delight them
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Innovation: You look for the truth behind problems and for “10x” solutions
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Growth: You are excited by problems because they’re opportunities for improvement
The salary range for this role is between $100,000 and $150,000 for candidates located in the US or Canada, commensurate with experience and location. The role is remote with no travel required.
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.
