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The Senior Data Scientist position at Rundoo represents a unique opportunity for professionals passionate about data science and its application in real-world scenarios. Rundoo aims to empower independent supply stores by delivering best-in-class technology aimed at modernizing outdated systems in the building materials industry. This role encapsulates the responsibility to handle data science tasks from conception to execution, suitable for driven candidates ready to impact an essential yet overlooked industry.
Founded with a mission to transform the supply chain of building materials, Rundoo is on a path to modernize systems that serve over 200,000 independent retail stores across the United States. The company has successfully raised $18M from established investors like Bessemer and CRV and is composed of a diverse team of builders, sellers, and industry veterans pursuing a unified goal. By using data, Rundoo aims to help these local stores continue thriving amidst the digital transformation sweeping through numerous industries.
In this position, the Senior Data Scientist will be responsible for establishing a data-driven culture within QRundoo. The role's core responsibility encompasses transforming ambiguous business questions into definitive analyses and solutions. The Senior Data Scientist will report directly to the Head of Data Science. As part of the job, this individual will partner closely with various teams including Go-to-Market (GTM), product development, and finance. This high-impact role requires the individual to proactively identify anomalies and opportunities that will drive business growth as the company scales.
The Senior Data Scientist will engage in several critical tasks, including but not limited to:
Delivering high-trust analysis on clear timelines. Stakeholders should be able to trust both the results and the expected time of delivery.
Transforming business inquiries into well-defined analyses and system requirements.
Developing and maintaining internal systems that can provide reproducible insights.
Collaborating with GTM teams to shift analysis into actionable insights such as prospecting lists and territory design.
Proactively identifying issues such as anomalies or misallocated spending without waiting for a request.
Contributing to the integrity of a reliable data reporting pool that leadership can rely on during fundraising efforts.
Candidates interested in applying for the Senior Data Scientist position should have:
A minimum of 5 years' experience in data science, analytics, or applied machine learning in a rapidly growing environment.
A strong foundation in applied analytics, statistics, experimentation, and causal thinking.
Proven ability to scope and drive decisions on ambiguous problems while engaging with stakeholders.
Proficiency in writing production-quality code, specifically in Python, and building maintainable internal systems.
Excellent communication skills, capable of breaking down complex analyses for non-technical audiences.
High ownership and autonomy in a fast-paced environment, demonstrating adaptability without structured processes.
Bonus points: Candidates possessing the following will gain extra consideration:
Background in building internal analytics tools on cloud infrastructure.
Familiarity with early-stage startups and developing systems that scale.
A strong grasp of structured systems thinking and a readiness to defend or revise approaches as needed.
This remote-friendly role prefers candidates based in San Francisco or New York City due to the collaborative nature of the work. Expect approximately one week of travel per quarter to either Chicago or Redwood City offices. This flexibility allows professionals to maintain a work-life balance while fostering team collaboration.
While specific salary details have not been mentioned, the benefits package offered is comprehensive and competitive:
A contribution to a 401k plan through Betterment.
Unlimited Paid Time Off (PTO), inclusive of 10 company-paid holidays.
Gym reimbursements for fitness expenses.
Daily team lunches for employees working in-office.
Additional support for professional development, including learning materials and audiobook subscriptions.
A dog-friendly office environment for those who prefer a lively workspace filled with furry friends.
Candidates can anticipate an insightful interview process that will assess their suitability for the role. The steps typically include:
An introductory call lasting 30 minutes.
A detailed overview of a take-home exercise that may take about 4-6 hours to complete, and this exercise is paid.
An on-site discussion at Rundoo, where candidates will problem-solve, demonstrate analytical skills, and showcase excellent communication to collaborate effectively with executives and various teams.
Behavioral questions directed to assess alignment with company culture and values.
Reference checks from previous managers, peers, and project stakeholders.
Rundoo’s efforts to cultivate a data-centric approach to business endeavors provide a solid career opportunity for individuals eager to contribute to the modernization of supply stores through data science, ultimately fuelling economic growth and sustainability.
This job offer was originally published on jobicy.com
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