Principal Data Scientist

About Reputation

Reputation has changed the way companies improve their customer experience through feedback. Based in Silicon Valley and founded in 2013, Reputation is the global leader in reputation experience management. With its SaaS platform, Reputation technology has managed tens of millions of consumer reviews and consumer interactions across hundreds of thousands of online points of presence for global companies spanning nearly every industry vertical. 

Reputation was ranked for the second year in a row in G2’s Top 100 Best Software list for 2022 as a part of its annual Best Software Awards. Recently, Reputation was named to the Forrester Wave For Customer Feedback management platforms and was recognized by Forrester as one of the most significant social suite vendors. Additionally, Gartner named Reputation to the 2021 Gartner Magic Quadrant for Voice of the Customer. 

Why work at Reputation?

• Reputation reached over $100m in Annual Recurring Revenue (ARR) in 2022 and continues to grow worldwide.

• We've raised over $200 million in funding from A-list venture capital firms such as Bessemer Venture Partner and Kleiner Perkins, including $150 million in equity financing from Marlin Equity Partners in January 2022. 

• Reputation is trusted by more than 250 partners, including Google, Facebook, Salesforce, J.D. Power, Amazon and Web.com.

• Our industry leading platform has been recognized by Forrester and Gartner as a vendor of choice in Voice of the Customer, Customer Feedback Management, and Social Suites research reports.

• The platform is used by 10+ major automotive OEMs and 16,000 auto dealerships, more than 250 healthcare systems, and over 100 leading property management firms.

• Our executive management team is committed to building a performance-based culture where excellence is rewarded and careers are developed.

• Who thrives at Reputation? Managers who embody a player-coach mentality. Employees who value teamwork and cross-functional collaboration. People who emphasize perseverance and hustle over quick wins and luck.

• Our Mission: We exist to forge relationships between companies and communities.

Reputation.com is the leader in Online Reputation Management, and our mission is to sort through the vast amounts of information about our customers represented in surveys, reviews, and other sources and derive actionable insights and tangible business results for our customers.

As a Principal Data Scientist, you will be at the center of this mission. We want you to develop the best algorithms to extract insights from that corpus of customer feedback, build the best models to measure the value of those insights, and lead the way in creating data products out of these models.

Principal Data Scientist Responsibilities:

• Lead and own multiple core models, overseeing their entire lifecycle from understanding complex business needs, to precise problem formulation, advanced modeling, prototyping, and ensuring successful production deployment. 

• Experience developing Saas products using ML/AI is preferred.

• Strategically collaborate with cross-functional teams, including product, engineering, operations, marketing, and sales, to identify and unlock transformative opportunities for sustained growth and innovation.

• Drive the application of advanced machine learning algorithms and sophisticated statistical techniques to create and enhance cutting-edge product features.

• Provide mentorship and guidance to data science team members, fostering a culture of continuous learning and development.

• Engage in high-level strategic planning and contribute to the company's data-driven decision-making framework.

• Additional responsibilities as required, commensurate with a leadership role.

Qualifications:

• At least 8 years of progressive experience in data science, with substantial responsibilities in leadership and strategic oversight.

• Proven ability to integrate feedback from a range of stakeholders—including Product Managers, Engineers, clients, and senior executives—to shape and deliver sophisticated, impactful models and data products. Capable of developing and maintaining a comprehensive strategic roadmap.

• Demonstrated expertise in using data to address complex problems, driving actionable insights and solutions.