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 only platform that empowers companies to fulfill their brand promise by measuring, managing, and scaling their reputation performance in real-time, everywhere. Functioning as a business' eyes and ears in the spaces where customers talk, post, review, and recommend, Reputation AI-powered product stack analyzes vast amounts of public and private feedback data to uncover predictive insights for companies to act on, and improve their online reputations. Visit reputation.com to learn more.

Reputation continues to earn recognition as a trusted leader in both innovation and partnership. Most recently, the company was named an Inc. Power Partner , a distinction awarded to B2B organizations with a proven track record of helping clients thrive. Reputation was also officially Certified as a Great Place to Work , reflecting its commitment to cultivating a world-class culture that fuels long-term success for employees and customers alike.

Why work at Reputation?

Reputation has achieved substantial annual recurring revenue from Global Fortune 1000 companies and continues to grow worldwide.

We've secured significant funding from A-list venture capital firms such as Bessemer Venture Partner and Kleiner Perkins, including a major equity financing from Marlin Equity Partners in January 2022.

Reputation is trusted by more than 250 partners, including Google, Meta, Yelp, Apple Business Connect, Healthgrades and Entrata.

The platform is used by major automotive OEMs and thousands of their new vehicle dealerships. Additionally hundreds of healthcare systems and their locations, along with top property management firms have integrated Reputation within their organizations.

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 : Help businesses always know what their customers are saying about them and always act on that feedback

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

Role Overview : As a Data Scientist, you will contribute to this mission by developing algorithms to extract insights from customer feedback and building models to measure their value. You will also assist in creating data products based on these models.

Responsibilities

Cross-Functional Collaboration : Act as an embedded strategic partner with product, engineering, operations, marketing, and sales teams to identify and evaluate growth opportunities using data.

Problem Reframing : Translate business requests into more impactful inquiries that address the core needs and add strategic value.

Data Modeling : Develop machine learning models to solve business problems, such as lead scoring and customer churn prediction, and apply statistical techniques to inform product development.

End-to-End Model Lifecycle : Participate in the data science lifecycle from problem formulation and data collection to model deployment and monitoring, including handling model drift and retraining.

Use of Advanced Tools : Utilize machine learning frameworks such as TensorFlow, PyTorch, and scikit-learn, demonstrating the ability to select appropriate tools based on project requirements.

API Integration : Interface with APIs, including those for large language models, to integrate AI functionalities into business applications.

Data Platform Proficiency : Perform SQL queries and leverage data platforms like AWS, GCP, or Azure for data storage, processing, and model training.

Ad-Hoc Analysis : Conduct exploratory analysis to answer urgent business questions and solve unforeseen problems, demonstrating adaptability and problem-solving skills.

Skills

Technical Proficiency : Strong command of Python and SQL, with hands-on experience in using machine learning frameworks (TensorFlow, PyTorch, scikit-learn).

Statistical and Modeling Expertise : Knowledge of supervised and unsupervised learning techniques, and the ability to apply them to real-world business challenges.

Cloud Platform Experience : Competency in working with cloud-based data services (AWS, GCP, Azure) for data analysis, storage, and model deployment.

API Utilization : Familiarity with integrating external AI services through APIs, including prompt engineering for large language models.

Problem Solving and Insight Extraction : Demonstrated ability to independently solve complex data problems and extract business insights.

Communication and Storytelling : Excellent communication skills, capable of translating complex data findings into actionable business insights for various audiences.

Industry Experience : At least one year of experience working with industry data, demonstrating practical application of data science principles in a business context.

Adaptability and Curiosity : Willingness to explore new challenges beyond formal job duties and quickly adapt to evolving business needs.

Bonus Skills :

Experience with NLP / text analytics such as spaCY, BERTopic, FastTopic.

Hands-on experience applying Large Language Models to solve problems. This could range from using frameworks like Hugging Face Transformers for NLP tasks to building more advanced applications with various LLM frameworks.

Familiarity with model interpretability techniques (e.g., SHAP, LIME) and an awareness of ethical considerations in AI, such as fairness and bias.

When you join Reputation, you can expect :

Flexible working arrangements.

Career growth with paid training tuition opportunities.

Active Employee Resource Groups (ERGs) to engage with.

An equitable work environment.

We are an equal opportunity employer and value diversity at our company. We do not discriminate based on race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status or disability status.

At Reputation, we're committed to building a workforce that reflects a broad range of backgrounds, experiences, and perspectives. We believe that diversity strengthens our team, drives innovation, and helps us better serve our customers and communities. Through inclusive hiring practices and ongoing initiatives, we strive to create a workplace where everyone feels valued and empowered to contribute.

Additionally, we offer a variety of benefits and perks, such as :

Flexible PTO for salary paid employees

Hourly employees accrue PTO based on tenure and receive 5 sick days annually, available day 1

10 paid company holidays

4 company paid , "Recharge Days," which are wellness days off for the entire company

Health, dental and vision insurance

401k

Paid Parental Leave for all eligible employees as of day 1 of employment

Employer paid short and long term disability and life insurance

Employee Assistance Program (EAP)

Access to a wide variety of unique perks and apps :

PerkSpot - Employee Discount Program

Wellhub (Gym Pass) - Access to wellbeing virtual apps, coaching and gym membership options

Carrot Fertility - Fertility & family forming, maternity, parenting, and hormonal health support

Omada - Virtual prevention and physical therapy program

Ladder -Life insurance to supplement outside of employer offering

SoFi - Financial wellbeing platform and 1 : 1 advice

Fetch - Pet insurance discount program

Spring Health for Guardian - Virtual mental health support

XP Health for Guardian (virtual eye-wear platform)

We are an equal opportunity employer and value diversity at our company. We do not discriminate based on race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.

To learn more about how we handle the personal data of applicants, visit our Candidate Privacy Notice .

Applicants only - No 3rd party agency candidates.