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Data Science Intern

3 months ago

San Ramon, United States Reputation.com Full time

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 Data Science Intern, 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 contribute to creating and improving our data products with these models.

Responsibilities:

  • Under the guidance of one of our data scientists, you will be expected to take the lead on a project and take it end-to-end from understanding business needs, to problem formulation, to modeling and prototyping, until it is ready to be productionalized.

  • Collaborate with cross-functional teams such as product, engineering, operations, marketing and sales teams to unlock new opportunities for growth.

  • Apply machine learning algorithms and statistical techniques to build new product features or enhance existing ones.

  • Additional duties as assigned.

Qualifications:

  • You should be comfortable working independently, while still ready to ask for help or guidance when needed.

  • Demonstrated ability to solve problems using data.

  • Undergraduate degree in Computer Science, Statistics, Data Science, Analytics, or a related field. Graduate degree and/or industry experience are a plus.

  • A strong background in machine learning, stochastic modeling, predictive analytics and experience applying these techniques. Experience with NLP/text analytics is a plus.

  • Strong communication skills. You are able to explain models intuitively to engineers, PMs, executives, and clients.

  • Proficiency in Python, R, or similar and with related machine learning packages.

  • Proficiency in SQL is a plus.

  • Data visualization experience is a plus.

  • Strong programming skills and/or experience or a strong interest in cluster computing frameworks such as Apache Spark are a plus.

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.

Our employees say it best:

According to Glassdoor, 94% of our employees approve of our CEO, Joe Burton.

Our employees highlight our:

  • Ample Opportunities- "There are many opportunities to learn and grow. Many open roles are replaced with internal promotions."

  • Positive Culture- "Great opportunity and exceptional culture." "You will never have a better culture anywhere else. Period."

  • Training and Tools- "All managers truly want you to succeed, and you are given great tools and training to be successful in your role."

  • Balance- "Great work life balance and awesome team environment"

Diversity Programs & Initiatives:

Our Reputation Nation spans around the world. This global perspective allows us to intentionally unlock the magic that comes from diversity of experience to contribute to our success.

At Reputation, we believe in:

  • Diversity: Embracing a culture that values uniqueness.

  • Inclusion: Inviting diverse groups to take part in company life.

  • Belonging: Helping each individual feel accepted for who they are.

"At Reputation, we see diversity and inclusion as the foundation for an equitable workplace. Our goal is to empower all of our employees, regardless of their background, to make an impact in their work each and every day." - Joe Burton, CEO, Reputation

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 ourCandidate Privacy Notice.

Applicants only - No 3rd party agency candidates.