🤠 Why Join Us 

User Interviews is a fully remote team (even in the before times). We are proactive about staying connected to one another despite not sharing the same physical space. Remote culture is real, and we care about it—a lot. 

We’re a team of doers. You’ll be fully supported by your manager and team, but there won’t be anyone peering over your shoulder. You’ll be expected and trusted to take ownership of your work and to communicate clearly and transparently with your distributed teammates. 

On a related note, we’re very pro-feedback. From our users, of course. But also from each other. From individual contributors right up to the CEO, this is a team that is genuinely committed to continuous improvement. 


⭐️ About User Interviews 

At User Interviews, we believe that the best companies in the world consistently deliver products and experiences that their customers love. We also believe that the only way to build those products and experiences consistently is to talk to your customers. Watch what they do. Understand why they do what they do. Figure out why they do things that seem irrational. And once you’ve done that once, do it again. Start having constant conversations. In short, make customers your #1 priority through user research.    

That’s why we exist. We help teams set up those conversations, allowing them to discover and embrace user insights. We currently do that by making it fast and easy to talk to customers, or potential customers, to help with product, design, or marketing decisions. We work with hundreds of companies every month, including user-centric organizations like Atlassian, Amazon, and Spotify.  

 

📈 Analytics at User Interviews

We believe that access to data-driven insights and models has the power to enhance stakeholders' ability to make decisions that will bolster User Interviews’ success, help create an ever-better product, and elevate the experience of users on our platform. We work with every team at the company and across diverse data sets to make this happen! 

 

🚀 About the Role

As a Data Scientist, you’ll be embedded with a cross-functional Product team and involved throughout projects, from planning to building to assessing.
The team will look to you to explain current behavior, model potential outcomes, and be a leading voice in where we should go next.

 

🤖 Responsibilities 

• Use analytical skills to create and test hypotheses, and visualization/presentation skills to communicate results to the rest of the team.
• Collaborate with Product Managers, Engineers, Designers, and other teammates to ensure we have the data we need, formulate analysis plans, and complete high-impact reports.
• Work with large data sets across multiple problem areas. This includes vetting new datasets as they come in, and developing deep intuition about how all of our data fits together.
• Focus on automating reporting tools and dashboards so that we can spend more time on the most complex problems. 
• Look for opportunities to deploy machine learning solutions / predictive analytics to enhance our product.

Some sample projects that the Data Science team has helped with: 

 - How can we improve customer retention? 

 - How can we predict and prevent fraud on our platform? 

 - What should the Product team build next? Once it’s built, how does it perform? 

 - What predicts how well we fulfill our customers’ needs? 



✨ Qualifications
• Fluency in SQL
• Proficiency in either R or Python
• Knowledge of statistics and other data analysis methods
• Experience working with large, complex datasets
• Experience supporting Product teams, preferably at a software company
• Experience with BI tools, such as Tableau, Looker, Mode Analytics
• Ability to verify, analyze, and present data in ways that other stakeholders can internalize
• Candidates must have a United States address and be authorized to work without any Visa sponsorship.

 

✚ Bonus points
• Bachelor’s or Master’s in a quantitative field (e.g. Statistics, Data Science, or Economics); professional experience in data science can be a replacement
• Knowledge of and experience implementing machine learning models in production
• Experience working with Engineers to build good data infrastructure

 

🤑 Benefits
- $115k - $130k base salary, dependent on experience, + annual performance bonus target
- Stock options for every employee
- 100% premium covered medical & dental employee coverage
- Annual membership to One Medical Group & Talkspace
- 401k + annual employer contribution
- 4 weeks of PTO to start + accrue an additional day each year
- Unlimited wellness days. Sick? Doctor’s appointment? Mental health day? We’ve got you covered.
- Flexible, paid parental leave - $250 office setup budget (in addition to laptop being provided)
- $100 annual learning & development stipend - $50/month Work From Home stipend
- Awards for 360-degree recognition, work anniversaries, & birthdays
- Annual team retreat (virtual and in-person options)

 

💚 We embrace what makes you, you! 

We are committed to accessibility, equity, diversity, and inclusion. We build products for and welcome participants, researchers, and employees from a diverse set of backgrounds. These backgrounds include—but are not limited to—varied socioeconomic status, gender identity or expression, sexual orientation, religion, race, ethnicity, age, neurodivergence, disability, and citizenship. As we grow, we are aware that this work is continuous. We will not settle for how things are, but rather strive for how they could be.

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