At Cameo, we make impossible connections possible. Our global platform allows fans to get personalized messages from their favorite stars and creators and through our Cameo for Business platform, all companies can now leverage the power of celebrity at scale. The key to our success? Our outstanding Cameo Fameo. The people behind the scenes, spreading joy to our talent and their fans - as well as their fellow colleagues - each and every day. 

From product marketers to talent relations managers, software engineers and recruiters, the Cameo team is made up of the brightest minds in the biz. As we grow, our core values and startup mentality remain; we value creativity, hard work, collaboration, direct dialogue and feedback, and the continued development of our people. We are a fully distributed, highly connected company (TL;DR no company offices < plenty of company gatherings). For more information, please visit careers.cameo.com.

Our team is guided by four core values, and we like to share them early on to set the stage! 

• Roll out the Red Carpet - Do you welcome everyone just as they are?
• Make it Memorable - When was the last time you said, "wow, that sh!t was cool!"
• Run Through Walls - How do you create purpose from challenge?
• Fight for Simplicity - Get comfortable with saying no and intentional when saying yes.

A few more things to consider:

👋 Our employees are called the Cameo Fameo, and our team means everything to us. Join smart, curious, humble individuals from all over the world and experience what it’s like to love where you work.

🏆 Humble brag - we’re honored to be named one of LinkedIn’s Top 50 Startups to Work For, voted one of America’s Best Startup Employers by Forbes, the #1 Most Innovative Social Media Company by Fast Company, and recently raised a $100M Series C.

🌎 Trade those commute hours for more time to do what makes YOU happy. We're a Work From Anywhere in the U.S company, with an entirely distributed team, so as long as you’ve got WiFi, you’re perfect to us. Don’t worry, we find ample time throughout the year to come together and celebrate our wins IRL! 

🎁 The goods - competitive salaries, equity, health insurance, 401(k), wellness perks, unlimited PTO, Heads Down Hump Days 🐪 (aka no recurring meetings), and an annual talent show that will have you LOL-ing - just to name a few. Oh, and did we mention Cameo works with noteworthy actors, athletes, musicians, your favorite creators, global superstars, famous furry friends and more!?

About the role:

Come join us in our mission to create the most personalized and authentic fan connections on earth. 

We are looking for an experienced Senior Data Scientist to partner with our Algorithms product team building the data products that power our search, ranking, and pricing algorithms. This role will report into the Director of Product Data Science and will work closely and be a core thought-partner to the cross-functional team including product managers, technical engineering leads, and data scientists across our organization. 

This person will be responsible for surfacing critical insights to support product development and iteration. In addition, they will also own setting success measures, designing and evaluating A/B tests, and helping implement analytical infrastructure to support the needs of the business.

The ideal candidate will have strong technical, analytical and problem solving skills. This person will apply a hypothesis based approach and apply strong business intuition in their day-to-day work. They would have eagerness to work cross-functionally, curiosity to learn more every day, and patience to work through difficult problems to ultimately inform and influence product decisions. 

What you’ll be doing:

• Drive insight and innovation as a part of our Algorithms cross-functional team, working with product managers, engineers, and data scientists; Use the analytical perspective to inform the road-map of the cross-functional team, and help drive a ruthless focus on the most impactful ideas.
• Help the cross-functional product team define and measure success; Own defining metrics and KPIs, socializing them across the organization; Help the team understand whether what it is doing is moving the needle on its success metric
• Partner with Data Platform to implement / construct, but serve as the expert for the success metrics by understanding how data collection is instrumented in the product, how it flows through our ETL pipeline and is aggregated, and how metrics are defined in our analytics platform. Design (and construct as needed) the core dashboards, visualizations and analyses to help stakeholders monitor product health and make better decisions
• Proactively explore data, and alternatively for incoming requests, navigate ambiguity and formulate hypotheses; Conduct quantitative analysis of user behavior to uncover issues or opportunities to improve the business and user impact of our search, ranking, and pricing algorithms to inform specific, near-term actionable experiment designs or product decisions or longer term product strategy; Partner with Product and produce analysis to inform estimated feature success.
• Own the design, execution, and analysis of experiments to enable data-driven decision making; Design rigorous experiments based on hypotheses from strategic analyses; Analyze the results of experiments to determine what should launch or not. Learn from and iterate on those experiments by identifying additional opportunities to drive growth.
• Communicate insights to stakeholders distilling complex analysis into accessible learnings, with a data-driven point of view and plan for action. Deliver effective presentations to influence multiple levels of stakeholders.
• Be a driving influencer on the use and application of analysis; deliver what’s needed, and show what’s possible; Be an advocate for analytics by educating and advocating for data driven decision making

What you bring to the table:

• 5+ years experience working in the product analytics space
• Strong experience designing and assessing the impact of A/B experiments in a product development cycle
• Ability to write performant, complex SQL queries combining multiple sources of data
• Confidence using a variety of analytical and statistical techniques
• Knowledge of analytical tools such as Amplitude, Tableau, Looker, Git , DBT, or similar; Bonus points for strength with R / Python
• Practical experience in a business environment influencing decision making with data
• Excellent communication, storytelling, and collaboration skills
• Enough laziness to find a faster way to do your least favorite tasks
• Humility and compassion; Sense of humor and a strong work ethic

Above and beyond qualifications:

• Passionate about the role of data in helping solve complex questions
• Demonstrated passion for building products that delight customers and drive their success
• Experience working at, or strong understanding of, a 2-sided marketplace business
• ‘What’s right for the business’ mindset, ‘hypothesis first’ approach to defining and solving problems
• History of proven success (progressive career, promotions, etc), and ability to think creatively and critically and thrive in a fast-paced, dynamic, and often ambiguous work environment
• Passion for Cameo; Ability to adapt to a culture of an ever-growing rocketship company that embraces and commits to change

Cameo is an equal opportunity employer. We are committed to creating an inclusive and welcoming environment for every person who walks through our doors. All employment is decided on the basis of qualifications, merit, and business need. Cameo celebrates and embraces diversity.

Please consult the Notice to California Residents contained in Cameo's Privacy Policy available at https://www.cameo.com/privacy for information regarding your rights under the California Consumer Privacy Act if you are a California resident.

We are working on becoming compliant with Colorado regulations.  Until then, this role can not be performed in Colorado.