Data Scientist at Papa Technologies in Miami, FL

Papa’s mission is to support families throughout the aging journey. Every day 11,000 people in the United States turn 65. Loneliness is a disease and Social Determinants of Health have huge impacts on people’s lives. The Papa team and our tens of thousands of Papa Pals are here to provide companionship, support, and care to millions of families.

Backed by amazing partners, Papa has raised over $31M in funding. Our investors include Canaan, Comcast Ventures, Operator Partners, Magnify Ventures, Pivotal Ventures (Melinda Gates’ fund), Initialized Capital, Sound Ventures (Ashton Kutcher’s fund), and YCombinator.

Papa, Inc. is an equal opportunity employer. We proudly support the ParityPledge® for gender and/or racial parity at the highest levels of business.

About the Role

As the first Data Scientist within Papa’s Marketplace team, you will play a key role in improving our product experience and the health of our marketplace. You will partner with business owners across growth, product, and operations to understand goals, craft KPIs, and measure ongoing performance. Initially, you will work with product, growth, and engineering teams to ensure we have the proper instrumentation in place to deliver on these metrics. This may include input into expanding Papa’s data management capabilities. Your work will be crucial to architecting and building our data infrastructure. You will subsequently use advanced statistical techniques to analyze large data sets and identify key insights to inform growth opportunities, product improvements, and business strategy. You will help ensure that our teams are asking the right questions and help find those answers. Understanding the team’s goals, you will be proactive in discovering and sharing relevant insights so we can provide an ever-improving product experience and reach more people. This role requires a high level of independence, ownership, initiative, and collaboration working cross-functionally across all levels of the organization.

Your Responsibilities

• Understand the business. Work with stakeholders to address objectives and key results.
• Fully understand Papa’s Data landscape and data management capabilities, including data sources, data pipelines, data warehouse, and data visualization tool.
• Develop our attribution models to help optimize our growth efforts.
• Design and add new features to data warehouse models to enable analysis.
• Conduct an analysis to determine which attribution model is most useful to the business
• Explore high-level questions like “What are the patterns of the most successful Papa Pals?”
• Proactively ask questions of the data to challenge our assumptions and surface opportunities.
• Question our assumptions! Find new and better ways to do what we’re doing.

Requirements

• Degree in Computer Science, Math, Statistics, Engineering, Operational research, a related quantitative field, or equivalent experience
• 3+ years work experience in data science and analytics, with a focus on marketing analytics, statistical modeling, machine learning, forecasting, optimization and visualization to solve real-world problems
• Proficiency in Python and/or R for data analysis
• Expertise with SQL (and relational databases) and data visualization tools such as Looker for data exploration and ad hoc analysis
• Experience working with Data warehouses such as Snowflake
• Strong communication skills, ability to explain complex problems, and to share and visualize findings with business stakeholders
• Demonstrated ability to deal with ambiguity and juggle between multiple priorities, leading high quality work and adhering to tight deadlines
• Passion for analyzing and utilizing large data sets
• Positive demeanor, curiosity, integrity, and a solid work ethic

Preferred Qualifications

• Experience in media or marketing analytics, including campaign measurement, cross-platform deduplication and lookalike modeling, or multi-touch attribution modeling
• Experience designing and analyzing experiments to measure the impact of new product features

Salary & Benefits:

• Market competitive salary
• Bonus provided based on individual goals
• Health benefits
• Health Care, Vision, Dental
• PTO + paid holidays (available after 90-days)
• 401K + matching