Sr. Growth Marketing Data Scientist (NY)

Philo: TV on the Internet (TVoIP)

At Philo, we’re a group of technology and product people who set out to build the future of television, marrying the best in modern technology with the most compelling medium ever invented — in short, we’re building the TV experience that we’ve always wanted for ourselves. In practice this means leveraging cloud delivery, modern tech stacks, machine learning, and hand-crafted native app experiences on all of our platforms. We aim to deliver a rock solid experience on the streaming basics, while cooking up next generation multi-screen and multi-user playback experiences.

Data Science at Philo

Data underpins everything we do at Philo: making informed business decisions; analyzing and improving the quality of our streaming experience; running product experiments to optimize our signup flows; and making it easier for our users to find the perfect thing to watch. On the Data Science team, we’re looking for someone who is comfortable working on a variety of interesting growth and marketing problems. You’ll be working closely with other data scientists, analysts, marketing managers, and engineers to build and deploy solutions directly for our service. 

We are passionate about problem-solving and providing data-informed insights for the entire company using both cutting-edge techniques and proven practices in close collaboration with every department. To complete our work we build on modern open-source tools including dbt, GrowthBook, Robyn, Superset, and PyTorch as well as SaaS tools such as Segment, SageMaker, AWS Glue, Mode, Avo, and BigEye.

Some of the recent projects our Data Science team members have worked on include:

• Modeling to determine which early product behaviors predict conversion to a paid subscriber
• Building in-house marketing attribution models to evaluate marketing channel performance (Marketing Mix Models and Multi-touch Attribution)
• Performing matched market lift tests in collaboration with marketing managers
• Price sensitivity research and competitive market analyses

Qualifications

Philo is seeking a Senior Growth Marketing Data Scientist with demonstrated understanding of statistical modeling (in R and/or Python), SQL, and experience independently developing data driven insights. This data scientist will have the opportunity to leverage massive structured, unstructured, transactional, and real-time data sets from a variety of sources, analyze financial and customer usage patterns, and make actionable recommendations to product, marketing, engineering, and business development teams. 

In this role the Senior Growth Marketing Data Scientist will support the entire product development lifecycle from product ideation and opportunity sizing to building and delivering software tools for our marketing team, including measurement and experiment design, and from causal analysis and post-launch learning into the next development cycle. Senior Data Scientists at Philo contribute to mentorship and leadership on the Data team whether they are people managers or individual contributors. Individuals with prior experience with people management or an interest in people management will have the opportunity to add that responsibility to their role at Philo.

Responsibilities:

• Build a deep understanding of how subscribers are acquired on each of our streaming platforms, including where they run into problems as well as proposing new approaches
• Develop a unified approach to measuring marketing performance by combining multiple methods of marketing measurement including Marketing Mix Modeling (MMM), Geo-based experimentation, and Multi-touch Attribution (MTA) to evaluate and  iteratively optimize the performance of our marketing efforts
• Collaborate with groups company-wide (e.g. business development, advertising operations, marketing, and support) on KPIs, including lifetime value measurement and optimizing customer acquisition costs
• Establish curated dashboards and reporting that will serve as the primary source by which we evaluate the performance of our growth efforts
• Run queries to support ad-hoc product questions and create Mode dashboards and other visualizations for stakeholders
• Own your analytics projects, proactively identify issues and opportunities, test hypotheses, and propose solutions
• Create and analyze surveys to understand consumer perceptions and to reinforce qualitative research findings
• Build and deploy machine learning and statistical models such as Customer Lifetime Value, Segmentation, time-series forecasting end to end through scoping, researching, prototyping, and productionizing with tools such as Git, Sagemaker, dbt, Robyn

Key Qualifications:

• 10+ years of experi