Marketing Data Scientist

GreatCall is the leading provider of easy-to-use technology for active aging. With health and safety solutions for older adults and their family caregivers, GreatCall’s innovative suite of mobile products and award-winning approach to customer care helps aging consumers live more independent lives. Products and services include: Lively Mobile, Lively Wearable, Jitterbug Smart, Jitterbug Flip and health, safety and medical apps Urgent Care, GreatCall Link, MedCoach and 5Star.

The Data Scientist is a new role on our digital marketing team. With a multi-million-dollar investment in marketing and a vast, rich data set of customer behavior, you’ll be pioneering new ways of marketing to the fastest growing population older adults and those that care for them. As we build-out our capabilities in data-driven marketing, you will play an important role in setting team direction, prioritizing projects, defining methodologies and communicating to broad range of stakeholders. You’ll be responsible for making sure we’re measuring, reporting and making decisions on the best available information. You’ll be responsible for developing and applying models that define where we should invest our marketing dollars and driving increasing efficiency through model-driven optimizations. You will also be responsible for creating attribution and media mix models that will inform decisions across GreatCall’s marketing budget, accelerating growth across all product and service lines. The right person for this role has a passion for taking this type of work out of the research lab and applying it in the real-world.

* Collaborate with digital strategy, web development and engineering teams to build a data-driven, marketing platform and the processes to maintain and improve it. The platform will help measure, report, analyze and predict behaviors to improve marketing performance * Source and prepare disparate data sources for accurate analysis and efficient data management/storage * Create models on large-scale datasets to optimize marketing performance by utilizing advanced statistical modeling, machine learning, and/or data mining techniques * Provide quantitative guidance in creating a/b tests and other experiments to improve marketing performance * Leverage models to address key growth challenges such as predictive LTV, cross-channel spend allocation, response modeling and media attribution for both Consumer and B2B audience segments * Create reports and dashboards to measure the performance of each digital and offline channel; and help better understand synergies across channels * Collaborate with marketing and sales leadership to build data-driven forecasting models * Other duties as assigned

**Education:** Master’s degree in Data Science, Statistics, Actuary or other quantitative field required **Experience:** * Minimum of 4 years of hands-on experience in advanced quantitative analysis; ideally in consumer technology and/or consumer subscription space required * Minimum 1 year of experience in cross-channel marketing attribution model development and evaluation required * Minimum 1 year of experience with machine learning techniques and advanced analytics (e.g. regression, classification, clustering, time series) required * Prior hands-on coding experience with Python/R/etc. programming languages required * Prior experience in developing advertising bid optimization algorithms preferred **Knowledge/Skills/Abilities:** * Excellent SQL skills - comfortable working with large data sets * Proficient with marketing platforms including Google 360, Google Adwords, DoubleClick and Salesforce * Expertise in data reporting and visualization tools including Excel, Tableau, or any of the other growing number of tools from Google, Microsoft, IBM or others * Familiarity with Hadoop/Hive, Azure, Redshift or other database platforms * Proven history of developing innovative and cutting-edge measurement capabilities across the range of marketing activities, including TV, print, advertising, digital, radio, and paid search * Analytical knowledge and experience in one or more of the following areas: internet, multi-channel B2B and/or B2C marketing, and web analytics * Strong interpersonal and communication skills * Excellent execution and organization. This role will be collaborating with marketers, engineers and product leads in rapid development cycles, and you should be reliable executing with little day-to-day oversight **Personal Attributes:** * Curious * Resourceful * Kind * Tenacious * Analytical * Intellectual Horsepower