Lead Data Scientist

Lead Data Scientist
Online Marketplace
New York City
$160,000 - $175,000

Are you obsessed with how we can use data to personalize customer experiences and optimize data for the wider business Do you like to innovate and combine highly advanced analytics techniques with customer-rich marketing data to develop processes that optimize marketing efficiencies and effectiveness, while focusing on new customer acquisition? If you are a hands-on Senior Data Science professional with a background in SQL and R/Python, and have extensive experience working with Marketing teams to personalize all engagement across social and digital channels then I have a great opportunity for you to join one the leading analytics teams in the US.

THE COMPANY:

A globally renowned online marketplace in the heart of New York City that has millions of rows of rich customer data, are looking for an experienced Data Science professional to come on board and work seamlessly with the marketing teams to help them optimize the media marketing mix, increase new customer acquisition, measure attribution, and make marketing more effective to focus on growth, all while delivering insights and recommendations on how they can maximize engagement with the company.

THE ROLE - Lead Data Scientist

As a Lead Data Scientist, you will be a hands-on individual contributor, using SQL, and Python/R to answer key business questions about how to personalize marketing, optimize channel engagement and increase customer acquisition, specifically in the digital and social arenas. You will be building media mix models, identifying what should be measured to determine success innovating processes to ensure customer loyalty, and product upsell/cross sell growth. You will:

• Be the Data Scientist aligned with the Marketing team to set the strategic vision of advanced analytics surrounding marketing attribution, campaign effectiveness and customer lifetime value initiatives, prioritizing projects and ensuring that marketing personalization and advanced methodologies are at the forefront of all data-driven decisions made
• Be hands on using Python/R and SQL, as well as Google Analytics and Facebook Marketing to measure the performance of all paid, search, social and display marketing initiatives, focusing on measuring and modelling customer acquisition, and delivering insights and recommendations
• Work with a broad range of hard-to-capture data sets across both online and offline channels to understand customer behaviors, needs, wants and attitudes, turning these into insightful stories that can be used by the sales, marketing and operations teams to create new personalized services for the individual user

YOUR SKILLS AND EXPERIENCE:

• Degree educated in Math, Statistics, Operational Research or similar numerical discipline, with a Masters preferred but not essential
• Strong technical background in SQL, Python/R with solid experience in Multi-Touch Attribution, Media Mix Modelling, Customer Lifetime Value, campaign management and lead scoring across paid, search, social and display channels
• Exceptional communicator, with proven capabilities in demonstrating your ability to turn highly complex analyses into stories and customer journeys that can be used by multiple technical and non-technical audiences
• Background within an eCommerce or retail environment is highly desirable, with the ability to apply complex human behaviors and attitudes to enhance the development of the overall business

BENEFITS:

As a Lead Data Scientist you can expect to earn up to $175,000 + benefits (depending on your experience)

HOW TO APPLY:

Please register your interest by sending your resume to Jenni Kavanagh via the Apply link on this page

KEYWORDS:

SQL, Python, R, Analytics, Strategy, Data Science, Marketing, Media Mix Modelling, Multi Touch Attribution, Paid, Search, Social, Display, Google Analytics, Facebook Marketing, Product, Attribution, Customer Lifetime Value, Lead Scoring, Retail, eCommerce Advanced Analytics, Business, Time-Series, Regression, Statistical Analysis, Predictive Analytics, Model, Modell, Modeling, Modelling, Senior, Lead, Performance Marketing Data Science, Stakeholder Manager, Customer Acquisition, Looker, Retention, Sales, Growth, Tableau, AWS, Scala, Customer Behavior, A/B Testing