Data Science Manager, Marketing Analytics

New York
US$130000 - US$160000 per annum

Data Science Manager, Marketing Analytics
New York | Bay Area | Remote
Internet & New Media
$130,000 - $160,000 + Benefits

A leading, rapidly growing FinTech company is looking for an experienced Data Science Manager, Marketing Analytics to successfully leverage Machine Learning techniques for attribution models to meet business growth.

THE ROLE:

As Data Science Manager, Marketing Analytics, you will be the Advanced Analytics Lead for conducting advanced statistical analyses to enable a deeper understanding of both user behavior and key business drivers. You will be responsible for:

  • Using SQL to aggregate and query large amounts of customer, marketing, and product data
  • Using Python to conduct advanced statistical analyses (i.e., A/B Testing) & Machine Learning
  • Developing an array of predictive models (i.e., Attribution, Media Mix, Marketing Mix, Propensity)
  • Building dashboards in Looker, and delivering data-driven recommendations to key stakeholders

YOUR SKILLS & EXPERIENCE:

  • Progressive Advanced Analytics experience at high-growth digital/internet/eCommerce companies
  • Proficient in using SQL to extract data from data warehouses & prepare data for complex analyses
  • Proficient in conducting advanced statistical analyses & building predictive models in Python & R
  • Broad knowledge of Advanced Analytics, Data Science, and Machine Learning techniques
  • Proven commercial experience conducting A/B Testing, and Attribution & Propensity Modeling
  • Proven commercial experience developing Media Mix Models and/or Marketing Mix Models
  • Proficient in building dashboards using BI tools such as Looker, Power BI, and/or Tableau
  • Proven commercial experience analyzing data across multiple channels (i.e., app, email, website)
  • Experience leading large, cross-functional project teams with technical/non-technical stakeholders
  • Strong written/verbal communication, negotiation, and presentation skills across the business
  • M.S. degree in Computer Science, Econometrics, Engineering, Mathematics, Statistics, or related field

BENEFITS:

As Data Science Manager, Marketing Analytics, you can make up to $160,000 base (depending on experience).

HOW TO APPLY:

Please register your interest by submitting your resume to George Little via the apply link on this page.

KEYWORDS:

Data Science, Data Scientist, Advanced Analytics, Machine Learning (ML), Product Analytics, Marketing Analytics, Customer Analytics, Statistical Analysis, Statistical Model, Predictive Model, Python, R, SQL, Looker, Tableau, Power BI, Attribution Model, Propensity Model, Predictive Analytics, Customer Lifetime Value (LTV), Classification, Cluster Analysis, Customer Segmentation, CRM Analytics, Digital Product, A/B Test, Multivariate Test, Bayesian Technique, Hypothesis Test, Personalization, Experimentation, User Behavior, AWS, Customer Engagement, Customer Retention, Customer Acquisition, eCommerce, FinTech, Internet, New York, Boston, Chicago, Austin, San Francisco, Seattle, Los Angeles, SaaS, Subscription, Tech, Media Mix Model (MMM), Multi-Touch Attribution (MTA), Marketing Mix Model, Time-Series Analysis, Customer Journey Analysis, Subscriber Analytics, Audience Analysis, Audience Model, Audience Measurement, Marketing Effectiveness, Econometrics, Google Analytics, Adobe Analytics

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00111/GL
New York
US$130000 - US$160000 per annum
  1. Permanent
  2. Statistical Analyst

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Visit our Blogs & News portal or check out our recent posts below.

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