Avispa Technology
Associate Director - Commercial Analytics
Avispa Technology, Washington, District of Columbia, us, 20022
Associate Director - Commercial Analytics 74-1
A leading music streaming company looking for Associate Director - Commercial Analytics. We are seeking a person that combines strong programming, data management and statistical skills.
This position plays a key role in supporting in-market control tests and building machine learning models to increase subscriptions, revenue and improve app engagement and customer experience. In this role, you will develop models designed to predict churn/LTV, enhance segmentation and customized messaging, and measure effectiveness of advertising spend. You will also support test design and evaluation of marketing initiatives across multiple channels spanning the customer lifecyle. A keen interest in using analytics and data science to optimize digital media and conversion is critical.
Associate Director - Commercial Analytics Pay and Benefits:
Hourly pay:
$85-$105/hr Worksite: Leading music streaming company (Washington DC 20002 - Hybrid, Open to remote candidates located in the United States, Candidates in Washington DC preferred) W2 Employment,
Group Medical, Dental, Vision, Life,
Retirement Savings Program,
PSL 40 hours/week, 12 Month Assignment Associate Director - Commercial Analytics Responsibilities: Support testing marketing initiatives to maximize media spend performance, drive app engagement and increase subscriber retention across the customer lifecycle applying proper statistical rigor. Responsibilities include experimental design (sample sizing, timing), quality checking implementation and test measurement and evaluation. Deliver presentations describing experimental results and recommendations to business partners. Prepare dashboards providing daily monitoring of test results. Build machine learning models for predicting key outcomes used to inform marketing tactics across digital acquisition and user journey orchestration Work closely with engineering to productionize and monitor model performance Represent Commercial Analytics capabilities and data-driven insights within cross-functional teams to help achieve business objectives Develop complex SQL queries combining data from a wide variety of sources in preparation of feature engineering and test analysis Create custom Python libraries available for team use to automate key methods. Examples include statistical methods for timing/sizing experimental design, verifying test populations are unbiased and matched-market test design. Types of projects you’ll be working on:
Test onboarding/engagement/retention campaign attributes across email, push and in-app messaging. Attributes include segmentation, offer, messaging, creative, frequency and cadence. Develop machine learning models to predict retention at various stages in the user lifecycle. Incorporate predictions into test results to optimize marketing tactics by segment and present feature importance to business stakeholders. Measure incrementality of paid media campaigns using matched market testing. Develop forecasting tools for business metrics using machine learning.
Associate Director - Commercial Analytics Qualifications: 5+ years of experience as a Data Scientist. Master’s degree in Data Science, Statistics, Engineering, Mathematics, or Computer Science. Project management experience preferred. Experience working within an advertising agency or creative environment preferred. Experience with cloud technologies. Understanding or experience working within an enterprise data warehouse environment (including SQL, procedural SQL, and ETL). Capability to build, tune and explain machine learning models for supervised and unsupervised learning. Methods include, but are not limited to, regression, clustering and ensemble methods. Understanding of statistical concepts, lift analysis and A/B testing fundamentals. Excellent programming skills in Python. Ability to produce data visualizations for explaining technical concepts. Familiarity with business intelligence dashboards. Excellent time management skills, with the ability to prioritize, multi-task and work under shifting deadlines in a fast-paced environment. Strong attention to detail. Willingness to take initiative and to follow through on projects. Familiar with marketing communications strategy and processes, including online media, application development and web site development. Strong interpersonal capabilities and excellent verbal and written communication skills. Well-organized, detail-oriented, energetic, independent and responsive to feedback. Spelling, grammar, proofreading and editing skills.
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$85-$105/hr Worksite: Leading music streaming company (Washington DC 20002 - Hybrid, Open to remote candidates located in the United States, Candidates in Washington DC preferred) W2 Employment,
Group Medical, Dental, Vision, Life,
Retirement Savings Program,
PSL 40 hours/week, 12 Month Assignment Associate Director - Commercial Analytics Responsibilities: Support testing marketing initiatives to maximize media spend performance, drive app engagement and increase subscriber retention across the customer lifecycle applying proper statistical rigor. Responsibilities include experimental design (sample sizing, timing), quality checking implementation and test measurement and evaluation. Deliver presentations describing experimental results and recommendations to business partners. Prepare dashboards providing daily monitoring of test results. Build machine learning models for predicting key outcomes used to inform marketing tactics across digital acquisition and user journey orchestration Work closely with engineering to productionize and monitor model performance Represent Commercial Analytics capabilities and data-driven insights within cross-functional teams to help achieve business objectives Develop complex SQL queries combining data from a wide variety of sources in preparation of feature engineering and test analysis Create custom Python libraries available for team use to automate key methods. Examples include statistical methods for timing/sizing experimental design, verifying test populations are unbiased and matched-market test design. Types of projects you’ll be working on:
Test onboarding/engagement/retention campaign attributes across email, push and in-app messaging. Attributes include segmentation, offer, messaging, creative, frequency and cadence. Develop machine learning models to predict retention at various stages in the user lifecycle. Incorporate predictions into test results to optimize marketing tactics by segment and present feature importance to business stakeholders. Measure incrementality of paid media campaigns using matched market testing. Develop forecasting tools for business metrics using machine learning.
Associate Director - Commercial Analytics Qualifications: 5+ years of experience as a Data Scientist. Master’s degree in Data Science, Statistics, Engineering, Mathematics, or Computer Science. Project management experience preferred. Experience working within an advertising agency or creative environment preferred. Experience with cloud technologies. Understanding or experience working within an enterprise data warehouse environment (including SQL, procedural SQL, and ETL). Capability to build, tune and explain machine learning models for supervised and unsupervised learning. Methods include, but are not limited to, regression, clustering and ensemble methods. Understanding of statistical concepts, lift analysis and A/B testing fundamentals. Excellent programming skills in Python. Ability to produce data visualizations for explaining technical concepts. Familiarity with business intelligence dashboards. Excellent time management skills, with the ability to prioritize, multi-task and work under shifting deadlines in a fast-paced environment. Strong attention to detail. Willingness to take initiative and to follow through on projects. Familiar with marketing communications strategy and processes, including online media, application development and web site development. Strong interpersonal capabilities and excellent verbal and written communication skills. Well-organized, detail-oriented, energetic, independent and responsive to feedback. Spelling, grammar, proofreading and editing skills.
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