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About TSR:

TSR is a relationship-based, customer-focused IT and technical services staffing company.

For over 40 years TSR, Inc. and its wholly owned subsidiary, TSR Consulting Services, have prospered in the Information Technology staffing business, earning the respect of companies both large and small with well refined candidate screening, timely placement, and a real understanding of the right skill sets required by our clients.

Mission & Vision

We do not believe in building a vision around the company but building a company around our vision, which is simply;

Every employee’s voice matters, their effort is appreciated, and their talent is rewarded.

We challenge each employee daily, to raise the bar on how we treat our consultants and candidates. For far too long in this industry, candidates have been ghosted, lied to, or placed at a client and then forgotten about. Each day our staff works tirelessly at qualifying and placing, top talent with our clients, in a compassionate and caring manner.

Not every candidate is a match for the job, but every candidate and consultant will be treated with respect and professionalism.

Data/Analytics – Director, Commercial Analytics

Job Description

  • Location: Washington, District Of Columbia
  • Type: Contract
  • Job #81403

Our client, a leading broadcasting company, is hiring a Data Analyst on a contract basis.
Job ID #: 81403

Work Location:
Washington D.C.

Summary:
The client is looking for a candidate to join our Commercial Analytics team. 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 lifecycle. A keen interest in using analytics and data science to optimize digital media and conversion is critical.

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

Required Qualifications:
• Master’s degree in Data Science, Statistics, Engineering, Mathematics, or Computer Science
• 5 or more years of experience as a Data Scientist
• Excellent programming skills in Python
• 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
• Ability to produce data visualizations for explaining technical concepts
• Experience with cloud technologies
• 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
• Project management experience preferred
• Experience working within an advertising agency or creative environment preferred
• 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
• Perform other duties as assigned
• Must have legal right to work in the U.S.

Pay Range: $100- $125/hour

 

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