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Senior Data Scientist

Dallas, Texas

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insight

Analyze data sets of millions of customers - and uncover groundbreaking solutions that have a global impact.

"You get to work on multi-million dollar projects from day one using the latest technology, and there are many training opportunities if you want to learn something new."

Sang Han — Senior Data Scientist

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AT&T’s Marketing Enablement Technology & Analytics organization is committed to driving individual product excellence, while accelerating our multi-product household base.

You already know what this will say, because Machine Learning and Predictive Analytics is your thing!

You know the value of anticipating customer behavior – will they stay, will they go, will they buy more – is what enables a business to allocate resources efficiently, and creating a crystal ball to predict the future is what inspires you.   You know to use ML creatively to analyze business trends and identify anomalies to produce actionable insights.

More data is no problem here… millions of customer relationships across multiple products yields a data playground measured in terabytes, and you’ve got ‘been there, done that’ experience. You’re a technique chameleon, evolving your toolset and modeling approaches to wring out the last drops of performance possible to maximize your impact on the business. And your endgame is a suite of machine learning models that could do this work for you!

What you get to do:
Utilize ML to analyze market and customers actions, detecting anomalies to drive business strategy and tactics.  Predict the next actions of every consumer doing business with AT&T!

Preferred locations are Dallas, TX; Atlanta, GA or El Segundo, CA.  Other locations may be considered.

As part of the Predictive Analytics and Customer Valuation team, you’ll focus on how customers and prospects can deliver optimum value for the business.  From purchase to retention, from upsell to cross-sell, and for all spaces in between, you’ll get to build Predictive Models that anticipate outcomes. Beyond building laser-accurate models, you’ll be an advocate for your work by partnering with clients to convey the drivers influencing those outcomes, and the behaviors and characteristics of those likely to act – or not. You’ll challenge the conventional approach of building a model and simply rescoring it each month, employing new machine learning techniques for real-time scoring and automated calibration. 

Details:

  • Build anomaly detection algorithms to automatically identify strategic and tactical opportunities
  • Build out customer-level propensity models to fuel acquisition, cross-sell/up-sell, retention strategy
  • Build marketing offer models to determine optimal decisioning hierarchy, presenting customers with best offers
  • Identify key segments / clusters of customers who will act – and those who won’t – and learn what drives the difference… and how to create opportunities from these learnings 
  • Work closely with pricing, marketing, credit & collections, finance, and retention to improve their ability to acquire, serve, and retain every customer household while maintaining profitability for our shareholders
  • You’ll have the opportunity to grow your personal brand across several organizations as the expert on customer value.  

Qualifications:

  • 5-8 years in advanced analytics field
  • 2+ years in predictive modeling, including buy, churn, and upsell/cross-sell
  • 2-3 years in Python and R
  • Experience in Machine Learning techniques beyond linear regression
  • Advanced SQL experience
  • Master’s degree or advanced coursework in Analytics, Statistics, Computer Science, or Mathematics
  • Additional experience with survival modeling will be a huge advantage
  • Ability to translate complex analysis into simplified actionable insights preferred
  • Experience in business analysis and marketing strategy preferred

Ready to join our team? Apply today!




Job ID 2150029 Date posted 11/29/2021
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