Data Modeling Scientist
Dallas, Texas
Job Description:
About AT&T
At AT&T we’re redefining the future of connectivity. At our core is a passion to serve our customers with products and services that create connections, improve lives and allow millions to share the stories and experiences that matter. Our Corporate teams are fueled by innovation and a desire to connect the world in meaningful ways. Join our team and bring your bold ideas, supporting and transforming our business across areas like marketing, finance and more.
About the Marketing & Growth Organization
The Marketing & Growth Organization is AT&T’s marketing engine, responsible for driving sustainable growth by deeply understanding and championing our customers, captivating them with compelling products, services and experiences; and building a culturally relevant and beloved brand. We pride ourselves in continuously striving to embody expertise, simplicity and inspiration in everything we do.
Overall Purpose: Translate business problems into actionable insights through a comprehensive workflow involving coding, data extraction, cleansing, feature engineering, exploratory data analysis, model creation and tuning, visualization, and deployment, leveraging statistical analysis, machine learning, and big data technologies to drive informed decision-making and innovation.
Key Roles and Responsibilities:
1. Data Extraction and Preparation
- Purpose: Collect and prepare marketing data to uncover actionable insights.
- Tasks:
- Gather data from various structured and unstructured sources, such as customer databases, CRM systems, social media platforms, and marketing analytics tools.
- Work with datalakes, cloud platforms, or external/internal marketing data sources to ensure data consistency and quality.
- Preprocess data to handle missing values, inconsistencies, and outliers, ensuring clean datasets for campaign analysis and audience segmentation.
2. Modeling and Insights Generation
- Marketing Analytics and Predictive Modeling:
- Build Bayesian statistical models to assess campaign performance, predict customer behaviors, and quantify ROI uncertainty.
- Develop custom Bayesian models using probabilistic programming languages (e.g., Stan, PyMC3) to answer complex marketing questions, such as customer lifetime value (CLV) or churn prediction.
- Conduct Bayesian inference to estimate model parameters, forecast campaign outcomes, and optimize resource allocation across marketing channels.
- Analyze model fit and perform diagnostics to ensure robust predictions that align with marketing goals.
- Collaborate with cross-functional teams (e.g., sales, product, and operations) to integrate Bayesian insights into marketing decision-making.
- AI-Powered Marketing Solutions:
- Leverage machine learning models to personalize marketing campaigns, improve audience targeting, and enhance customer experiences.
- Build AI solutions for recommendation systems, dynamic pricing, sentiment analysis, and ad performance optimization.
- Utilize NLP to analyze customer feedback, reviews, and social media sentiment, driving content strategy and engagement.
- Apply computer vision techniques to optimize visual content for campaigns (e.g., image recognition for social media ads).
- Test, deploy, and maintain AI systems to ensure they align with marketing workflows and business goals.
- Stay updated on the latest AI and machine learning trends to suggest improvements to marketing systems and strategies.
3. Communication
- Purpose: Translate technical insights into actionable marketing strategies.
- Tasks:
- Clearly communicate complex statistical concepts and findings to marketing teams, stakeholders, and executive leadership.
- Present insights visually using tools like Tableau, PowerBI, or Python libraries (e.g., matplotlib, seaborn) to make data-driven recommendations accessible to non-technical audiences.
- Work closely with marketers to ensure that data insights directly inform campaign strategy, budget allocation, and audience segmentation.
Requirements and skills
Educational Background:
- Degree in Marketing Analytics, Statistics, Computer Science, Engineering, or a related field.
- A strong academic foundation in data science and AI, with applications to marketing.
Technical Skills:
Marketing Analytics Tools:
- SQL: Query and manipulate marketing databases.
- Palantir: Work with data integration and analysis platforms for marketing insights.
- Python: Analyze marketing data, automate workflows, and build predictive models.
- Tableau/PowerBI: Visualize campaign performance metrics and audience insights.
- Snowflake: Manage cloud-based marketing data warehouses.
Machine Learning and AI for Marketing:
- Experience with deep learning, NLP, and computer vision for marketing applications.
- Proficiency in AI frameworks like TensorFlow or PyTorch.
Programming:
- Advanced proficiency in Python for modeling and automation.
- Familiarity with Java and R for additional analytics tasks.
Bayesian Statistics:
- Expertise in probabilistic programming languages (e.g., Stan, PyMC3).
- Strong foundation in statistical modeling for marketing analysis.
Job Contribution: An expert in their field, applying broad business knowledge and strategic insight surrounding emerging trends and technologies to solve complex problems and drive organizational results. Leads critical, high-impact projects and designs/implements innovative business strategies. Works with minimal oversight, frequently consulting senior leadership and influencing executive decisions. Serves as a mentor and assists others with challenging issues.
Supervisor: No
Work Schedule: This position requires office presence of a minimum of 5 days per week and is only located in the location(s) posted. No relocation is offered
Work Location: Dallas, TX
Education/Experience: Master's degree (MS/MA) required from an accredited University in a Quantitative field of study such as Data Science, Math, Statistics, Engineering or Physics. 7+ years of related experience. Certification is required in some areas.
Our Principal Data Scientist earn between $180,200 - $270,400 USD Annual. Not to mention all the other amazing rewards that working at AT&T offers. From health insurance to tuition reimbursement and paid time off to discounts on products and services just to name a few. There is a lot to be excited about around here. Individual starting salary within this range may depend on geography, experience, expertise, and education/training.
Joining our team comes with amazing perks and benefits:
- Medical/Dental/Vision coverage
- 401(k) plan
- Tuition reimbursement program
- Paid Time Off and Holidays (based on date of hire, at least 23 days of vacation each year and 9 company-designated holidays)
- Paid Parental Leave
- Paid Caregiver Leave
- Additional sick leave beyond what state and local law require may be available but is unprotected
- Adoption Reimbursement
- Disability Benefits (short term and long term)
- Life and Accidental Death Insurance
- Supplemental benefit programs: critical illness/accident hospital indemnity/group legal
- Employee Assistance Programs (EAP)
- Extensive employee wellness programs
- Employee discounts up to 50% off on eligible AT&T mobility plans and accessories, AT&T internet (and fiber where available) and AT&T phone
A career with us, a global leader in communications and technology, comes with big rewards. As part of our team, you’ll lead transformation surrounded by trailblazing industry leaders like you. You’ll be empowered to go above and beyond – making a difference through company-sponsored initiatives or connecting and networking through one of our many employee groups. And regardless of where you’re at in your career trajectory, you’ll be rewarded by the impact that comes with making a difference in the lives of millions.
With AT&T, you’ll be a part of something greater, do incredible things and be rewarded with a chance to change the world.
AT&T will consider for employment qualified applicants in a manner consistent with the requirements of federal, State, and local laws.
Ready to close the deal on a career with AT&T?
Apply today.
Weekly Hours:
40Time Type:
RegularLocation:
Dallas, TexasSalary Range:
$180,200.00 - $270,400.00It is the policy of AT&T to provide equal employment opportunity (EEO) to all persons regardless of age, color, national origin, citizenship status, physical or mental disability, race, religion, creed, gender, sex, sexual orientation, gender identity and/or expression, genetic information, marital status, status with regard to public assistance, veteran status, or any other characteristic protected by federal, state or local law. In addition, AT&T will provide reasonable accommodations for qualified individuals with disabilities. AT&T is a fair chance employer and does not initiate a background check until an offer is made.
Job ID R-59345 Date posted 04/29/2025
Benefits
Your needs? Met. Your wants? Considered. Take a look at our comprehensive benefits.
- Paid Time Off
- Tuition Assistance
- Insurance Options
- Discounts
- Training & Development
Our hiring process
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