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Data Scientist Risk Jobs in Dallas, TX (NOW HIRING)

ADT

Data Scientist

Irving, TX · On-site

Summary: The Data Scientist, Marketing Analytics serves as a core analytical authority on ADT ... risk. * Attribution & Mix Modeling: Support the development of Marketing Mix Modeling (MMM) and ...

ADT Security Services

Data Scientist

Irving, TX · Remote

Summary: The Data Scientist, Marketing Analytics serves as a core analytical authority on ADT ... risk. * Attribution & Mix Modeling: Support the development of Marketing Mix Modeling (MMM) and ...

New

Elevance Health

Data Scientist

Grand Prairie, TX · Hybrid

Data Scientist Location: This role requires associates to be in-office 1-2 days per week, fostering ... Leads development and execution of risk assessment methodologies to fit business, regulatory, and ...

Kemper

Data Scientist

Dallas, TX · On-site +1

Data Science is a driver of significant competitive advantage for Kemper and is critical to the ... Prior experience in insurance, financial services, pricing, risk modeling, or a related analytical ...

PROLIM Global Corporation

Data Scientist

Dallas, TX · On-site

Data Scientist Remote Contract JD: Python Fast API Engineer (ML + Risk Modeling) "Strong hands-on experience with Python and Fast API (building production REST services). Experience serving or ...

Vytwo

Data Scientist - INDIA

Prosper, TX · On-site

Develop cost estimation and risk/likelihood models using statistical and ML techniques. Text Data ... Core Data Science Engineering & MLOps * Work in Databricks for ETL, feature engineering, ML ...

Lendistry

Data Scientist I

Dallas, TX · On-site

Additionally, the Data Scientist will help shape business strategy and product development ... This is an exciting role for someone to make a direct impact on risk, product and revenue strategy ...

USAA

Data Scientist Senior

Plano, TX · On-site

Develops and deploys models within the Model Development Control (MDC) and Model Risk Management ... Serves as a mentor to junior data scientists in modeling, analytics, and computer science tasks.

USAA

Data Scientist Senior

Plano, TX · On-site

Develops and deploys models within the Model Development Control (MDC) and Model Risk Management ... Serves as a mentor to junior data scientists in modeling, analytics, and computer science tasks.

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All JobsData Scientist Risk JobsData Scientist Risk Jobs in Dallas, TX

Data Scientist Risk information

See Dallas, TX salary details

$37.1K

$121.4K

$194.4K

How much do data scientist risk jobs pay per year?

As of Aug 30, 2026, the average yearly pay for data scientist risk in Dallas, TX is $121,417.00, according to ZipRecruiter salary data. Most workers in this role earn between $97,400.00 and $134,500.00 per year, depending on experience, location, and employer.

What is a data scientist risk?

A Data Scientist Risk job involves using data analysis, machine learning, and statistical modeling to assess and mitigate financial, credit, or operational risks. These professionals work with large datasets to identify patterns, detect anomalies, and build predictive models that help organizations make informed decisions. They collaborate with risk management teams and stakeholders to develop strategies for minimizing potential losses while ensuring regulatory compliance. Strong analytical skills, proficiency in programming languages like Python or R, and knowledge of risk modeling techniques are essential for this role.

What types of projects or problems does a data scientist risk typically work on?

Data Scientist Risk professionals typically work on projects involving risk assessment, fraud detection, credit scoring, market risk analysis, and regulatory compliance. Their day-to-day responsibilities often include analyzing large datasets to identify patterns, building predictive models, and presenting insights to risk managers or executives to support risk mitigation strategies. You'll often collaborate with cross-functional teams including finance, IT, and compliance to develop innovative risk solutions and improve organizational decision-making. The work environment is dynamic and intellectually challenging, offering opportunities to continuously learn and make an impact in critical business areas.

What are the key skills and qualifications needed to thrive as a data scientist risk?

To excel as a Data Scientist Risk, you need strong analytical skills, advanced knowledge of statistics, programming (typically in Python or R), and a relevant degree such as mathematics, finance, or data science. Familiarity with machine learning libraries, data visualization tools, and risk modeling software like SAS or SQL is commonly required, and certifications such as FRM or CFA are advantageous. Excellent problem-solving, critical thinking, and clear communication abilities are vital for interpreting complex data and presenting actionable insights to stakeholders. These competencies are crucial for accurately assessing risk, supporting decision-making, and ensuring regulatory compliance in fast-paced business environments.

What are the most commonly searched types of Data Scientist Risk jobs in Dallas, TX?

The most popular types of Data Scientist Risk jobs in Dallas, TX are:

What are popular job titles related to Data Scientist Risk jobs in Dallas, TX?

For Data Scientist Risk jobs in Dallas, TX, the most frequently searched job titles are:

What job categories do people searching Data Scientist Risk jobs in Dallas, TX look for?

The top searched job categories for Data Scientist Risk jobs in Dallas, TX are:

Data Scientist Risk jobs near you
Infographic showing various Data Scientist Risk job openings in Dallas, TX as of August 2026, with employment types broken down into 1% As Needed, 85% Full Time, 11% Part Time, and 3% Contract. Highlights an 85% Physical, 4% Hybrid, and 11% Remote job distribution, with an average salary of $121,417 per year, or $58.4 per hour.

Data Scientist

ADT

Irving, TX • On-site

Full-time

This job post has expired 1 day ago. Applications are no longer accepted.

ADT rating

7.0

Company rating: 7.0 out of 10

Based on 139 frontline employees who took The Breakroom Quiz

44th of 118 rated security

Job description


Summary:
The Data Scientist, Marketing Analytics serves as a core analytical authority on ADT's marketing efforts, translating complex customer, campaign, and media data into high-value, predictive, and actionable insights. This role bridges the gap between advanced data science and strategic marketing operations, working with stakeholders to solve critical business problems like predicting high-value customer acquisitions, optimizing media spend, and supporting our company's growth, customer lifetime value (LTV), and digital personalization objectives.
The ideal candidate combines strong technical capabilities in machine learning, statistical modeling, and data engineering with an understanding of consumer behavior, marketing technology (MarTech), and executive storytelling. They will work alongside the Marketing Analytics Leader, data analysts, data engineers, and channel managers to build scalable, evidence-based solutions that directly influence ADT's customer acquisition and retention strategies.
Duties and Responsibilities:
  • Predictive Growth Modeling: Apply advanced statistical methods, machine learning (e.g., classification, survival analysis), and clustering to predict customer lifetime value (LTV), model acquisition propensity, and identify customer churn risk.
  • Attribution & Mix Modeling: Support the development of Marketing Mix Modeling (MMM) and multi-touch attribution (MTA) frameworks to help business leaders understand and act on marketing efficiency issues.
  • Campaign Experimentation: Design and execute evidence-based research and scientific hypothesis testing (A/B and multivariate testing) around digital marketing campaigns, creative assets, and landing page personalization.
  • Executive Data Storytelling: Translate highly complex statistical findings into clear, beautiful, and intuitive visualizations and compelling narratives that drive strategy, action, and decision-making at executive levels.
  • Data Engineering & Pipelines: Collaborate with data platform and engineering teams to design, implement, and maintain robust data pipelines that integrate ad-platform APIs, web analytics, and offline sales data into a continuous, single-source-of-truth.
  • Privacy & Compliance: Implement and champion rigorous data privacy standards and ethical data collection practices, navigating how to effectively target and optimize campaigns while respecting consumer privacy regulations (e.g., CCPA/CPRA, cookie changes).
  • Cross-Functional Collaboration: Partner directly with Brand, Digital Media, Demand Gen, and Product Marketing teams to frame vague marketing challenges into structured, measurable data science initiatives.
  • Continuous Improvement: Stay current on evolving marketing technology trends, MLOps best practices, and innovative data sources to elevate ADT's analytical maturity from descriptive reporting to prescriptive action.
  • Customer Segmentation: Experience creating and defining customer personas and segmentation to deliver personalized experiences throughout the customer lifecycle.

Minimum Qualifications:
  • Education: Bachelor's degree (or equivalent experience) in Analytics, Computer Science, Statistics, Mathematics, Economics, or a related highly quantitative field. (Master's degree preferred).
  • Experience: 3+ years of directly applicable experience in data science, predictive modeling, and building end-to-end data pipelines within a marketing or customer acquisition context.
  • Technical Proficiency:
    • Advanced proficiency in (Python with deep experience in data modeling packages.
    • Advanced SQL skills and experience manipulating high-dimensional consumer datasets.
    • Proficiency using Vertex AI/Colab notebooks.
  • Domain Knowledge: Solid understanding of digital marketing channels (Paid Search, Paid Social, Programmatic), web analytics platforms (e.g., Google Analytics, Adobe Analytics), and MarTech/AdTech ecosystems.
  • Ambiguity Management: Proven ability to navigate dynamic, fast-paced, and entrepreneurial environments with ambiguous or evolving project requirements.
  • Familiarity with Customer Data Platforms (CDP) in supporting no code/low code Marketer driven target audiences.

Communication Skills:
  • Writing, Talking/Hearing on the phone (Continually=67-100% of workday)

Environment Requirements:
  • Remote/Home office (Continually=67-100% of the workday)

Travel:
  • Occasionally, less than 25%

What ADT employees say

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About ADT

Sourced by ZipRecruiter

At ADT Commercial, we are in the business of helping people and organizations to protect what matters most to them. Building upon ADT's 145-year legacy, we secure the livelihoods and futures of critical commercial environments, retail location, educational campuses, healthcare facilities and financial institutions across the U.S. as an industry-leading security, fire and life safety systems integrator. We strive to have the most experienced and technically trained and talented teams in the industry, driven by excellence at every turn. At ADT Commercial, we truly believe that our people are the difference - for our organization, the customers we serve and the communities we protect. When you're a part of ADT Commercial, you'll have the opportunity to be a part of that difference every day. With more than 300 locations, a deep national presence, and comprehensive portfolio of solutions and services, our employees are always poised for career advancement and growth. For more information, visit www.adtcommercial.com or follow us on LinkedIn and Facebook.

Industry

Personal services

Company size

10,000+ Employees

Headquarters location

Boca Raton, FL, US

Year founded

1874

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