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Behavioral Data Science Jobs in Dallas, TX (NOW HIRING)

JP Morgan Chase

WFP Senior Data Scientist

Plano, TX · On-site

... behavior, and limitations beyond empirical validation. * Proficient in data science programming languages like Python, R or Scala. * Experience with big-data technologies such as Hadoop, Spark ...

Codvo.ai

Data Scientist (Dallas)

Dallas, TX · On-site

... not data science jargon. Responsibilities Discovery & Baseline (Weeks 1-2) * Conduct the BMS ... Ability to explain model behavior to non-technical maintenance engineers - "the model flagged this ...

Photon

AI/ML Data Scientist

Dallas, TX · On-site

Bachelor s or master s degree in Data Science, Statistics, Mathematics, Computer Science ... Experience explaining model behavior using techniques such as feature importance, partial ...

Yum Brands

Sr. Data Scientist

Plano, TX · On-site

$117K - $132K/yr

Required Experience & Skills * 5+ years of experience in data science, advanced analytics, or a ... behavior, business performance, and strategic opportunities - creating or significantly improving ...

New

Pizza Hut

Sr. Data Scientist

Plano, TX

$117K - $132K/yr

Required Experience & Skills * 5+ years of experience in data science, advanced analytics, or a ... behavior, business performance, and strategic opportunities - creating or significantly improving ...

New

Pyramid Consulting, Inc

Data Scientist

Plano, TX · On-site

... Scientist for a 12+ months contract opportunity. The role involves collaborating with business ... behavior data to determine key customer insights, drive business strategies and maximize ROI. • ...

Select Minds LLC

Sr Data Scientist GenAI

Dallas, TX · On-site

$150K - $210K/yr

Must-Have Qualifications: - 10+ years of experience in data science / ML, with substantial work in ... Ability to reason about model behaviour, bias, uncertainty. - Good communicator: able to translate ...

Yum

Sr. Data Scientist

Plano, TX · On-site

... behavior, business performance, and strategic opportunities - creating or significantly improving ... Required Experience & Skills * 5+ years of experience in data science, advanced analytics, or a ...

New

Pizza Hut

Sr. Data Scientist

Plano, TX · On-site

... behavior, business performance, and strategic opportunities - creating or significantly improving ... Required Experience & Skills * 5+ years of experience in data science, advanced analytics, or a ...

New

J.P. Morgan

Data Scientist Senior Associate

Plano, TX · On-site

... in AI/ML, data science, or related fields. * Strong background in analyzing and translating digital customer behavior data into actionable insights and recommendations for Business leaders.

Select Minds LLC

Sr Data Scientist GenAI

Dallas, TX · On-site +1

$150K - $210K/yr

Must-Have Qualifications: - 10+ years of experience in data science / ML, with substantial work in ... Ability to reason about model behaviour, bias, uncertainty. - Good communicator: able to translate ...

Lendistry

Data Scientist I

Dallas, TX · On-site

Mine internal and external datasets to surface actionable insights into customer behavior, usage ... Partner with engineering, product, and business teams to align data science solutions with ...

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All JobsBehavioral Data Science JobsBehavioral Data Science Jobs in Dallas, TX

Behavioral Data Science information

See Dallas, TX salary details

$23.7K

$106K

$197.4K

How much do behavioral data science jobs pay per year?

As of Aug 8, 2026, the average yearly pay for behavioral data science in Dallas, TX is $105,957.00, according to ZipRecruiter salary data. Most workers in this role earn between $60,687.00 and $144,070.00 per year, depending on experience, location, and employer.

What can I do with a behavioral data science degree?

A behavioral data science degree prepares individuals for roles such as data analyst, behavioral scientist, or user experience researcher, focusing on analyzing human behavior through data. Graduates often work with statistical tools, programming languages like Python or R, and data visualization software to inform decision-making in marketing, product development, or healthcare. These roles typically require strong analytical skills and understanding of psychological or social science principles.

What does a behavioral data scientist do?

A behavioral data scientist analyzes data related to human behavior to identify patterns and insights that can inform decision-making. They use statistical methods, machine learning, and data visualization tools to interpret complex datasets and often work with psychology, marketing, or product teams to improve user engagement and outcomes.

What is behavioral data science?

A Behavioral Data Science job focuses on analyzing human behavior using data-driven techniques from psychology, economics, and machine learning. Professionals in this field work with large datasets to understand, predict, and influence decision-making patterns. They apply statistical models, AI, and behavioral theories to areas like marketing, finance, healthcare, and policy-making. The role typically involves data collection, analysis, and interpretation to optimize user experiences and business strategies.

What types of projects or problems do behavioral data scientists typically work on?

Behavioral Data Scientists often tackle projects that involve analyzing patterns in user behavior, identifying factors that drive engagement, or developing predictive models related to decision-making. They may work on optimizing customer experiences, evaluating the effectiveness of behavioral interventions, or supporting product teams with data-driven insights. The role frequently involves collaborating with psychologists, UX researchers, and business strategists to integrate behavioral data into broader company goals. This work requires both technical analysis and the ability to communicate findings to diverse stakeholders.

Is behavioral data science in high demand?

Behavioral data science is in high demand as organizations seek to understand human behavior through data analysis, machine learning, and statistical modeling. Professionals with skills in programming, data visualization, and behavioral psychology are especially sought after across industries such as marketing, healthcare, and finance.

What are the key skills and qualifications needed to thrive in behavioral data science, and why are they important?

To thrive as a Behavioral Data Scientist, you need expertise in behavioral science, statistics, and data analysis, typically backed by an advanced degree in psychology, data science, or a related field. Familiarity with tools like Python, R, SQL, and data visualization platforms, as well as certifications in data analytics, is highly valued. Strong critical thinking, communication, and collaboration skills help you interpret complex data patterns and translate them into actionable insights. These abilities are crucial for effectively analyzing human behavior data and driving organizational decision-making.

What are the most commonly searched types of Behavioral Data Science jobs in Dallas, TX? The most popular types of Behavioral Data Science jobs in Dallas, TX are:
What are popular job titles related to Behavioral Data Science jobs in Dallas, TX? For Behavioral Data Science jobs in Dallas, TX, the most frequently searched job titles are:
What job categories do people searching Behavioral Data Science jobs in Dallas, TX look for? The top searched job categories for Behavioral Data Science jobs in Dallas, TX are:
What cities near Dallas, TX are hiring for Behavioral Data Science jobs? Cities near Dallas, TX with the most Behavioral Data Science job openings:
Behavioral Data Science jobs near you
Infographic showing various Behavioral Data Science job openings in Dallas, TX as of August 2026, with employment types broken down into 43% Full Time, and 57% Part Time. Highlights an 100% In-person job distribution, with an average salary of $105,957 per year, or $50.9 per hour.

Data Analytics Lead - Data Scientist - Vice President - C13 - TAMPA

Citigroup, Inc.

Irving, TX • On-site

$125K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 23 days ago

Citibank rating

8.3

Company rating: 8.3 out of 10

Based on 177 frontline employees who took The Breakroom Quiz

39th of 170 rated banks

Job description

The Apps Dev Tech Lead analyst is a strategic professional who stays abreast of developments within own field and contributes to directional strategy by considering their application in own job and the business. Recognized technical authority for an area within the business. Requires basic commercial awareness. There are typically multiple people within the business that provide the same level of subject matter expertise. Developed communication and diplomacy skills are required in order to guide, influence and convince others, in particular colleagues in other areas and occasional external customers. Significant impact on the area through complex deliverables. Provides advice and counsel related to the technology or operations of the business. Work impacts an entire area, which eventually affects the overall performance and effectiveness of the sub-function/job family.
Responsibilities:
  • Integrates subject matter and industry expertise within a defined area.
  • Contributes to data analytics standards around which others will operate.
  • Applies in-depth understanding of how data analytics collectively integrate within the sub-function as well as coordinate and contribute to the objectives of the entire function.
  • Employs developed communication and diplomacy skills are required in order to guide, influence and convince others, in particular colleagues in other areas and occasional external customers.
  • Resolves occasionally complex and highly variable issues.
  • Produces detailed analysis of issues where the best course of action is not evident from the information available, but actions must be recommended/ taken.
  • Responsible for volume, quality, timeliness and delivery of data science projects along with short-term planning resource planning.
  • Appropriately assess risk when business decisions are made, demonstrating particular consideration for the firm's reputation and safeguarding Citigroup, its clients and assets, by driving compliance with applicable laws, rules and regulations, adhering to Policy, applying sound ethical judgment regarding personal behavior, conduct and business practices, and escalating, managing and reporting control issues with transparency.
  • Lead the design and execution of complex data analysis and AI/ML initiatives across large, structured, and unstructured datasets.
  • Develop and deploy predictive, classification, clustering, and forecasting models to support business strategy and risk management.
  • Partner with business stakeholders to translate requirements into analytical and machine learning solutions.
  • Design and implement feature engineering pipelines and model evaluation frameworks.
  • Collaborate with Data Engineering teams to ensure scalable data pipelines and ML-ready datasets.
  • Operationalize machine learning models through production deployment and monitoring (MLOps practices).
  • Analyze trends, anomalies, and behavioral patterns using statistical and machine learning techniques.
  • Ensure model governance, explainability, fairness, and compliance with regulatory requirements.
  • Automate analytics workflows and implement scalable AI-driven solutions.
  • Present analytical findings and model insights to senior leadership and cross-functional teams.
  • Mentor junior analysts and data scientists on advanced analytics and ML best practices.
  • Drive continuous improvement in analytical methodologies, model performance, and reporting standards.
  • Influence strategic decisions through data science and AI-powered insights.
  • Manage multiple priorities in a fast-paced, highly regulated environment.

Qualifications:
  • 10-15 years of relevant experience in Data Analytics, Data Science, or Advanced Analytics roles.
  • Advanced proficiency in SQL and relational database concepts.
  • Strong programming experience in Python (required); PySpark preferred.
  • Hands-on experience building and deploying machine learning models (supervised and unsupervised).
  • Experience with ML libraries such as scikit-learn, XGBoost, TensorFlow, or PyTorch.
  • Strong knowledge of statistical modeling, feature engineering, and model validation techniques.
  • Experience with BI tools such as Tableau or Power BI.
  • Familiarity with MLOps practices (model deployment, monitoring, versioning) is strongly preferred.
  • Experience working with large-scale enterprise or financial datasets.
  • Understanding of data warehousing, ETL, and big data ecosystems.
  • Strong problem-solving, analytical thinking, and stakeholder management skills.
  • Proven ability to communicate complex AI/ML insights to non-technical audiences.
  • Experience in banking or financial services preferred.

Education:
  • Bachelor's/University degree or equivalent experience, potentially Masters degree
  • Master's degree or specialization in AI/ML/Data Science preferred.

Job Family Group:
Technology
Job Family:
Applications Development
Time Type:
Full time
Primary Location:
Irving Texas United States
Primary Location Full Time Salary Range:
$125,760.00 - $188,640.00
In addition to salary, Citi's offerings may also include, for eligible employees, discretionary and formulaic incentive and retention awards. Citi offers competitive employee benefits, including: medical, dental & vision coverage; 401(k); life, accident, and disability insurance; and wellness programs. Citi also offers paid time off packages, including planned time off (vacation), unplanned time off (sick leave), and paid holidays. For additional information regarding Citi employee benefits, please visit citibenefits.com. Available offerings may vary by jurisdiction, job level, and date of hire.
Most Relevant Skills
Please see the requirements listed above.
Other Relevant Skills
For complementary skills, please see above and/or contact the recruiter.
Anticipated Posting Close Date:
Jul 23, 2026
Automated Processing and AI
We use automated processing, including artificial intelligence, for our legitimate business interests (or our reasonable and appropriate business purposes) to identify and align the candidate's skills and abilities with a specific job opening. Additionally, if you so choose, or consent, we can match your skills and abilities to other suitable roles at Citi.
Importantly, all our hiring processes and decisions, including determining your suitability for a role, are conducted, checked, and decided by individuals. Our automated processing and AI do not involve relying on automatic or autonomous decision-making. Please refer to any Jurisdictional Considerations, with specific provisions for your country (where relevant) for further details.
Illinois residents - AI Notice and Right
Citi is an equal opportunity employer, and qualified candidates will receive consideration without regard to their race, color, religion, sex, sexual orientation, gender identity, national origin, disability, status as a protected veteran, or any other characteristic protected by law.
If you are a person with a disability and need a reasonable accommodation to use our search tools and/or apply for a career opportunity review Accessibility at Citi.
View Citi's EEO Policy Statement and the Know Your Rights poster.

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About Citigroup Inc

Sourced by ZipRecruiter

We live in an increasingly complex world. Companies these days are either born global or are going global at record speed. Business and geopolitics are forging an entirely new dynamic and consumers now expect financial services to be a seamless part of their digital lives. Citi is a bank that’s uniquely positioned for this moment. Through our vast global network and our on-the-ground expertise, we can connect the dots, anticipate change and empathize the needs of our clients and customers in ways that other banks simply cannot. Citi's mission is to serve as a trusted partner to our clients by responsibly providing financial services that enable growth and economic progress. We have set expectations for how we must act to bring our mission to life. These expectations are at the heart of our Leadership Principles – we take ownership, we deliver with pride and we succeed together.

Industry

Banking and credit intermediation

Company size

5,001 - 10,000 Employees

Headquarters location

New York City, NY, US

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