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Behavioral Data Science Jobs in Texas (NOW HIRING)

... 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 ...

... 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 ...

Responsibilities : • Analyze large, complex data sets containing the behaviour of millions of ... Science). • Strong problem-solving skills, ability to formulate questions, run analysis to ...

... customer behavior, risk analysis, fraud detection, churn, loan performance, and campaign ... science, analytics, data analysis, or related roles Strong SQL skills for querying, joining ...

... client behavior and retention. Marketing Measurement * Utilize advanced analytics to quantify ... Manager, Data Science & Analytics (individual contributor role) for its ZX Activation division.

Responsibilities : • Serve as the embedded product data science partner for a cross-functional ... behavior across the funnel and uncover non-obvious opportunities; conduct ad hoc analyses and ...

New

About this role In Gartner's Services Data Science team, we innovate the way our team helps clients ... behavior modeling Who you are * A team player. You get along well with your colleagues and are ...

Analyze large, complex data sets containing the behaviour of millions of mobile users and Apps ... Science). * Strong problem-solving skills, ability to formulate questions, run analysis to ...

About this role In Gartner's Services Data Science team, we innovate the way our team helps clients ... User behavior modeling Who you are A team player. You get along well with your colleagues and are ...

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 ...

Typically requires a degree in Science, Technology, Engineering or Mathematics (STEM) disciplineand ... Our values drive our actions, behaviors, and performance with a vision for a safer, more connected ...

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Behavioral Data Science information

Is behavioral science a good career?

Behavioral Data Science is a growing field that combines psychology, data analysis, and statistical skills to understand human behavior. It offers opportunities in research, consulting, and technology sectors, often requiring proficiency in programming tools like Python or R. The career can be rewarding for those interested in applying scientific methods to real-world problems and typically involves continuous learning and interdisciplinary collaboration.

What careers use behavioral science?

Behavioral science is used in careers such as behavioral data scientist, marketing analyst, user experience researcher, and policy advisor. These roles involve applying psychological and behavioral principles to understand and influence human behavior, often utilizing data analysis tools and research methods. Professionals in these fields work across industries like technology, healthcare, finance, and government to improve products, services, and policies.

What is a Behavioral Data Science job?

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.

What is a behavioral data scientist?

A behavioral data scientist analyzes data related to human behavior to identify patterns and insights that can inform decision-making. They often use statistical tools, machine learning, and behavioral theories to interpret data from sources like surveys, digital interactions, or experiments, supporting organizations in understanding user actions and improving products or services.

What can you do with a behavioural science degree?

A behavioral data science degree prepares individuals for roles analyzing human behavior using data analysis, statistical tools, and programming languages like Python or R. Graduates can work as data analysts, behavioral scientists, user experience researchers, or in roles that require understanding consumer behavior and decision-making processes in various industries.

What are the key skills and qualifications needed to thrive in the Behavioral Data Science position, 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 Texas? The most popular types of Behavioral Data Science jobs in Texas are:
What job categories do people searching Behavioral Data Science jobs in Texas look for? The top searched job categories for Behavioral Data Science jobs in Texas are:
What cities in Texas are hiring for Behavioral Data Science jobs? Cities in Texas with the most Behavioral Data Science job openings:
WFP Senior Data Scientist

WFP Senior Data Scientist

JPMorgan Chase & Co.

Plano, TX • On-site

Full-time

Medical, Retirement

Posted 9 days ago


JPMorgan Chase & Co. rating

8.1

Company rating: 8.1 out of 10

Based on 469 frontline employees who took The Breakroom Quiz

46th of 141 rated banks


Job description

Job Description
If you like turning real-world problems into models that actually move the needle, you'll fit right in. Our Workforce Planning (WFP) Data Science team builds AI/ML solutions that help forecast demand, optimize capacity, and sharpen scheduling-at the scale of Chase call centers, back office operations, and ~5,200 branches. The work is complex, high-impact, and rarely "plug-and-play"-you'll frame the problem, choose the right math, and deliver solutions built for action. If real-time decisioning sounds like your kind of challenge, this is where you belong.
As a Data Scientist Associate Senior within the Consumer and Community Banking in Workforce Planning (WFP) you will solve complex, data-intensive, and often unstructured business problems that materially impact operations. You will independently frame ambiguous questions, translate them into mathematical formulations, and select modeling approaches grounded in strong theoretical fit-not just benchmark off-the-shelf algorithms. You will design, develop, and productionize rigorous AI/ML solutions that advance next-generation capabilities, including moving toward real-time inference and decision-making across Workforce Planning.
Job Responsibilities
  • Design and development of Machine Learning, Artificial Intelligence and Statistical models.
  • Support AI/ML projects individually or part of a project team.
  • Collaborate with stakeholders to understand the business requirements and clearly define the objectives of any solution.
  • Select and apply the appropriate modeling approach based on principled understanding of the problem structure and underlying assumptions, while staying up to data on the latest AI/ML research.
  • Ensure the robustness of any data science solution.
  • Develop and communicate recommendations and data science solutions in easy-to-understand-way leveraging data to tell a story.
  • Work effectively and gain credibility and respect of others including peers, clients and other stakeholders.

Required Qualifications, Capabilities, and Skills
  • Master's Degree with 3+ years or Doctorate (PhD) with 1+ years of experience operating as an data science professional (e.g. data scientist, statistician, or related professions) in a quantitative field: Statistics, Analytics, Data Science, Engineering, Operations Research, Economics, Mathematics, Machine Learning, Artificial Intelligence, and related disciplines.
  • Experience supporting AI/ML projects with multiple team members.
  • Hands-on experience developing statistical models, machine learning models, and/or artificial intelligence models.
  • Foundational understanding of the math and theory behind AI/ML algorithms, with the ability to reason about model assumptions, 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, SparkML, etc. & familiarity with basic data table operations (SQL, Hive, etc.).
  • Demonstrated relationship building skills, with a superior ability to make things happen through the use of positive influence.

Preferred Qualifications, Capabilities, and Skills
  • Advanced expertise with Time Series and Operations Research techniques.
  • Natural Language Processing(NLP)/Natural Language Generation(NLG), Neural Nets, or other ML/AI skills.
  • Prior experience with public cloud technologies such as Amazon Web Services(AWS), Azure or Google Cloud Platform(GCP).
  • Previous experience leading highly complex cross-functional technical projects with multiple stakeholders.

This role is not eligible for visa sponsorship. This role is 5 days a week full time in office.
About Us
Chase is a leading financial services firm, helping nearly half of America's households and small businesses achieve their financial goals through a broad range of financial products. Our mission is to create engaged, lifelong relationships and put our customers at the heart of everything we do. We also help small businesses, nonprofits and cities grow, delivering solutions to solve all their financial needs.
We offer a competitive total rewards package including base salary determined based on the role, experience, skill set and location. Those in eligible roles may receive commission-based pay and/or discretionary incentive compensation, paid in the form of cash and/or forfeitable equity, awarded in recognition of individual achievements and contributions. We also offer a range of benefits and programs to meet employee needs, based on eligibility. These benefits include comprehensive health care coverage, on-site health and wellness centers, a retirement savings plan, backup childcare, tuition reimbursement, mental health support, financial coaching and more. Additional details about total compensation and benefits will be provided during the hiring process.
We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants' and employees' religious practices and beliefs, as well as mental health or physical disability needs. Visit our FAQs for more information about requesting an accommodation.
Equal Opportunity Employer/Disability/Veterans
About the Team
Our Consumer & Community Banking division serves our Chase customers through a range of financial services, including personal banking, credit cards, mortgages, auto financing, investment advice, small business loans and payment processing. We're proud to lead the U.S. in credit card sales and deposit growth and have the most-used digital solutions - all while ranking first in customer satisfaction.
The CCB Data & Analytics team responsibly leverages data across Chase to build competitive advantages for the businesses while providing value and protection for customers. The team encompasses a variety of disciplines from data governance and strategy to reporting, data science and machine learning. We have a strong partnership with Technology, which provides cutting edge data and analytics infrastructure. The team powers Chase with insights to create the best customer and business outcomes.

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