2

Remote Behavioral Data Science Jobs in Texas (NOW HIRING)

Collaborate with cross functional teams including data scientists and Information Technology team ... Gartner offers a hybrid, flexible environment, with remote work and opportunities to connect with ...

New

We are currently recruiting for a Data Specialist to join our organization; this is a remote ... Bachelor's degree in Data Science, Information Systems, Business Analytics, Computer Science, or a ...

We are currently recruiting for a Data Specialist to join our organization; this is a remote ... Bachelor's degree in Data Science, Information Systems, Business Analytics, Computer Science, or a ...

We are currently recruiting for a Data Specialist to join our organization; this is a remote ... Bachelor's degree in Data Science, Information Systems, Business Analytics, Computer Science, or a ...

Remote As a Senior Lead, Data Engineering, you will serve as a technical leader who helps shape the ... Bachelor's degree in Computer Science, Data Engineering, Data Science, Information Systems ...

Data Analyst

Houston, TX · On-site +1

$21 - $26/hr

Bachelors degree in Data Science, Statistics, Mathematics, Engineering, or a related field ... Flexible work schedule and remote work options Job Type: * Full time Pay: * $21.00 - $26.00 per ...

You'll work directly with marketing, product, and finance leaders to turn raw behavioral and ... as a data scientist, marketing analyst, or growth analyst, ideally in a consumer app, gaming ...

Data Analyst

Dallas, TX · Remote

$23.50 - $30.50/hr

This is a remote role strictly for candidates within the United States. Position Overview: As a ... Education: * Bachelors degree in Data Science, Engineering, Statistics, Computer Science, or a ...

Data Engineer

Irving, TX · On-site +1

$141K - $144K/yr

... with Data Science team to transform data and integrate algorithms and models into automated ... Hybrid position: remote work permitted but must live within commuting distance of designated office ...

Here is the other role Client is OneMain Financial Group This role is a Remote role But the ... Strong background in math, statistics, computer science, data science or related discipline

New

Showing results 41-60

Remote Behavioral Data Science information

What is remote behavioral data science?

Remote behavioral data science is a field where professionals analyze and interpret data related to human behavior, often using statistical methods, machine learning, and data visualization, all while working from a remote location. These scientists work with data from sources such as online interactions, surveys, or sensors to uncover insights into patterns, preferences, and decision-making. Remote roles allow for flexibility and collaboration with teams and clients around the world, using digital tools for communication and data analysis. This field is interdisciplinary, drawing from psychology, data science, and computer science.

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

To thrive as a Remote Behavioral Data Scientist, you need expertise in statistical analysis, machine learning, behavioral science, and a degree in a related field such as psychology, statistics, or computer science. Proficiency with data analysis tools like Python, R, SQL, and experience with data visualization platforms and cloud-based collaboration systems are typically required. Strong communication, critical thinking, and self-motivation are vital soft skills for presenting findings and working independently within remote teams. These skills ensure effective analysis of human behavior data, actionable insights, and successful collaboration in distributed work environments.

How do remote behavioral data scientists typically collaborate with cross-functional teams to drive impactful insights?

Remote behavioral data scientists regularly work with cross-functional teams such as product managers, UX researchers, and engineers to translate user data into actionable recommendations. Collaboration often happens via virtual meetings, shared dashboards, and project management tools, ensuring alignment on goals and data interpretations. Effective communication and documentation are crucial, as data scientists must clearly explain complex analyses and behavioral patterns to non-technical stakeholders. This collaborative environment not only fosters innovation but also ensures that data-driven insights meaningfully inform product and business decisions.

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 cities in Texas are hiring for Remote Behavioral Data Science jobs?

Cities in Texas with the most Remote Behavioral Data Science job openings:

Infographic showing various Remote Behavioral Data Science job openings in Texas as of July 2026, with employment types broken down into 100% Part Time. Highlights an 100% Remote job distribution.

Senior Data Scientist - Store Performance & Operations

Catalyst Brands

Dallas, TX • On-site, Remote

$97K - $162K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 2 days ago


Catalyst Brands rating

7.0

Company rating: 7.0 out of 10

Based on 20 frontline employees who took The Breakroom Quiz


Job description

Overview
The Senior Data Scientist delivers practical analytical solutions to improve store performance, labor effectiveness, and operations decision-making across the 5 brands and 1,400 stores at Catalyst Brands. The role uses strong and disciplined analytical judgement in concert with advanced analytics and modeling, building causal and predictive models that drive sound business decisions. The Senior Data Scientist uses AI-enabled analytical and development tools to improve speed, quality, and breadth of analysis.
This role partners closely with Store Operations, Merchandising, and Finance to translate business problems into analytical approaches, deliver actionable insights, and help establish sound measurement and testing practices for operational changes and model-driven recommendations.
Responsibilities
Store Operational Performance & Analytics
• Develops and applies analytics models that diagnose store performance drivers, including traffic, conversion, UPT, AUR, labor utilization, shrink, and improved margin profitability
• Identifies underperforming stores, quantifies root causes, and recommends targeted interventions (labor scheduling, product placement, assortment, training, process redesign).
• Designs and applies rigorous test-and-learn standards and approaches to evaluate operational and merchandising initiatives, translating results into clear recommendations and scalable actions.
Advanced Analytics for Store Optimization and Insights
• Creates models to detect operational patterns, identify key causal factors, and predict outcomes based on leading indicators.
• Develops predictive and decision-support models for scheduling, staffing coverage, fulfillment flows, and allocation decisions that affect store performance and profitability.
• Transforms operational data-POS, labor, tasking, shrink events, foot traffic-into intelligence that supports rapid experimentation and decision-making.
Continuously refines models and reporting to adapt to evolving store strategies, customer behaviors, and brand needs.
Influence, Leadership & Communication
• Presents insights and performance diagnostics to store leadership, distilling complex analytics into clear narratives that guide operational strategy.
• Partners with Store Operations, Finance, Merchandising, and Field Leadership to align analytics outputs with business priorities.
• Guides cross-functional initiatives that drive measurable improvements in sales, labor productivity, customer satisfaction, and overall store profitability.
Qualifications
• 6-10+ years of advanced analytics/data science experience, retail preferred or other operationally intensive environments with consumer exposure.
• Bachelor's degree in Data Science, Computer Science, Statistics, Mathematics, or related fields; Master's degree is a plus.
• Demonstrated success delivering analytics solutions, including forecasting, optimization, and segmentation, using ML models and AI tools that drive measurable operational or financial outcomes.
• Strong analytical judgment in noisy data environments, with the ability to identify and validate relevant data, distinguish causal from predictive questions, make valid comparisons, surface bias and assumptions, and translate model outputs into sound business conclusions.
• Financial and operational acumen, able to interpret P&Ls and operational KPIs.
• Influential written and verbal communication skills, able to guide decision-making without direct authority.
• Ability to model and promote a culture of intellectual honesty, constructive skepticism, shared ownership, continuous improvement, and practical rigor to drive improved business decisions.
• Proficient in Python and SQL, able to build and validate reproducible workflows, including AI-assisted code.
What You Get:
Enjoy a rewarding career at Catalyst, where we offer a competitive benefits package, a vibrant work environment, and the opportunity to make a difference at one of America's most iconic brands.
• Generous Benefits: Medical/dental/vision insurance starting on day one, term life insurance, paid vacation/holidays, 401(k) Savings Plan with company match, and an associate discount on JCPenney merchandise.
• Opportunities for Growth and Development: We are committed to helping our employees grow their careers and develop their skills. We offer a variety of training and development programs, as well as opportunities for advancement.
• Collaborative and supportive Culture: We believe in creating a workplace where everyone feels valued and respected. We encourage teamwork and collaboration, and we are always looking for ways to support our employees' success.
About Catalyst:
Catalyst Brands reflects the bringing together the rich heritages of our brands with modern excitement and a new vision for success. Six iconic brands came together under a unified powerhouse portfolio to celebrate the essence of American style. We will leverage our rich history, resources and best-in-class industry talent to further build the success of our brands. At Catalyst we are united in one shared purpose: We exist to ignite America's most beloved retail brands to make fashion accessible to all.
For more opportunities to join our team please visit our careers page.
#LI-MS1
#LI-MS1
Pay Range
USD $97,200.00 - USD $162,000.00 /Yr.

What Catalyst Brands employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom