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Remote Reddit Data Science Jobs in Texas (NOW HIRING)

Toyota

Data Scientist

Plano, TX · On-site +1

... and remote work on Fridays Who we're looking for: Toyota Financial Services is seeking highly ... This role is ideal for someone who will thrive working at the intersection of computational science ...

BNSF Railway

Sr/Staff Data Scientist (Remote - US)

TX · On-site +1

$165K - $300K/yr

REMOTE Anticipated Start Date: 07/01/2026 The US base salary range for this full-time position is ... Apply data science skills to analyze large, complex datasets and identify meaningful patterns that ...

2U

Data Scientist II

Crystal City, TX · On-site +1

Education: Bachelor's degree in a quantitative field (data science, statistics, mathematics ... While this position is open to remote candidates across the U.S., we will prioritize those who live ...

Arva Intelligence

Data Engineer

Houston, TX · On-site +1

$95K - $130K/yr

Lead Modeling Scientist Location : Remote Base Salary Range: $95k - $130k General Position Description The Data Engineer is responsible for building and scaling the data and computational backbone ...

VetsEZ

Data Engineer (Remote Opportunity)

Austin, TX · On-site +1

$113K - $136K/yr

Bachelor's degree in Computer Science, Information Systems, Engineering, Data Science, or a related field. * 4+ years of experience designing, developing, and supporting data engineering solutions in ...

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 ... This position is temporarily remote. Compensation: $150,000.00 - $210,000.00 per year About Us We ...

Humana

Lead Data Scientist

Dallas, TX · On-site +1

... Data Science, Machine Learning, or a related field. Additional Information Work Style: This position will have a hybrid work style, with 3 days per week in office and 2 days per week remote/home.

Humana

Lead Data Scientist

Dallas, TX · On-site +1

... Data Science, Machine Learning, or a related field. Additional Information Work Style: This position will have a hybrid work style, with 3 days per week in office and 2 days per week remote/home.

Humana

Lead Data Scientist

Dallas, TX · On-site +1

... Data Science, Machine Learning, or a related field. Additional Information Work Style: This position will have a hybrid work style, with 3 days per week in office and 2 days per week remote/home.

USAA

Decision Science Analyst I

San Antonio, TX · On-site +1

USAA roles may offer remote or hybrid flexibility for active-duty military spouses consistent with ... Being curious, proactively digging data for actionable insights * Translates recommendation into ...

USAA

Decision Science Analyst I

San Antonio, TX · On-site +1

USAA roles may offer remote or hybrid flexibility for active-duty military spouses consistent with ... Being curious, proactively digging data for actionable insights * Translates recommendation into ...

Gartner

Data Analyst

Irving, TX · On-site +1

Projects will also involve collaboration with the Information Technology and Data Science teams ... Gartner offers a hybrid, flexible environment, with remote work that allows associates great ...

Stryker

Senior Lead Data Engineer (Remote)

Dallas, TX · On-site +1

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 ...

Insolation Technology Ltd

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 ...

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Showing results 21-40

All JobsReddit Data Science JobsRemote Reddit Data Science JobsRemote Reddit Data Science Jobs in Texas

Remote Reddit Data Science information

What is the difference between Remote Reddit Data Science vs Remote Reddit Data Analyst?

AspectRemote Reddit Data ScienceRemote Reddit Data Analyst
Required CredentialsDegree in Data Science, Statistics, or related field; experience with machine learningDegree in Data Analysis, Statistics, or related field; proficiency in data visualization
Work EnvironmentCollaborative teams, research-focused projects, advanced analyticsReporting, dashboard creation, data interpretation
Employer & Industry UsageTech companies, social media platforms, research institutionsMarketing firms, social media companies, analytics agencies
Common Search & ComparisonFocus on predictive modeling and complex data analysisFocus on data reporting and insights generation

Remote Reddit Data Science involves advanced analytics, machine learning, and research-oriented tasks, often requiring specialized degrees. In contrast, Remote Reddit Data Analyst roles focus on interpreting data, creating reports, and visualizations to inform decisions. Both roles are integral in social media and tech industries but differ in complexity and scope.

What skills and qualifications are needed to thrive as a remote Reddit data scientist?

To thrive as a Remote Reddit Data Scientist, you need expertise in statistics, machine learning, and programming languages like Python or R, typically supported by a degree in data science, computer science, or a related field. Familiarity with data analysis tools (such as SQL, Pandas, or Spark), cloud platforms, and experience with Reddit's API or similar social media data sources are commonly required. Strong problem-solving, communication, and the ability to work independently are crucial soft skills in this remote role. These skills are vital for uncovering actionable insights, collaborating effectively across teams, and driving data-driven decision-making in a distributed work environment.

How do remote Reddit data science teams typically collaborate on projects and share insights?

Remote Reddit Data Science teams often rely on a combination of digital collaboration tools, such as Slack, GitHub, and shared dashboards, to communicate findings and coordinate project tasks. Regular virtual meetings and sprint planning sessions help ensure alignment and transparency across team members. Since data scientists often work across product, engineering, and community teams, strong documentation and asynchronous updates are crucial for keeping everyone informed and driving projects forward. This collaborative structure allows team members to contribute insights, review code, and iterate on models efficiently, even when working from different locations.

What does a remote Reddit data scientist do?

A Remote Reddit Data Science job typically involves analyzing large sets of data from Reddit to uncover patterns, trends, and insights. Data scientists in this role may work on natural language processing, sentiment analysis, user behavior modeling, and content recommendation systems. They use programming languages like Python or R, as well as tools such as SQL, to gather and interpret Reddit data. The role often requires collaboration with other remote team members, communication of findings to stakeholders, and the ability to work independently. This position is ideal for those interested in social media analytics and remote work flexibility.
What are the most commonly searched types of Reddit Data Science jobs in Texas? The most popular types of Reddit Data Science jobs in Texas are:
What are popular job titles related to Remote Reddit Data Science jobs in Texas? For Remote Reddit Data Science jobs in Texas, the most frequently searched job titles are:
What job categories do people searching Remote Reddit Data Science jobs in Texas look for? The top searched job categories for Remote Reddit Data Science jobs in Texas are:
What cities in Texas are hiring for Remote Reddit Data Science jobs? Cities in Texas with the most Remote Reddit Data Science job openings:
Remote Reddit Data Science jobs near you
Infographic showing various Remote Reddit Data Science job openings in Texas as of August 2026, with employment types broken down into 1% As Needed, 82% Full Time, 13% Part Time, and 4% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution.

Staff Data Scientist- Pricing Science

CSC Generation

Austin, TX • On-site, Remote

Full-time

Medical, Dental, Vision, Retirement, PTO

Re-posted 2 days ago

Job description

CSC Generation is the AI-native holding company re-engineering omnichannel retail. We acquire iconic brands and transform them with Genesis, our operating platform combining a Data Fabric, Automation Engine, proprietary tools, and shared services to modernize operations, elevate customer experience, and expand margins. With $1B+ in revenue across 13 brands, our portfolio includes Sur La Table, Backcountry, One Kings Lane, and others that serve as real-world innovation labs.
Reports to: Director of Finance and Business Intelligence
Location: Remote - US or Canada
About the Role
As our Staff Data Scientist, you will design and ship production pricing systems such as demand forecasting, price elasticity modeling, dynamic pricing and the experimentation infrastructure needed to measure whether they actually work.
This is a hard, high-stakes problem: your models will directly influence margin and revenue decisions across a portfolio of brands operating at scale. You will own the full arc from framing ambiguous business problems as well-defined ML tasks through to monitoring models that hold up in production.
At six months, success looks like at least one pricing model shipped to production with measurable business impact and an experimentation framework in place that your stakeholders trust. If you have spent time building pricing systems from the ground up, not just consuming them, and you care deeply about rigorous causal inference and honest model evaluation, this role was written for you.
What You'll Do
  • Design and build production ML systems for pricing, demand forecasting, and related revenue problems
  • Frame ambiguous business problems as well-defined ML tasks with clear success criteria and measurable outcomes
  • Set the standard for model evaluation, validation, and monitoring - including knowing when CV metrics are misleading and when holdout testing is the only honest answer
  • Build robust predictive models across classification, regression, time series, and causal inference
  • Identify and prevent data leakage, overfitting, and other failure modes before they reach production
  • Design and analyze experiments to measure causal impact of pricing decisions
  • Debug models that fail in production - understand why they fail, not just that they do
  • Translate model limitations, uncertainty, and risk clearly to both technical and non-technical stakeholders
  • Partner with product, engineering, and business teams to ensure ML solutions solve real problems

Required Qualifications
  • 7+ years of applied ML / data science experience with a track record of production systems that delivered measurable business impact.
  • Deep experience in pricing, demand forecasting, or revenue optimization - you have built these models end-to-end, not just consumed them.
  • Expert-level Python and SQL.
  • Deep understanding of ML fundamentals beyond API-level usage, including model evaluation, validation, and failure mode diagnosis.
  • Strong grounding in causal inference and experimental design, including the ability to distinguish correlation from causal result.
  • Ability to work with messy, real-world data and make pragmatic tradeoffs under ambiguity.
  • Familiarity with cloud ML platforms (GCP/Vertex AI or AWS/SageMaker).
  • MS or PhD in Statistics, Computer Science, Operations Research, or a related quantitative field.

Preferred Qualifications
  • Experience in e-commerce, retail, marketplace, or pricing-intensive industries such as airlines, ride-sharing, or fintech.

Why Join
The people who do best here are builders. They take ownership, move fast, and want to see the direct impact of their work.
  • Portfolio-Level Impact: Your models will influence pricing and margin decisions across a $1B+ portfolio of brands - the output of your work is visible at the executive level from day one.
  • AI-First Skill Building: Get hands-on with production ML infrastructure, causal inference at scale, and the Genesis platform - building a modern, applied ML skill set on real retail data problems.
  • Ownership: You will own the full problem from framing through production, with the autonomy to make technical decisions and the stakeholder access to see them through.
  • Competitive Benefits (CAN): Comprehensive benefits including paid time off, RRSP match, group benefits, and employee discounts across portfolio brands.
  • Competitive Benefits (US): Comprehensive benefits including paid time off, 401(k) match, medical, dental, vision, supplemental coverage, and employee discounts across portfolio brands.

Interview Process
  1. Recruiter Screen: 30-minute call to cover your background, the role, and logistics.
  2. Hiring Manager Interview: Conversation with the Director of Finance and Business Intelligence focused on your pricing science experience, approach to ambiguous ML problems, and how you've driven production impact.
  3. Technical / Case Discussion: Deep dive into a pricing or demand forecasting problem - expect questions on model evaluation, causal inference, and production failure modes. Cross-functional stakeholders may join.
  4. Executive Interview: Final conversation with senior leadership.
  5. Reference Checks: Conducted in parallel with the final stages where possible.
  6. Offer: We move quickly for the right candidate.

For US-based candidates, this posting is intended for candidates that reside in the following states:
AZ, DE, FL, GA, IN, LA, MI, MS, MO, NV, NC, OK, PA, TN, TX, UT, WV, WI, and WY.
For Ontario applicants, please note that this posting is for an existing vacancy.
The CSC Generation family of brands provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, provincial, state or local laws.
The CSC Generation family of brands is committed to providing reasonable accommodations for qualified individuals with disabilities in our job application procedures. If you need assistance or accommodation due to a disability, please contact [email protected].
We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
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About CSC Generation

Sourced by ZipRecruiter

CSC Generation is a multi-brand technology platform based in Merrillville, IN, United States. The organization operates in the retail sector and utilizes technology to save retail companies from going into bankruptcy, while also offering consumers the ability to lease their purchases. Founded by serial entrepreneur, Justin Yoshimura, CSC Generation has leveraged its proprietary technology and customer database to quickly revitalize distressed retail brands. The company's mission revolves around the concepts of reinvention and innovation as it aims to redefine traditional retail and direct-to-consumer models in today's digital age. Notably, the company has, to date, acquired several brands such as DirectBuy, Killion, and most notably, Z Gallerie, growing fast within the e-commerce sector.

Company size

501 - 1,000 Employees

Headquarters location

Merrillville, IN, US

Year founded

2016

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