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Remote Computer Science Fresher Jobs in Texas (NOW HIRING)

Bread Financial

Lead Data Scientist

Frisco, TX · On-site +1

$144K - $250K/yr

Bachelor's Degree in Statistics, Mathematics, Engineering, Data Science, Computer Science, or ... Normal office environment. (Remote or Hybrid), 3 to 4 days per month are required in office if ...

New Math Data

Solution Architect

Houston, TX · On-site +1

$60.25 - $79.25/hr

... computer science or related field from an accredited institution. * Telecommuting or remote work is acceptable. Employment Type: FULL_TIME

Dlapiper

Data Scientist

Houston, TX · On-site +1

Bachelor's degree in computer science, data science, statistics, applied mathematics or related ... Opportunity for a hybrid work arrangement combining remote and in-office work. The specific ...

Dlapiper

Data Scientist

Austin, TX · On-site +1

Bachelor's degree in computer science, data science, statistics, applied mathematics or related ... Opportunity for a hybrid work arrangement combining remote and in-office work. The specific ...

Dlapiper

Data Scientist

Dallas, TX · On-site +1

Bachelor's degree in computer science, data science, statistics, applied mathematics or related ... Opportunity for a hybrid work arrangement combining remote and in-office work. The specific ...

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 ...

VetsEZ

Data Engineer (Remote Opportunity)

Austin, TX · On-site +1

$113K - $136K/yr

We are currently looking for a Data Engineer for a 100% remote position on a large federal ... Requirements * Bachelor's degree in Computer Science, Information Systems, Engineering, Data ...

VetsEZ

Data Engineer (Remote Opportunity)

Austin, TX · On-site +1

$113K - $136K/yr

We are currently looking for a Data Engineer for a 100% remote position on a large federal ... Requirements * Bachelor's degree in Computer Science, Information Systems, Engineering, Data ...

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Remote Computer Science Fresher information

What is a remote computer science fresher?

Remote Computer Science Freshers are recent graduates or entry-level professionals who have a background in computer science and work remotely, often from home or another location outside a traditional office. They typically perform tasks such as software development, testing, debugging, or basic IT support under supervision. These roles allow freshers to gain industry experience while enjoying the flexibility that remote work offers. Companies hire remote computer science freshers to tap into a wider talent pool and reduce overhead costs. This arrangement is becoming increasingly popular due to advances in collaboration technologies and the global shift towards remote work.

What skills and qualifications are needed to thrive as a remote computer science fresher?

To thrive as a Remote Computer Science Fresher, you typically need a solid understanding of programming fundamentals, algorithms, and problem-solving, with a relevant degree or coursework in computer science. Familiarity with coding platforms (like GitHub), collaboration tools (such as Slack or Zoom), and basic knowledge of software development environments is often expected. Strong self-motivation, effective communication, and time management are crucial soft skills for remote work success. These skills and qualities are vital for delivering quality work, staying connected with remote teams, and adapting to the fast-evolving tech landscape.

How do remote computer science freshers typically collaborate with their teams despite working from different locations?

As a Remote Computer Science Fresher, you'll often use a variety of digital tools—such as Slack, Microsoft Teams, or Zoom—to communicate with your colleagues and participate in team meetings. Project management platforms like Jira or Trello are commonly used to track tasks and progress. Regular check-ins, code reviews, and pair programming sessions help foster teamwork and provide learning opportunities. While remote work requires some adjustment, strong communication skills and proactive engagement will help you build relationships and contribute effectively to your team.

What is the difference between Remote Computer Science Fresher vs Remote Software Developer?

AspectRemote Computer Science FresherRemote Software Developer
QualificationsBachelor's in Computer Science or related fieldBachelor's or higher in Computer Science or Software Engineering
ExperienceEntry-level, little to no professional experienceTypically 1+ years of coding and development experience
Work EnvironmentRemote, often internship or trainee rolesRemote or hybrid, full-time development roles
Industry UsageCommon for freshers entering tech companies or startupsCommon for companies seeking experienced developers

Remote Computer Science Freshers are usually recent graduates starting with entry-level roles, focusing on learning and skill development. Remote Software Developers generally have some experience and work on building and maintaining software projects. While both roles can be remote, the Software Developer role typically requires more technical expertise and experience.

What are popular job titles related to Remote Computer Science Fresher jobs in Texas?

For Remote Computer Science Fresher jobs in Texas, the most frequently searched job titles are:

What job categories do people searching Remote Computer Science Fresher jobs in Texas look for?

The top searched job categories for Remote Computer Science Fresher jobs in Texas are:

What cities in Texas are hiring for Remote Computer Science Fresher jobs?

Cities in Texas with the most Remote Computer Science Fresher job openings:

Remote Computer Science Fresher jobs near you

Staff Data Scientist- Pricing Science

Austin, TX • On-site, Remote

CSC Generation
Finance and Insurance • 501 - 1,000 employees
Learn more about CSC Generationexternal

Full-time

Medical, Dental, Vision, Retirement, PTO

Re-posted 5 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.

Interview process is subject to change. Any updates will be shared promptly and clearly.
Please Note
  • Part of our interview process is a mandatory in-person interview with someone on our team prior to an offer. Candidates that are unwilling or unable to meet for an in-person interview will be removed from consideration immediately.
  • Due to a high volume of fraudulent applications, you must share a valid LinkedIn profile URL in the application questions below to be considered. If you do not have a LinkedIn profile, you must provide a credible reason in that field and supply alternative evidence of your professional background to verify your identity.

CSC Generation is an equal opportunity employer. We do not discriminate on the basis of race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, veteran status, or any other characteristic protected by law.
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].
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.
CSC Generation will conduct an exhaustive background check including verifying dates of employment directly with your former employer.
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.

Industry

Finance and insurance

Company size

501 - 1,000 Employees

Headquarters location

Merrillville, IN, US

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