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Quantum Data Scientist Jobs in Spring, TX (NOW HIRING)

... sciences research careers. * Conceptual Teaching & Problem-Solving: Skilled at breaking down thermodynamic derivations, quantum mechanical calculations, and kinetic data analysis. Guides students ...

Sr Analyst Omnichannel

Katy, TX · On-site

$80K - $106K/yr

... in Data Science, Computer Science, Statistics, Mathematics, Economics, Engineering, or a related ... Strong hands-on experience with Adobe Analytics, Google Analytics, and Quantum Metric.

Sr Analyst Omnichannel

Katy, TX · On-site

$80K - $106K/yr

... in Data Science, Computer Science, Statistics, Mathematics, Economics, Engineering, or a related ... Strong hands-on experience with Adobe Analytics, Google Analytics, and Quantum Metric.

Bachelor's degree in Cybersecurity, Information Security, Engineering, Computer Science ... Familiarity with crypto-agility strategies and post-quantum cryptography readiness * Knowledge of ...

Linear Algebra Tutor

Houston, TX · Remote

$18 - $40/hr

... data science, engineering, and advanced mathematics. * Conceptual Teaching & Problem-Solving ... learning, and quantum mechanics applications. * Curriculum Awareness & Adaptive Instruction:

AP Physics 2 Tutor

Houston, TX · Remote

$18 - $40/hr

... and quantum physics as outlined in the AP Physics 2 framework. Ability to explain Bernoulli ... data. Emphasizes conceptual reasoning with mathematical justification and connects advanced physics ...

College Physics Tutor

Houston, TX · Remote

$18 - $40/hr

... relativity and quantum phenomena. Ability to explain Newton laws, conservation principles ... science sections. * Conceptual Teaching & Problem-Solving: Skilled at breaking down multi-step ...

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Showing results 1-20

Quantum Data Scientist information

See Spring, TX salary details

$42.4K

$151.9K

$224.2K

How much do quantum data scientist jobs pay per year?

As of Aug 19, 2026, the average yearly pay for quantum data scientist in Spring, TX is $151,946.00, according to ZipRecruiter salary data. Most workers in this role earn between $122,900.00 and $156,500.00 per year, depending on experience, location, and employer.

What is a quantum data scientist?

A Quantum Data Scientist is a professional who combines expertise in quantum computing and data science to develop algorithms and models that leverage the power of quantum computers. They work on solving complex data problems that are difficult or impossible for classical computers to handle, using quantum algorithms and techniques. Their role often includes research, algorithm development, data analysis, and collaboration with other scientists and engineers to advance quantum technologies. Quantum Data Scientists typically have a background in physics, computer science, mathematics, and machine learning, and they play a key role in the emerging field of quantum information science.

How does a quantum data scientist typically collaborate with classical data science and engineering teams?

Quantum Data Scientists frequently work alongside classical data scientists and data engineers to identify problems that could benefit from quantum computing techniques. Collaboration often involves translating complex business or scientific challenges into quantum algorithms, benchmarking quantum approaches against classical solutions, and integrating quantum models into existing workflows. Effective communication is key, as quantum concepts may be unfamiliar to traditional teams, so Quantum Data Scientists often act as bridges, sharing insights and training colleagues on quantum methodologies. This collaborative approach accelerates innovation and helps organizations assess the real-world value of quantum solutions.

What are the key skills and qualifications needed to thrive as a quantum data scientist, and why are they important?

To thrive as a Quantum Data Scientist, you need a strong background in quantum physics, machine learning, and advanced mathematics, typically supported by a degree in physics, computer science, or a related field. Familiarity with quantum programming languages (such as Qiskit or Cirq), classical data science tools (like Python, TensorFlow, or PyTorch), and experience using quantum computing platforms are essential. Strong analytical thinking, problem-solving abilities, and effective communication skills help you translate complex quantum concepts and collaborate with interdisciplinary teams. These skills are crucial for driving innovation and developing practical solutions in the rapidly evolving field of quantum data science.

What are popular job titles related to Quantum Data Scientist jobs in Spring, TX?

For Quantum Data Scientist jobs in Spring, TX, the most frequently searched job titles are:

What job categories do people searching Quantum Data Scientist jobs in Spring, TX look for?

The top searched job categories for Quantum Data Scientist jobs in Spring, TX are:

What cities near Spring, TX are hiring for Quantum Data Scientist jobs?

Cities near Spring, TX with the most Quantum Data Scientist job openings:

Infographic showing various Quantum Data Scientist job openings in Spring, TX as of August 2026, with employment types broken down into 86% Full Time, 7% Part Time, and 7% Temporary. Highlights an 92% In-person, and 8% Remote job distribution, with an average salary of $139,676 per year, or $67.2 per hour.

Sr Manager Data Science and AI Platform Enablement

Academy Sports + Outdoors

Katy, TX • On-site

Full-time

Posted 23 days ago


Academy Sports + Outdoors rating

5.9

Company rating: 5.9 out of 10

Based on 442 frontline employees who took The Breakroom Quiz

402nd of 734 rated retailers


Job description

Who We Are
At Academy Sports + Outdoors our vision is to be the best sports + outdoors retailer in the country - but what truly sets us apart is our people. We're a passionate, purpose-driven team that's as committed to each other as we are to our customers.
We've spent over 80 years building a culture that puts people first. We believe in creating opportunities for growth, fostering meaningful connections, and supporting every Team Member's journey. What fuels us? Our belief in the power of fun.
Here, you won't just help customers gear up for their next adventure - you'll launch one of your own. Whether you're starting out or leveling up, Academy is a place where fun can't lose!
Education:
  • Bachelor's in engineering, Statistics, Data Science, or Computer Sciences
  • Master's degree in Analytics or data science (preferred)

Work Experiences:
  • 8+ years of experience in data science, advanced analytics, applied machine learning, or related fields. Experience in retail or B2C is preferred
  • 4+ years of experience leading teams or major technical initiatives, including people management or matrixed leadership
  • 3+ years of experience in B2C, retail, e-commerce, marketing analytics, or customer-facing analytics domains
  • 3+ years of experience building, deploying, or enabling production-grade analytics or ML solutions

Skills:
  • Strong engineering mindset with experience in: Modular code, Reproducibility & Production-grade analytics or ML systems
  • Experience working with digital analytics, customer data platforms, or experimentation data (e.g., Adobe, web/app analytics, or similar ecosystems)
  • Proven ability to influence across matrixed organizations without direct ownership
  • Experience partnering with data engineering, platform, and governance teams
  • Ability to balance speed to value with long-term scalability
  • Experience enabling MLOps or analytics platforms, preferred
  • Exposure to customer analytics, personalization, marketing, or e-commerce use cases, preferred
  • Experience operating in early-to-mid maturity data organizations, preferred
  • Comfort shaping standards without formal authority, preferred

Responsibilities:
Platform & AI Standards Enablement
  • Define and evolve reusable data, feature, and modeling patterns, MLOps and model lifecycle standards, and production-ready analytics/ML solutions.
  • Partner with CIO Data Engineering and Platform teams to influence canonical customer data models, shared datasets, feature reuse, and data access/consumption standards.

Customer Domain Translation & Enablement
  • Translate customer, marketing, and omnichannel needs into scalable technical and platform-aligned patterns.
  • Enable domain-aligned data scientists, analysts, and engineers to adopt standards, reduce reinvention, and accelerate delivery.
  • Influence enterprise priorities through evidence, design proposals, and proof-of-value work.

Governance, Quality & Responsible AI
  • Represent customer-domain data needs in governance forums.
  • Help evolve governance standards that are practical for personalization, experimentation, and customer analytics.
  • Ensure quality, fairness, trust, and compliance are embedded by design.

Customer Data Domain Enablement
  • Lead Adobe Analytics and Quantum Metrics data capture, acting as a catalyst for effective use across analytics, personalization, and experimentation.
  • Serve as the data domain owner for all customer-facing data domains, including tag management, Bridg, and clean room capabilities, accountable for data definitions, quality, access, and downstream usability.
  • Partner with IT pods, platform, and engineering teams to define and govern customer data flows securely and at scale through well-documented integrations.

Leadership Attributes
  • Systems thinker with a pragmatic bias toward delivery.
  • Trusted by both business and technical stakeholders.
  • Comfortable letting teams execute independently while influencing across a matrixed organization.
  • Optimizes for scale and reuse, not personal ownership.

Physical Requirements & Attendance:
  • Acceptable level of hearing and vision to perform job duties
  • Adhere to company work hours, policies, procedures, and rules governing professional staff behavior
  • Regular attendance in the office is required
Equal Employment Opportunity
Academy is an Equal Opportunity Employer and does not discriminate with regard to employment opportunities or practices on the basis of race, religion, national origin, sex, age, disability, gender identity, sexual orientation, or any other category protected by law.

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