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Data Science Physics Jobs in Texas (NOW HIRING)

Statistics, Economics, Applied Math, Operations Research, Physics, Data Science fields) Applicants in the U.S. must satisfy federal, state, and local legal requirements of the job. At The Michaels ...

Bachelor's degree in applied mathematics, Data Science or Physics * 5+ years' experience Data Science * Strong analytical and problem-solving skills * Excellent communication and presentation ...

... Engineering, Physics, Computer Science or similar quantitative field. Required What We Offer ... Manage a team of Data Scientists * Lead in conducting research projects, incorporate project design ...

As a Data Scientist/Data Science Specialist for Adidev Technologies Inc., you will be enhancing and ... S. in Computer Science, Computational Physics, Operations Research, Geospatial Sciences, Remote ...

As a Data Scientist/Data Science Specialist for Adidev Technologies Inc., you will be enhancing and ... S. in Computer Science, Computational Physics, Operations Research, Geospatial Sciences, Remote ...

As a Data Scientist/Data Science Specialist for Adidev Technologies Inc., you will be enhancing and ... S. in Computer Science, Computational Physics, Operations Research, Geospatial Sciences, Remote ...

... Science, Data Science, Statistics, Mathematics, Applied Mathematics, Engineering, Economics, Physics, Operations Research, Information Technology, etc. • TS/SCI Full Poly clearance • Full U.S.

AI and Data Science Engineer II

Austin, TX · On-site

$113K - $136K/yr

We are a team of strategists, data scientists, operators, creatives, designers, engineers, and ... Bachelor's degree in engineering, mathematics, physics, machine learning, statistics, computer ...

AI and Data Science Engineer II

Houston, TX · On-site

$109K - $131K/yr

We are a team of strategists, data scientists, operators, creatives, designers, engineers, and ... Bachelor's degree in engineering, mathematics, physics, machine learning, statistics, computer ...

AI and Data Science Engineer II

Dallas, TX

$113K - $136K/yr

We are a team of strategists, data scientists, operators, creatives, designers, engineers, and ... Bachelor's degree in engineering, mathematics, physics, machine learning, statistics, computer ...

D. with 0-2 years of experience in Physics, Physics engineering, Mathematics, Biology, Chemistry, Statistics, or Engineering with a minor, certificate, or emphasis in computer science, data science ...

Preferred Qualifications PhD in Statistics, Mathematics, Data Science, Machine Learning, Physics, Engineering, Computer Science or equivalent Experience applying LLMs to solve technical problems such ...

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Data Science Physics information

See Texas salary details

$21.5K

$81.3K

$176.3K

How much do data science physics jobs pay per year?

As of Sep 13, 2026, the average yearly pay for data science physics in Texas is $81,340.00, according to ZipRecruiter salary data. Most workers in this role earn between $37,375.00 and $120,922.00 per year, depending on experience, location, and employer.

What is a Data Science Physics?

A Data Science Physics job combines physics principles with data science techniques to analyze complex datasets, build predictive models, and extract insights. Professionals in this role apply statistical methods, machine learning, and computational algorithms to solve problems in areas such as material science, astrophysics, and engineering. They often work with big data, simulations, and experimental data to improve decision-making and research outcomes.

What does a Data Science Physics do?

A typical day in Data Science Physics often involves collecting, cleaning, and analyzing large datasets derived from experimental or simulated physics research. You may spend time developing and testing predictive models, interpreting results, and visualizing data to communicate findings to colleagues and stakeholders. Collaboration is common, with regular meetings alongside scientists, engineers, and data professionals to discuss project goals or troubleshoot challenges. Additionally, you may contribute to research publications or help develop new methodologies for data analysis, making each day varied and intellectually stimulating.

What are the key skills and qualifications needed to thrive in Data Science Physics?

To thrive in Data Science Physics, you need strong analytical abilities in both physics and statistics, typically supported by an advanced degree in physics, data science, or a related field. Familiarity with tools such as Python, MATLAB, machine learning libraries (e.g., scikit-learn, TensorFlow), and experience using simulation or data visualization software are essential. Excellent problem-solving, collaboration, and communication skills help you work effectively with multidisciplinary teams and explain complex findings to non-experts. These competencies enable efficient analysis and interpretation of large scientific datasets, driving innovation and informed decision-making in research and industry settings.

Can I get a data science job with a physics degree?

A physics degree provides a strong foundation in analytical thinking, mathematics, and problem-solving, which are valuable in data science roles. Many data scientists have backgrounds in physics, and skills in programming, statistical analysis, and data visualization tools like Python, R, and SQL are often required. Gaining experience through projects, internships, or certifications can improve job prospects in this field.

How is data science used in physics?

Data science in physics involves analyzing large datasets from experiments and simulations to identify patterns, make predictions, and develop models. Physicists use tools like machine learning, statistical analysis, and data visualization to interpret complex phenomena and advance understanding in areas such as particle physics, astrophysics, and condensed matter research.

What are popular job titles related to Data Science Physics jobs in Texas?

For Data Science Physics jobs in Texas, the most frequently searched job titles are:

What job categories do people searching Data Science Physics jobs in Texas look for?

The top searched job categories for Data Science Physics jobs in Texas are:

What cities in Texas are hiring for Data Science Physics jobs?

Cities in Texas with the most Data Science Physics job openings:

Infographic showing various Data Science Physics job openings in Texas as of August 2026, with employment types broken down into 1% As Needed, 83% Full Time, 11% Part Time, 4% Contract, and 1% Nights. Highlights an 84% Physical, 4% Hybrid, and 12% Remote job distribution, with an average salary of $81,340 per year, or $39.1 per hour.

Manager - Data Science

Irving, TX

Michaels Stores
Retail • 10K+ employees

Full-time

Medical, Dental, Vision, PTO

Re-posted 5 days ago


Michaels rating

4.8

Company rating: 4.8 out of 10

Based on 956 frontline employees who took The Breakroom Quiz


Job description

Support Center - IrvingThe Manager - Data Science role is critical in helping to determine which CRM tactics most effectively drive long-term value with our customers. The ideal candidate will creatively apply advanced analytic techniques, ranging from DOE to predictive models and machine learning, that will both articulate business impact and optimize marketing spend. Clear communication of complex analyses and the ability to tell a story with data are critical to succeed in this role.

Major Activities

  • Strategic Thought Partnership

  • Design and execute analytics projects to quantify impact from various marketing campaigns

  • Identify growth opportunities for the business leveraging innovation and advanced analytical techniques

  • Work with business partners to identify the challenges that needs to be quantified

  • Act as subject matter expert for all projects in which involved

Data Analytics

  • Mine extensive database in support of business insights and measurement

  • Develop well-thought, actionable insights using advanced analytics techniques

  • Determine best approach for each analysis and articulate pros/cons of methodology

  • Ensure quality of data used in analysis and all presentation material

  • Effectively manage multiple projects simultaneously, from long-term projects to shorter, ad-hoc projects

  • Automate standard deliverables and reduce repetitive processes for self and team

Business Insights & Cross Functional Partnerships

  • Manage internal client relationships and serve as the SME for analytics within the CRM function

  • Tell a story with data: gain buy-in from partners through the development and communication of compelling, easily understood analytics presentations

  • Provide strategic recommendations based on analyses tied to the organization's goals that will drive business results

  • Effectively communicate with analytics team members and business partners with varying levels of understanding regarding analytics discipline

Innovation & Technology

  • Lead innovation in data science methodologies and tools, staying abreast of industry developments and proactively exploring opportunities to advance organizational capabilities and maintain a competitive edge.

  • Implement cutting-edge tools and best practices to enhance analytics capabilities.

Staff Management & Development

  • Manage a team of data scientists
  • Mentor analysts regarding analytics best practices, methodologies, and programming techniques
  • Develop objective staff development strategies, effectively growing the capability sets of team and guiding analysts on their career advancement

Other duties as assigned

Minimum Knowledge/Skills/Abilities

Minimum Education

  • Bachelor's degree in relevant quantitative field required, Master's preferred

Minimum Special Certifications or technical skills

  • Fluent in data fundamentals: SQL, data manipulation using a procedural language (R, Python), statistics, experimentation, and modeling
  • Proven track record of using data to provide actionable business results

Minimum Type of experience the job requires

  • A minimum of 5 years of relevant work experience in data science for a consumer centric company
  • Proven experience partnering with business decision makers on advanced analytics topics
  • Expert-level experience with a wide range of quantitative methods that can be applied to business problems. This includes knowledge of modeling techniques and statistical concepts

Other

  • Work as a self-starter, not waiting for direction from senior leadership

Preferred Education

  • Advanced degree preferred in an analytical field (e.g. Statistics, Economics, Applied Math, Operations Research, Physics, Data Science fields)

Applicants in the U.S. must satisfy federal, state, and local legal requirements of the job.

At The Michaels Companies Inc., our purpose is to fuel the joy of creativity and celebration. As the leading destination for creating and celebrating in North America, we operate over 1,300 stores in 49 states and Canada and online at Michaels.comandMichaels.ca.The Michaels Companies, Inc. also owns Artistree, a manufacturer of custom and specialty framing merchandise. Founded in 1973 and headquartered in Irving, Texas, Michaels is the best place for all things creative. For more information, please visitwww.michaels.com.

At Michaels, we prioritize the wellbeing of our teams by providing robust benefits for both full-time and part-time Team Members. Our benefits include health insurance (medical, dental, and vision), paid time off, tuition assistance, generous employee discounts, and much more. For more information, visit www.michaels.com.

Michaels is an Equal Opportunity Employer. We are here for all Team Members and all customers to create, innovate and be better together.

Michaels is committed to the full inclusion of all qualified individuals. In keeping with this commitment, Michaels will assure that people with disabilities are provided reasonable accommodations. Accordingly, if a reasonable accommodation is required to fully participate in the job application or interview process, to perform the essential functions of the job, and/or to receive all other benefits and privileges of employment, please contact Customer Care at 1-800-642-4235 (1800-MICHAEL).

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Employment Type: FULL_TIME

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