Data Scientist Jobs in Houston, TX
Data Scientist jobs in Houston are in strong demand, concentrated in the Energy Corridor, Midtown, and the Texas Medical Center, with hiring active in energy, healthcare, and financial services. Employers adding data scientists right now include Capgemini, MaxIT Consulting - Max Corporate, and PwC. Scan the live roles below and apply to whichever ones fit.
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We are seeking a highly analytical and detail-oriented Data Scientist with experience working with North American Industry Classification System (NAICS) codes, large datasets, and advanced analytics.
This individual will be responsible for analyzing, classifying, and interpreting business data to identify industry trends, market opportunities, and potential clients.
The ideal candidate will have strong technical expertise in Python, SQL, data modeling, and machine learning, along with an understanding of industry classification systems.
Key Responsibilities
- Analyze large datasets to identify business trends, industry patterns, and market opportunities.
- Utilize NAICS codes to accurately classify businesses by industry and sector.
- Develop automated processes to assign, validate, and update NAICS codes across company databases.
- Build predictive models to identify prospective clients and business development opportunities.
- Clean, organize, and standardize large volumes of company and industry data.
- Develop algorithms to match companies with appropriate NAICS classifications based on business descriptions, products, and services.
- Use machine learning and natural language processing (NLP) to improve industry classification accuracy.
- Identify discrepancies in NAICS classifications and recommend corrections.
- Work closely with sales, marketing, business development, and leadership teams to provide actionable insights.
- Create dashboards, reports, and visualizations to communicate findings to stakeholders.
- Integrate information from external business databases and public industry datasets.
- Continuously improve data quality, classification methodologies, and analytical processes.
Qualifications Required:
- Bachelor’s degree in data science, Computer Science, Statistics, Mathematics, or a related field.
- 3+ years of experience in data science, data analytics, or a related technical field.
- Strong proficiency in Python and SQL.
- Experience working with large business datasets.•Knowledge of NAICS codes and industry classification methodologies.
- Experience with machine learning, predictive analytics, and statistical modeling.
- Strong data cleansing, validation, and data management skills.
- Ability to translate complex data into meaningful business insighs
Preferred:
- Experience working with NAICS and SIC classification systems.
- Familiarity with business intelligence platforms such as Power BI or Tableau.
- Experience with NLP, text classification, and automated industry mapping.
- Experience with business databases such as Dun & Bradstreet, ZoomInfo, or similar platforms.
- Knowledge of market segmentation, lead scoring, and business intelligence.
- Experience with cloud platforms such as AWS, Azure, or Google Cloud.
alliant offers a comprehensive compensation and benefits package including 100% employer paid medical /dental premiums for single coverage for certain options, 401(k) matching, PTO, company provided life insurance and disability, onsite gym and group exercise classes, paid covered parking, and more!
Do Work That Matters. alliant
We are seeking a highly analytical and detail-oriented Data Scientist with experience working with North American Industry Classification System (NAICS) codes, large datasets, and advanced analytics.
This individual will be responsible for analyzing, classifying, and interpreting business data to identify industry trends, market opportunities, and potential clients.
The ideal candidate will have strong technical expertise in Python, SQL, data modeling, and machine learning, along with an understanding of industry classification systems.
Key Responsibilities
- Analyze large datasets to identify business trends, industry patterns, and market opportunities.
- Utilize NAICS codes to accurately classify businesses by industry and sector.
- Develop automated processes to assign, validate, and update NAICS codes across company databases.
- Build predictive models to identify prospective clients and business development opportunities.
- Clean, organize, and standardize large volumes of company and industry data.
- Develop algorithms to match companies with appropriate NAICS classifications based on business descriptions, products, and services.
- Use machine learning and natural language processing (NLP) to improve industry classification accuracy.
- Identify discrepancies in NAICS classifications and recommend corrections.
- Work closely with sales, marketing, business development, and leadership teams to provide actionable insights.
- Create dashboards, reports, and visualizations to communicate findings to stakeholders.
- Integrate information from external business databases and public industry datasets.
- Continuously improve data quality, classification methodologies, and analytical processes.
Qualifications Required:
- Bachelor’s degree in data science, Computer Science, Statistics, Mathematics, or a related field.
- 3+ years of experience in data science, data analytics, or a related technical field.
- Strong proficiency in Python and SQL.
- Experience working with large business datasets.•Knowledge of NAICS codes and industry classification methodologies.
- Experience with machine learning, predictive analytics, and statistical modeling.
- Strong data cleansing, validation, and data management skills.
- Ability to translate complex data into meaningful business insighs
Preferred:
- Experience working with NAICS and SIC classification systems.
- Familiarity with business intelligence platforms such as Power BI or Tableau.
- Experience with NLP, text classification, and automated industry mapping.
- Experience with business databases such as Dun & Bradstreet, ZoomInfo, or similar platforms.
- Knowledge of market segmentation, lead scoring, and business intelligence.
- Experience with cloud platforms such as AWS, Azure, or Google Cloud.
alliant offers a comprehensive compensation and benefits package including 100% employer paid medical /dental premiums for single coverage for certain options, 401(k) matching, PTO, company provided life insurance and disability, onsite gym and group exercise classes, paid covered parking, and more!
Do Work That Matters. alliant
See All 138+ Data Scientist Jobs in Houston
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Find Data Scientist JobsData Scientist Job Market in Houston
Who's Hiring
- Capgemini12
- MaxIT Consulting - Max Corporate12M
- PwC6
- SLB6
- ENGIE6
Top Industries Hiring
- Technology & Software18
- Consulting & Professional Services12
- Energy6
- Artificial Intelligence6
- Construction & Real Estate6
Data Scientist Jobs in Houston: Frequently Asked Questions
How do I get a data scientist job in Houston?
Focus your search on Houston's three dominant hiring sectors: energy companies in the Energy Corridor, health systems and research institutions around the Texas Medical Center, and financial services firms in Midtown and Downtown. Candidates who can work with geospatial data, IoT sensor output, or clinical datasets stand out here. Networking through local data science meetups and Rice University or University of Houston alumni channels also opens doors that job boards alone won't.
Which companies hire data scientists in Houston?
Employers hiring data scientists in Houston right now include Capgemini, MaxIT Consulting - Max Corporate, and PwC, based on current listings on Migrate Mate as of November 2026. Houston's hiring base skews toward large energy operators, integrated health systems, and regional banks, alongside a growing cluster of tech-enabled startups working on oilfield analytics and digital health.
Are there remote data scientist jobs in Houston?
Yes, though availability depends on the sector. Analytical and modeling-focused roles are well suited to remote work, while positions tied to proprietary energy infrastructure or on-site clinical data often require in-person presence. About 64% of data scientist openings tied to Houston are remote or hybrid as of November 2026, with the highest remote share coming from software and fintech employers rather than energy or medical center organizations.
How can I get a data scientist job in Houston with little or no experience?
The most realistic entry path in Houston is targeting junior analyst or associate data scientist roles at mid-size energy services companies, regional health systems, or Houston-based insurers, which hire entry-level candidates more consistently than the major integrated firms. Building a portfolio with publicly available energy production or healthcare claims data signals direct relevance to Houston employers. Internship pipelines at Rice University and the University of Houston also place graduates with local employers before graduation.
Which industries hire the most data scientists in Houston?
Houston data scientist roles concentrate in Technology & Software, Consulting & Professional Services, and Energy, based on current listings on Migrate Mate as of November 2026. Houston's position as the energy capital of the U.S. drives outsized demand for data scientists who can model reservoir performance and supply chain risk, while the Texas Medical Center, the world's largest medical complex, sustains a parallel hiring base in clinical analytics and health informatics.
See All 138+ Data Scientist Jobs in Houston
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