Data Scientist (Houston, Texas)
Hewlett Packard Enterprise
Houston, TX · Posted October 12, 2026
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Where Houston, TX ranks
Where Houston, TX placed in our monthly rankings, month by month. Each month stays online at its own address.
November 2026
- #1Best cities for manufacturing and industrial jobs887 openings · of 100
- #1Best cities for energy and utilities jobs704 openings · of 27
- #1Cities hosting the most energy & utilities conferences11 conferences · of 15
- #2Cities with the most jobs that do not need a four-year degree in the Southwest481 jobs · of 38
- #2Best cities for software and engineering jobs in the Southwest1,018 openings · of 33
- #2Best all-round cities for mid-career professionals in the Southwest74 / 100 · of 15
Rankings about data & analytics jobs
- Best cities for data and analytics jobs #1 New York (1,713 openings)
- Best cities for data and analytics pay after cost of living #1 Foster ($232k)
- Most requested AI skills in data and analytics jobs #1 Machine learning engineering (17.1%)
- AI tools named most often in data and analytics jobs #1 Databricks (7.6%)
- Employers with the most data and analytics jobs #1 Amazon (711 roles)
Data & Analytics jobs · Top Data & Analytics employers · All rankings
Pay compared with the market
This listing does not state pay. Across 228 open data scientist listings that state pay, the middle half runs $126,500 to $175,500 and the median is $151,500.
Listed pay is what employers advertise, not what people are paid.
How AI is used in this kind of work
Among data scientists, AI is already used for a large share of the tasks. Measured exposure for data scientists: 46% (high).
Share of this job’s tasks that AI is already used for at work, from real usage. It is not a forecast of job loss, and a low number means no use seen yet. Source: Anthropic Economic Index.
About the job
Seeking a Data Scientist to design and develop advanced analytic models, transforming structured and unstructured data into actionable insights. Key responsibilities include applying advanced statistical and computational methods, and embedding analytics into business processes. Ideal candidates will have experience in data science and strong communication skills.