Experience : 8–10 years overall, with 3+ years of Azure experience. Required Skills Strong hands-on experience with Azure Data Factory (ADF) — pipelines, data flows, triggers, integration runtimes, parameterization, erro…
Engineering & IT · Houston, TX
Data Scientist jobs in Houston, TX
Data scientists turn raw data into decisions and products, using statistics, experimentation, and machine learning to answer questions the business could not otherwise settle.
1,676
Open roles today
$38–$94/hr
Typical pay range
$127k
Median, full-time
6
Fresh in this list
No email, no resume, no sign-up. Save any listing below and you start anonymously.
You're signed in. Saving a listing drops it straight into your pipeline.
01
Open data scientist roles
12 shown of 1,676 · sorted by freshness
Foxconn Houston has several Lighthouse Factory plants manufacturing servers and server cabinets. The company is hiring dedicated data engineers to ensure its data is accessible, secure, and efficient. This role collabora…
Senior Data Engineer WhiteWater Express Car Wash — Houston, TX | Full-Time | On-Site| Location: 106 Vintage Park Blvd. Houston, TX 77070 Note: Position is not eligible for visa sponsorship. Must live within Houston, TX a…
JPMorganChase within the Corporate Technology Sector, you provide expertise and engineering excellence as an integral part of an agile data engineering team. To enhance, build, and deliver a trusted market leading Global…
solutions (RAG, prompt pipelines, vector search) Lead architecture decisions for scalable, cloud-native AI platforms Ensure data governance, security, and responsible AI practices Qualifications Requires completion of an…
NAVA Software is looking for a Lead Data Engineer Details: Lead Data Engineer Location: Houston TX Monday to Thursday onsite Duration: 6-12 months Position Overview The Lead Data Engineer is responsible for defining, imp…
ADF Data Engineer Houston, TX, 77079 Hire Type: Contract Experience: 5 8 years in data engineering with at least 3+ years on Azure. Azure Data Factory: Pipelines, data flows (mapping/wrangling), triggers, integration run…
the surrounding area are required. Welcome to Love's! The Data Engineer III designs, builds, and supports scalable data... ...III partners with Technology teams, business stakeholders, data scientists, data analysts, ven…
Join the ECI Group's Professional Technical Services Network as a contract Sr Data Engineer . This is a Houston based contract role with an anticipated 4-month duration with an estimated start date of August 24th. Note:…
Job Description: We are looking for early-career Data Analytics / Data Science professionals who are passionate about working with data and deriving meaningful insights. Candidates with internship experience, academic pr…
$117.3k - $179.86k
What You Can Expect We are looking for an AWS Data Engineering Advisor to build applications and accelerate delivery using Agentic AI coding. As the Data Engineering Advisor, you will report to Senior Data Architect, you…
3 days onsite, Houston TX Senior DB2 SQL Data Engineer We are seeking a Senior DB2 SQL Data Engineer with expert-level proficiency in SQL stored procedures and deep familiarity with the DB2 IBM iSeries system (not Z/OS,…
02
What data scientists earn in Houston
Hourly first — that's how the offer arrives
| Experience | Hourly | Annual, full-time |
|---|---|---|
| Entry level | $38–$52 | $78k–$108k |
| Mid level | $52–$71 | $108k–$147k |
| Senior | $68–$94 | $142k–$196k |
Adjusted for the Houston market from national ranges.
03
What employers ask for
The skills these listings keep naming
Python (pandas, scikit-learn)SQLStatistics and A/B testingMachine learning fundamentalsData visualizationExperiment designCommunicating with stakeholdersDomain and product sense
04
Interview questions worth rehearsing
With the thing the interviewer is actually listening for
Walk me through a data project that changed a decision.
Structure it as question, approach, finding, action. Projects that ended in a decision — even 'we did not launch' — beat technically impressive analyses that went nowhere.
How would you design an A/B test for a new feature?
Cover the metric, randomization unit, sample size, and duration, plus a pitfall like peeking or interference. Practical rigor is what is being tested.
Your model performs well offline but poorly in production. Why might that be?
Discuss train/serve skew, data leakage, distribution shift, and feedback loops. Listing several plausible causes and how you would check each is the strong answer.
Explain p-values or confidence intervals to a non-technical stakeholder.
Use plain language and a concrete scenario, and resist overstating certainty. They are testing whether your statistics survive translation.
How do you handle missing or messy data?
First ask why it is missing — the mechanism matters more than the imputation method. Then discuss options and how the choice affects conclusions.
When would you not use machine learning for a problem?
When a rule, a query, or a simple heuristic wins on cost and interpretability. Knowing when ML is overkill signals maturity.
How do you decide which metric a team should optimize?
Talk about proxy versus true goals, gameability, and counter-metrics. A story about a metric that backfired is very effective here.
05
Resume tips that move the needle
For data scientists specifically — generic advice costs you here
01
Lead every bullet with the business result — revenue, retention, cost — and put the method second.
02
Specify your stack concretely: Python libraries, SQL dialects, experimentation platforms, and any production ML experience.
03
Distinguish shipped work from research; 'model serving 2M users' and 'notebook analysis' are different claims.
04
Keep one or two public projects or publications linkable, tailored to the industry you are targeting.
05
Name the size and kind of data you worked with — event streams, tabular, text — so teams can map you to their problems.
06
Where this role goes
Typical progression
01
Junior Data Scientist
02
Data Scientist
03
Senior Data Scientist
04
Staff Data Scientist
05
Head of Data Science
Ten quiet minutes a day
Applying for data scientist jobs in Houston?
Robbi carries this page into your first day: your role, your city, your shift preference. Then it hands you a few small things each morning and keeps the pipeline honest.
Save what looks right here, then let Robbi hand you a few small things each morning and keep the follow-ups honest.
Start with this search
No email, no resume, no sign-up.
Open your tracker
Everything you saved is already there.