$75k - $80k
Salary: $75,000 - 80,000 per year Requirements: MS or PhD in Data Science, Computer Science, Statistics, or a related field.... ...Python Security More: We are seeking a senior data scientist for a contract role based in…
Engineering & IT · Fort Worth, TX
Data Scientist jobs in Fort Worth, 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.
328
Open roles today
$38–$93/hr
Typical pay range
$126k
Median, full-time
10
Fresh in this list
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Open data scientist roles
12 shown of 328 · sorted by freshness
reports, testing protocols, and trend analyses. • Write or revise standard quality control operating procedures. • Supply quality control data necessary for regulatory submissions. • Receive and inspect raw materials. •…
Wire Data EngineerLocation: Fort Worth, TXJob ID: #73178Pay Range: $61-72Job Description Job Summary: • Developing system requirements, architecture, and interfaces for the aircraft wiring systems to integrate aircraft s…
$50 per hour
Requisition ID: 12492ERP Eligible?: YesERP amount: $50 LMRecognitionRelocation: PossibleType: ExemptShift: 1Clearance Prior to Start: Interim SecretFinal Clearance: Secret with Investigation or CV date within 5 yearsPay…
$85k - $148.7k
abstract ideas into realities that transform the world for good. Your impact Jacobs is actively seeking a skilled Mid-Level Data Scientist to join our Advisory Solutions Group, specifically within the Asset Management Di…
statistical problems. Build predictive forecasting systems to model future performance on known change. Support the development of data products through exploratory data analysis, feature engineering, and model building.…
freedom of making those decisions? Do you enjoy working with others to design, deploy and administer applications? If so, the Senior Data Architect position could be your calling.At Frost, it’s about more than a job. It’…
$80k - $139k
events.Prepare, analyze, and validate balance sheet schedules, account reconciliations, and supporting documentation.Perform detailed data analysis and financial review procedures to identify inconsistencies, cut off iss…
$72.15k - $122.66k
interfacing with our UK-based counterparts as well as our Lockheed Martin customer. The successful candidate will take ownership of various data analysis, reporting, and development activities to facilitate the creation…
$27.5 per hour
Data Engineering Intern – Summer 2027 Location: North Richland Hills, TX Pay: $27.50/hour Schedule: 40 hours/week | 10-Week Summer Internship Housing: Provided for eligible interns About Ragle Since 1993, Ragle Inc. has…
$75 - $80 per hour
Position: Sr. Data Scientist Location: Fort Worth, Texas Duration: Contract Job ID: 178617 Local to Dallas, TX only - w2 or c2c accepted Job Overview: We are seeking a highly skilled and experienced Sr. Data Scientist to…
Please find the detailed job description below. Position: Sr Data Scientist AI/ML Location: Fort Worth, Texas Duration: Contract Job ID: 179088 Job Overview: We are seeking a highly skilled and motivated Sr Data Scientis…
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What data scientists earn in Fort Worth
Hourly first — that's how the offer arrives
| Experience | Hourly | Annual, full-time |
|---|---|---|
| Entry level | $38–$51 | $78k–$107k |
| Mid level | $51–$70 | $107k–$146k |
| Senior | $68–$93 | $141k–$194k |
Adjusted for the Fort Worth market from national ranges.
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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.
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Resume tips that move the needle
For data scientists specifically — generic advice costs you here
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Lead every bullet with the business result — revenue, retention, cost — and put the method second.
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Specify your stack concretely: Python libraries, SQL dialects, experimentation platforms, and any production ML experience.
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Distinguish shipped work from research; 'model serving 2M users' and 'notebook analysis' are different claims.
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Keep one or two public projects or publications linkable, tailored to the industry you are targeting.
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Name the size and kind of data you worked with — event streams, tabular, text — so teams can map you to their problems.
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Where this role goes
Typical progression
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Junior Data Scientist
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Data Scientist
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Senior Data Scientist
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Staff Data Scientist
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Head of Data Science
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