$69.4k - $99.2k
comprehensive leadership and technical development academies to help build your skills and capabilities. Summary As a Senior Data Analyst at Gainwell, you can contribute your skills as we harness the power of technology…
Engineering & IT · Las Vegas, NV
Data Scientist jobs in Las Vegas, NV
Data scientists turn raw data into decisions and products, using statistics, experimentation, and machine learning to answer questions the business could not otherwise settle.
438
Open roles today
$38–$96/hr
Typical pay range
$130k
Median, full-time
4
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of a global team of over 50,000 planners, designers, engineers, scientists, digital innovators, program and construction managers and... ...deliver a better world. Join us. Job Description The Data Center Commissioning E…
a global network of experts – planners, designers, engineers, scientists, consultants, program and construction managers – leading the change... ...~4 or more years of relevant engineering experience. ~ Prior data center…
Data Analyst (Local Candidates Only)-Nevada Location: Nevada (Local Candidates Only) Employment Type: Contract Experience: Minimum 8+ Years Required About the Role We are seeking an experienced Data Analyst to support en…
$125k - $135k
It's a role that combines product coordination with hands-on quality assurance, so you'll spend your time both digging into product data and making sure features hold up before they reach users. If you like working with…
Company Description The Engineer – Data Security is responsible for technical design and execution of the Data Security Program for Wynn Resorts. Reporting to the Executive Director of Information Security, this role wil…
Key Responsibilities • Lead, coach, and develop a team of data engineers, establishing clear expectations for delivery, technical quality, documentation, and production support. • Own the planning and delivery of data en…
Azure/Databricks migration powering client's next-generation curated analytics platform as well as coordinate delivery across other data- related initiatives. This role sits onsite in Las Vegas and requires strong leader…
interview questions. This is not a basic chatbot project. The system must handle real recruitment documents, protect sensitive candidate data, identify uncertain results, and avoid making claims that are not supported by…
company that champions growth and development? Join a global digital infrastructure services provider supporting network operators, data centers, wireless networks, and subsea infrastructure across more than 90 countries…
$119.66k - $122k
Sripadha Inc., a Las Vegas, NV based IT Consulting Services Firm has multiple openings for JOB ID 11335: Data Engineer. Job duties include: Design, develop, and operate high-scale applications focusing on operational exc…
$75.5k - $80k
Sripadha Inc., a Las Vegas, NV-based IT Solutions Firm has multiple openings for JOB ID 10644: Business Intelligence Analyst Job duties include: Work with Users, Product Manager, and the scrum team to gather, understand…
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What data scientists earn in Las Vegas
Hourly first — that's how the offer arrives
| Experience | Hourly | Annual, full-time |
|---|---|---|
| Entry level | $38–$53 | $80k–$110k |
| Mid level | $53–$72 | $110k–$150k |
| Senior | $70–$96 | $145k–$200k |
National ranges — pay in Las Vegas typically tracks these.
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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
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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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