$40.89k - $115k
integrity, and responsibility. Brightstar has approximately 6,000 employees. For more information, please visit . Overview The Data Center Operations Analyst II supports the stability, reliability, and continuous operati…
Engineering & IT · Orlando, FL
Data Scientist jobs in Orlando, FL
Data scientists turn raw data into decisions and products, using statistics, experimentation, and machine learning to answer questions the business could not otherwise settle.
659
Open roles today
$38–$94/hr
Typical pay range
$127k
Median, full-time
5
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 659 · sorted by freshness
$66k
strategies. Compensation starts at $66,000/year. What will I be doing in this role? Collect, organize, and analyze marketing data from various sources such as campaigns, member behavior, demographics, channels, and marke…
Florida is looking for a talented Senior Research Analyst. This is a full-time position, and the candidate will provide relevant research data, analysis, and support to our national and local advertising teams. The job o…
Interested in Technology but Don’t Have Traditional IT Experience? A career in Software Quality Assurance can combine analytical thinking, communication, problem-solving, and technology without requiring every applicant…
$179.5k - $240.6k
Merchandise lines of business, as well as other initiatives, including MyDisneyExperience and Hey, Disney! As the Senior Manager, Data Engineering, you will lead a team of engineers and product managers responsible for o…
software industry, is looking for a talented and experienced Data Platform Engineer to join their innovative team. At Worth AI,... ...trustworthy, well-documented datasets Work closely with data scientists, analysts, and…
$148.3k - $198.8k
Merchandise lines of business as well as other initiatives including the MyDisneyExperience app and Hey, Disney! This role sits in the Data Products & Platform organization within Disney Experiences Technology (DXT). It…
We are seeking a detail-oriented and analytical Data Analyst to collect, analyze, and interpret data that supports business operations and informed decision-making. The ideal candidate will work with cross-functional tea…
$91.37k - $100k
Intelligence Analyst Muzom Transportation, Inc. is seeking a highly specialized Business Intelligence Analyst with advanced expertise in data science, business intelligence, and analytics. This role is critical to the st…
automate KYB, underwriting, and risk decisions on regulated financial data. You’ll own agents end-to-end architecture, retrieval, tools,... ...and partner closely with our Chief AI Officer, applied scientists, and platfo…
limited to, program contract deliverables, engineering software and documentation, serialization requirements, and bill of material data. You will use configuration management tools, and communicate status through report…
$85k - $95k
marketing plays a key role in driving attendance and performance. We are hiring a Business Analyst to turn performance and marketing data into actionable insights that directly impact how we run and improve our events ac…
02
What data scientists earn in Orlando
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 Orlando 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 Orlando?
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.