We are looking for a QA Analyst to support software testing initiatives for a high-visibility enterprise program in Jacksonville, Florida. This role partners closely with development and program teams to ensure applicati…
Data Scientist jobs in Jacksonville, 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.
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.
Open data scientist roles
12 shown of 439 · sorted by freshness
objectives into scalable technical strategies and deliver end-to-end data solutions that maximize product value. Design and implement AI-... ...study plus 7 years of experience in the job offered or as Data Scientist, Bu…
Syms Strategic Group (SSG) is seeking a talented Data Platform Engineer Location: Remote Department: Veterans Affairs (VA) Type: Full Time Min. Experience: Experienced Security Clearance Level: Public Trust (MBI) Salary…
deliver more impact together.Role description:As an Electrical Engineer you will lead the electrical discipline of multiple concurrent data center projects through pursuit, proposal, design, and construction phases. You…
within a Line of Business or business discipline. Key responsibilities include leveraging databases to acquire client and performance data, transforming extracted data into meaningful insights and trends, and delivering…
DescriptionAt HDR, our employee-owners are fully engaged in creating a welcoming environment where each of us is valued and respected, a place where everyone is empowered to bring their authentic selves and novel ideas t…
activities • Manages problem or escalated tickets and tasks and out of cycle requests from systems/software owners • Collects and presents data for reporting and planning • Assists with developing tactical strategies, pr…
DescriptionAt HDR, our employee-owners are fully engaged in creating a welcoming environment where each of us is valued and respected, a place where everyone is empowered to bring their authentic selves and novel ideas t…
streamline administration and repeatable tasks.• Contribute to secure cloud operations by applying sound controls for access, compliance, data protection, and environment governance.• Deliver responsive internal support…
We look for 3+ years of relevant professional experience. Alternatively, we consider 1.5 years of experience in an Associate Data Engineer role or in data analytics. We require experience with Posit/R. We require experie…
Jacksonville, FL Onsite Start/End Dates: 10/6/2026 - 10/5/2027 Job Description: The role Senior hands-on engineer to own a data and event backbone - how events flow, and how live and historical data are separated, stored…
Job Description Summary The Sr Staff Data Scientist will work individually and / or lead horizontal teams to develop AI / ML / advanced analytics solutions which bring demonstrable value to Unison (a GE Aerospace busines…
What data scientists earn in Jacksonville
Hourly first — that's how the offer arrives
| Experience | Hourly | Annual, full-time |
|---|---|---|
| Entry level | $36–$50 | $75k–$103k |
| Mid level | $50–$68 | $103k–$141k |
| Senior | $65–$90 | $136k–$188k |
Adjusted for the Jacksonville market from national ranges.
What employers ask for
The skills these listings keep naming
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.
Resume tips that move the needle
For data scientists specifically — generic advice costs you here
Lead every bullet with the business result — revenue, retention, cost — and put the method second.
Specify your stack concretely: Python libraries, SQL dialects, experimentation platforms, and any production ML experience.
Distinguish shipped work from research; 'model serving 2M users' and 'notebook analysis' are different claims.
Keep one or two public projects or publications linkable, tailored to the industry you are targeting.
Name the size and kind of data you worked with — event streams, tabular, text — so teams can map you to their problems.
Where this role goes
Typical progression
Applying for data scientist jobs in Jacksonville?
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.