vendors (Corp-to-Corp/C2C) for this opportunity. We are unable to sponsor at this time. Relocation assistance is not provided. Senior Data Platform Engineer Overview We are seeking a Senior Data Platform Engineer to join…
Engineering & IT · Raleigh, NC
Data Scientist jobs in Raleigh, NC
Data scientists turn raw data into decisions and products, using statistics, experimentation, and machine learning to answer questions the business could not otherwise settle.
674
Open roles today
$38–$95/hr
Typical pay range
$129k
Median, full-time
8
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 674 · sorted by freshness
$92k - $130k
the rental residential real estate business. To learn more, visit . JOB DESCRIPTION SUMMARY Greystar's D²AI organization ( Data, Digital, and AI) is responsible for the platforms, processes, and practices that power anal…
$100k - $150k
Bright Vision Technologies is a technology consulting and software development company delivering cloud, AI, data, and enterprise solutions across the United States. This is a fantastic opportunity to join an established…
Hiring Alert | Senior Data Engineer Location: Raleigh, NC / Phoenix, AZ / Dallas, TX (Onsite) Employment Type: Full-Time Experience Required: 6 10 Years Visa Type: USC / GC Only Must-Have Skills: Enterprise Data Pipeline…
Position: Lead Data Scientist Location: Cary, NC (Onsite) Duration: 6 Months (Contract) We're looking for someone with: ~8+ years of experience in Data Science, AI/ML, or Machine Learning Engineering ~ Strong hands-on ex…
Role: NC FAST Power BI and Data Engineer Location: Raleigh, NC 27607 Duration: 12 Months Description: Client is seeking a Data Engineer for design, development, and optimization of a cloud-based analytics environment bui…
solutions. We have an immediate opening for the below position with one of our premium clients. Job Description Job Title: Data Engineer with Core Power BI Location: Raleigh, NC (Hybrid) Relocation: Yes from nearby state…
Job Requirements 8+ years of professional experience in Data Science specializing in NLP and production-grade LLM applications. Proficiency in Retrieval-Augmented Generation (RAG) and designing complex information retrie…
Role Description ~12+ years of experience as a Data Engineer. ~ Design, develop, and maintain scalable, resilient data engineering solutions. ~ Strong expertise in Snowflake, Python, PySpark, DBT, Qlik Replicate, and Air…
development program options – leadership development, professional development curriculums, and Nanodegree options in both technology and data science Professional development gained from conference attendance and partic…
$90k - $185k
life sciences industry. The Senior Migration Architect will lead customer migration implementations by providing expertise with data and document content migration, Vault API, Vault migration tools, and Vault Platform be…
Project Details: This Sr. Engineer is responsible for the design, architecture and deployment of data discovery and inventory platform. Requirements: ~10 years full-stack engineering experience (Must have experience in P…
02
What data scientists earn in Raleigh
Hourly first — that's how the offer arrives
| Experience | Hourly | Annual, full-time |
|---|---|---|
| Entry level | $38–$52 | $79k–$109k |
| Mid level | $52–$71 | $109k–$148k |
| Senior | $69–$95 | $144k–$198k |
Adjusted for the Raleigh 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 Raleigh?
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.