encouraged to apply. ***** **** We are unable to sponsor candidates at this time. ***** Hybrid onsite in Memphis Overview Seeking a Data Infrastructure Engineer to support and optimize SQL Server environments while devel…
Engineering & IT · Memphis, TN
Data Scientist jobs in Memphis, TN
Data scientists turn raw data into decisions and products, using statistics, experimentation, and machine learning to answer questions the business could not otherwise settle.
322
Open roles today
$34–$85/hr
Typical pay range
$114k
Median, full-time
6
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
11 shown of 322 · sorted by freshness
Performs data analytics and analysis utilizing Excel, SQL and/or SAS to ensure accurate pay in accordance with the crew’s collective bargaining agreement (CBA). Responsible for planning, overall coordination, status repo…
for designing, developing, and optimizing database solutions while creating automated processes to improve operational efficiency, data management, and reporting. Key Responsibilities Design, develop, test, and maintain…
$97.73k - $162.88k
Req ID: 382980 NTT DATA strives to hire exceptional, innovative and passionate individuals who want to grow with us. If you want to be part of an inclusive, adaptable, and forward-thinking organization, apply now. We are…
$86.32k - $154.96k
The Center for Bioimage Informatics at St. Jude Children's Research Hospital is seeking two Senior Image Data Scientists to design, develop, validate, document, and operate image-analysis pipelines and visualization solu…
of the Product Lifecycle Management (PLM) system to support product development and lifecycle processes. This role manages product data to ensure accuracy and consistency while serving as the primary point of contact for…
win. The individual will partner closely with executive leadership to evaluate opportunities, define entry points, and deliver clear, data- driven recommendations on where and how to invest. Success in this role requires…
Position: Service Engineer ( Data Center) Location: Memphis, Tennessee 38118 Duration: 4+ months Job ID: 178583 Job Overview: The Service Engineer will be responsible for providing technical support, maintenance, and tro…
$86.32k - $154.96k
are seeking a talented, highly motivated Bioinformatics Research Scientist to join the Center of Excellence in Pediatric Immuno-Oncology (... ...innovative solutions for analyzing and visualizing omics data related to im…
$78k - $139.36k
work closely with researchers in the Center of Excellence for Data Driven Discovery. Job Responsibilities: Analyze biomedical... ...programming, and quality check. Assist senior analysts and scientists in the courses and…
$104k - $186.16k
Bioinformatics Research Scientitst or Senior Bioinformatics Research Scientist. CENOS is a collaborative research environment that aims to... .... The Senior Bioinformatics Research Scientist performs data analysis, data…
02
What data scientists earn in Memphis
Hourly first — that's how the offer arrives
| Experience | Hourly | Annual, full-time |
|---|---|---|
| Entry level | $34–$47 | $70k–$97k |
| Mid level | $47–$63 | $97k–$132k |
| Senior | $62–$85 | $128k–$176k |
Adjusted for the Memphis 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 Memphis?
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.