is generated, transmitted, and delivered as global energy demands grow. From massive data centers to modernizing transmission systems, our industry-recognized engineers and scientists have been at the forefront of grid t…
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.
222
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
10 shown of 222 · sorted by freshness
$97.73k - $162.88k
Req ID:382980NTT 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 cu…
headquartered in Ann Arbor, Michigan that offers strategic talent solutions to our clients world-wide. Position: Service Engineer AI Data Center Location: Memphis, TN, 38118 Duration: 5 Months Job Type: Temporary Assignm…
Reference: PR/612007_1790616564Director, Global Sourcing - Specialty ChemicalsLocation: Memphis, TN (Fully Onsite)Relocation: Relocation Assistance ProvidedPosition OverviewOur client is seeking a highly strategic and co…
$87.12k - $151.25k
Req ID:375782NTT 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 cu…
$118.7k - $243.7k
Work you’ll do Assist in the design, implementation, and sustainment of zero trust architectures to safeguard critical assets and data against emerging cyber threats.Serve as the subject matter expert (SME) for applicati…
$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…
$125.84k - $238.16k
that improve outcomes for children with catastrophic diseases through innovation, collaboration, and scientific excellence. The Data Scientist, Clinical Machine Learning and Flow Cytometry, will play a critical role in a…
$104k - $186.16k
The Senior Bioinformatics Research Scientist performs data analysis, data visualization, statistical analysis, experimental design, database development, mathematical modeling, and novel method development. Provides bioi…
$78k - $139.36k
sickle cell disease-related outcomes, including project conception, data analysis, and manuscript preparation. Specific responsibilities... ..., there will be opportunity for collaboration with external scientists, as we…
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.