create thriving communities while protecting the natural systems that sustain them. We're seeking an experienced Senior Environmental Scientist to join our growing Environmental team and play a key role in delivering imp…
Engineering & IT · Fresno, CA
Data Scientist jobs in Fresno, CA
Data scientists turn raw data into decisions and products, using statistics, experimentation, and machine learning to answer questions the business could not otherwise settle.
82
Open roles today
$37–$91/hr
Typical pay range
$124k
Median, full-time
7
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 82 · sorted by freshness
$120k - $200k
Mechanical Project Manager Location: Fresno, CASalary: $120K-$200K base (salary depends on experience)The OpportunityA premier, full-service mechanical contractor in the Fresno/Central Valley is seeking an experienced Me…
profitability objectives. Collaborate with Marketing to evaluate campaign effectiveness, market engagement, and commercial outcomes, using data and insights to refine product positioning and market priorities. Provide co…
Overview Opportunities for you! Recognized by Newsweek as one of America's Greatest Workplaces for 2026 Eligible for annual incentive program, progressive sign-on incentive and comprehensive relocation package Community…
$110.3k - $165.5k
contaminants study and clearance analysis for transmission line design.Experience with lattice towers.Experience with geotechnical data interpretation for foundation design and embedment calculations for a variety of tra…
$80.3k - $116.5k
applications.Experience with using GPS/GIS technology (e.g., ArcGIS Pro, Online, and/or Field Maps) to collect biological resources survey data, map vegetation communities, and delineate jurisdictional waters.Must have a…
skills evaluations, develops training materials, and ensures templates and schedules are accurate and thorough. Performs advanced data entry for the master scheduling program, develops statistical reports, and ensures pr…
$83.6k - $145k
Do you thrive in an imaginative and inventive environment? Are you someone who flourishes when part of a cohesive team where collaboration and ideas flow freely? Want to work for a firm that is taking concrete actions to…
$140k - $200k
The mission of Speechify is to make sure that reading is never a barrier to learning. Over 50 million people use Speechify’s text-to-speech products to turn whatever they’re reading – PDFs, books, Google Docs, news artic…
$23 - $28 per hour
About MGE MGE Underground is a growing utility infrastructure contractor serving utility companies from our Paso Robles headquarters and regional hubs throughout California. Our mission is to support our clients’ expandi…
$75k - $120k
Project Manager needed for a well-respected, growing company! This company has many years of proven excellence and shows no signs of slowing down!! Do you bring 10+ years of HVAC, MEP project management experience? If so…
$90k - $125k
Job Title: MRF (Material Recovery Facility Manager)/ Recycling Manager Employment Type: Full-Time Company Overview: Our client, a leader in waste and recycling services, is seeking an experienced MRF Manager to oversee t…
02
What data scientists earn in Fresno
Hourly first — that's how the offer arrives
| Experience | Hourly | Annual, full-time |
|---|---|---|
| Entry level | $37–$50 | $76k–$104k |
| Mid level | $50–$68 | $104k–$142k |
| Senior | $66–$91 | $138k–$190k |
Adjusted for the Fresno 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 Fresno?
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.