ZipRecruiter

Log In

1

Data Science Jobs in Madera, CA (NOW HIRING)

Lifelong Learning

Social Science Teacher

Clovis, CA · On-site

$81K - $103K/yr

Develop, review and regularly update personalized academic plans based on students transcripts, assessment data, career pathway planning (CTE), post-secondary goals, and progress towards those goals

Imh

Medical Lab Scientist PRN

Fresno, CA

Recording and Reporting Data: Accurately recording test results and preparing detailed reports for ... Science * Time Management Qualifications: * Bachelor's degree in clinical laboratory/medical ...

Inizio

Territory Sales Representative

Fresno, CA · On-site

$105K - $195K/yr

... data, science, and technology to deliver bespoke engagement solutions that help clients reimagine how they engage with their patients, payers, people, and providers to improve treatment outcomes. Our ...

Verdantas

Staff Scientist I

Fresno, CA · Hybrid

$50K - $60K/yr

We partner with clients to deliver smart, data-driven solutions to complex environmental and ... Bachelor's degree in environmental science, engineering, or related field * 0-2 years of experience ...

Verdantas

Senior Scientist (Part-Time)

Fresno, CA · On-site

$42 - $47/hr

... scientists, engineers, geologists, and technical specialists, embedded in a people-focused culture ... We partner with clients to deliver smart, data-driven solutions to complex environmental and ...

previous pagenext page

Showing results 21-40

All JobsData Science JobsData Science Jobs in Madera, CA

Data Science information

See Madera, CA salary details

$38.4K

$125.6K

$201.1K

How much do data science jobs pay per year?

As of Aug 22, 2026, the average yearly pay for data science in Madera, CA is $125,629.00, according to ZipRecruiter salary data. Most workers in this role earn between $100,800.00 and $139,200.00 per year, depending on experience, location, and employer.

What is data science?

Data science is an interdisciplinary field that uses scientific methods, algorithms, and systems to extract insights and knowledge from structured and unstructured data. It combines skills from statistics, computer science, and domain expertise to analyze and interpret complex data sets. Data scientists work with large amounts of data to identify patterns, make predictions, and help organizations make data-driven decisions.

What does a data scientist do?

As a Data Scientist, you are qualified to work in such diverse fields as research and development, politics, advertising and marketing, technology, healthcare, government, and higher education as well as multiple others. In general, your duties and responsibilities will be to compile and analyze relevant statistics and turn those numbers into algorithms that reveal insights that can be used by other researchers in their areas of study. Data Science can reveal things like consumer buying habits or the likelihood of success for a course of action. Other duties might vary, depending on your unique field of specialty. Related areas in which a Data Scientist might wish to focus include work as a Data Analyst, Machine Learning Engineer, and Project Manager.

What are the key skills and qualifications needed to thrive as a data scientist, and why are they important?

To thrive as a Data Scientist, you need a strong background in statistics, programming (often Python or R), and data analysis, usually supported by a degree in a quantitative field. Familiarity with machine learning libraries (like scikit-learn or TensorFlow), big data tools (such as Hadoop or Spark), and data visualization platforms is typically required. Critical thinking, problem-solving, and effective communication are vital soft skills for translating complex data insights into actionable business strategies. These skills and qualities are essential for extracting value from data, driving informed decisions, and effectively collaborating with multidisciplinary teams.

What are some common challenges faced by data scientists when working with real-world datasets?

Data scientists often encounter challenges such as missing or inconsistent data, unstructured formats, and noisy information in real-world datasets. Cleaning and preprocessing data to ensure its quality can be time-consuming but is critical for building accurate models. Additionally, data scientists may work closely with domain experts and other team members to better understand the data's context and ensure their analyses align with business objectives. Overcoming these challenges requires strong problem-solving skills and effective collaboration within cross-functional teams.

What is the difference between Data Science vs Data Analyst?

AspectData ScienceData Analyst
Required skillsStatistics, programming (Python, R), machine learningData visualization, SQL, basic statistics
Work environmentDeveloping models, predictive analytics, researchReporting, data cleaning, descriptive analysis
Tools usedPython, R, Jupyter, TensorFlowExcel, SQL, Tableau, Power BI
Industry usageTech, finance, healthcare, e-commerceRetail, marketing, finance, healthcare

Data Science and Data Analyst roles often overlap but differ mainly in scope. Data Scientists focus on building predictive models and advanced analytics, requiring programming and machine learning skills. Data Analysts primarily handle data cleaning, reporting, and visualization. Both roles are essential in data-driven industries, but Data Science is more technical and research-oriented, while Data Analysis emphasizes interpreting data for business insights.

Is a data scientist in high demand?

Data scientists are in high demand across many industries due to the increasing reliance on data-driven decision making. The role requires skills in programming, statistics, and machine learning, and job growth is expected to continue as organizations expand their data capabilities.

What jobs can a data scientist do?

A data scientist can work in roles such as data analyst, machine learning engineer, data engineer, or business intelligence analyst. These roles involve analyzing large datasets, developing predictive models, and using tools like Python, R, and SQL to support decision-making across various industries.
More about Data Science jobs

What are the most commonly searched types of Data Science jobs in Madera, CA?

The most popular types of Data Science jobs in Madera, CA are:

What are popular job titles related to Data Science jobs in Madera, CA?

For Data Science jobs in Madera, CA, the most frequently searched job titles are:

What cities near Madera, CA are hiring for Data Science jobs?

Cities near Madera, CA with the most Data Science job openings:

Data Science jobs near you
Infographic showing various Data Science job openings in Madera, CA as of August 2026, with employment types broken down into 1% As Needed, 83% Full Time, 14% Part Time, and 2% Contract. Highlights an 84% Physical, 4% Hybrid, and 12% Remote job distribution, with an average salary of $125,629 per year, or $60.4 per hour.

Field Associate - Rental Property Showings

Doorstead

Fresno, CA • On-site

Full-time

Re-posted 13 days ago

Job description

FIELD ASSOCIATE - FRESNO AREA

ABOUT THE ROLE

We're seeking a Field Associate to join our team in the Fresno area. This contracted hourly position is a 1099 position that focuses on conducting property showings for rental properties with occasional opportunities to conduct property evaluations.

Key Responsibilities:

  1. Property Showings:
    • Travel to properties and conduct showings for prospective tenants
    • Prepare units prior to prospect arrival
    • Ensure property accessibility and security
    • Report prospect and property feedback
    • Paid commute time
  2. Property Evaluations (optional):
    • Assess property conditions at management start, move-ins, and move-outs
    • Use Doorstead tooling to document property deficiencies
    • Work independently and efficiently (average evaluation time of 1 hour)
    • Evaluate exterior areas, interior common spaces, and functionality of electric and plumbing systems
    • Take detailed photos and prepare basic reports through our system

IDEAL CANDIDATE

  • Real estate license is required as company policy, but will not be used for any real estate activities
  • Background in real estate showings, property management, home evaluations, or appraisals
  • Excellent verbal and written communication skills
  • Strong attention to detail
  • Team player with a growth mindset
  • Comfortable with frequent local travel
  • Proficient with mobile apps and smartphone photography
  • Professional demeanor with positive attitude

TECHNICAL REQUIREMENTS

  • Reliable transportation
  • Smartphone capable of running our mobile friendly evaluation tool and taking high-quality photos

ABOUT DOORSTEAD

Doorstead is a pioneering full-service property management startup that guarantees rental income to property owners, regardless of vacancies. We combine modern data science for efficient risk modeling with tech-powered operations to deliver consistent, high-quality customer service.

Our mission is to provide exceptional care for each property, ensuring true peace of mind for owners.

WHY JOIN US?

  • Be part of a fast-growing prop-tech startup
  • Flexible, independent work environment
  • Contribute to revolutionary property management solutions

If you're passionate about real estate, tech-savvy, and ready to excel in a dynamic role, we want to hear from you!

LOCATION

This position requires candidates to be based in or around the Fresno area.