2

Entry Level Python Data Science Jobs in Sacramento, CA

Digital Analyst Internships

Sacramento, CA · On-site

$105K - $124K/yr

... Computer Science, Information Systems, or a related field * Familiarity with data analysis ... Basic programming or scripting experience in Python, SQL, or JavaScript * Experience with Sitecore ...

Entomologist (Army Medical / Scientific Officer)Job Overview As an Entomologist, you'll serve in ... Experience Level: Entry Level Requirements * Be a U.S. citizen by the time you commission as an ...

Entomologist (Army Medical / Scientific Officer)Job Overview As an Entomologist, you'll serve in ... Experience Level: Entry Level Requirements * Be a U.S. citizen by the time you commission as an ...

next page

Showing results 1-20

Entry Level Python Data Science information

See Sacramento, CA salary details

$14

$62

$92

How much do entry level python data science jobs pay per hour?

As of Jul 14, 2026, the average hourly pay for entry level python data science in Sacramento, CA is $62.51, according to ZipRecruiter salary data. Most workers in this role earn between $51.54 and $71.01 per hour, depending on experience, location, and employer.

What are some common challenges faced by entry-level Python data scientists when starting out, and how can they be addressed?

Entry-level Python data scientists often encounter challenges such as managing large datasets, understanding the nuances of real-world data (like missing or inconsistent values), and effectively communicating technical findings to non-technical stakeholders. To address these challenges, it's helpful to develop strong data cleaning skills, practice using libraries like pandas and scikit-learn, and focus on improving data visualization and storytelling abilities. Additionally, seeking feedback from more experienced team members and participating in collaborative projects can accelerate learning and help overcome early hurdles.

What is an entry level Python data scientist?

An entry level Python data scientist is a professional who uses Python programming language to analyze, interpret, and visualize data, typically in the early stages of their data science career. They are responsible for collecting, cleaning, and preparing data, performing basic statistical analyses, and building simple machine learning models under supervision. These roles often require proficiency in Python libraries like pandas, NumPy, and scikit-learn, as well as good problem-solving skills. Entry level data scientists may work in industries such as finance, healthcare, marketing, or technology to help organizations make data-driven decisions.

What are the key skills and qualifications needed to thrive as an Entry Level Python Data Scientist, and why are they important?

To thrive as an Entry Level Python Data Scientist, you need a strong understanding of statistics, data analysis, and proficiency in Python programming, typically supported by a relevant degree or coursework. Familiarity with data science libraries (such as pandas, NumPy, and scikit-learn), data visualization tools, and basic SQL is commonly required. Analytical thinking, problem-solving, and effective communication help you interpret data and present findings clearly. These skills ensure you can extract meaningful insights from data, collaborate effectively, and contribute to data-driven decision-making.

What is the difference between Entry Level Python Data Science vs Entry Level Data Analyst?

AspectEntry Level Python Data ScienceEntry Level Data Analyst
Required SkillsPython, SQL, statistics, machine learning basicsExcel, SQL, data visualization, basic statistics
CertificationsPython programming, data science fundamentalsExcel certifications, basic data analysis courses
Work EnvironmentTech companies, startups, data-driven teamsBusiness departments, marketing, finance teams
Common UsageBuilding models, data cleaning, predictive analyticsReporting, data visualization, trend analysis

Entry Level Python Data Science roles focus on programming, machine learning, and predictive modeling, often requiring Python and statistical knowledge. Entry Level Data Analyst positions emphasize data reporting, visualization, and basic analysis using tools like Excel and SQL. Both roles are common in various industries, but Python Data Science roles typically involve more technical and coding skills, while Data Analyst roles focus on interpreting data for business insights.

What are popular job titles related to Entry Level Python Data Science jobs in Sacramento, CA? For Entry Level Python Data Science jobs in Sacramento, CA, the most frequently searched job titles are:
What job categories do people searching Entry Level Python Data Science jobs in Sacramento, CA look for? The top searched job categories for Entry Level Python Data Science jobs in Sacramento, CA are:
What cities near Sacramento, CA are hiring for Entry Level Python Data Science jobs? Cities near Sacramento, CA with the most Entry Level Python Data Science job openings:
Infographic showing various Entry Level Python Data Science job openings in Sacramento, CA as of July 2026, with employment types broken down into 1% As Needed, 74% Full Time, 16% Part Time, and 9% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $130,019 per year, or $62.5 per hour.
Digital Analyst Internships

Digital Analyst Internships

Danaher

Sacramento, CA • On-site

$105K - $124K/yr

Other

Re-posted 23 days ago


Danaher rating

7.7

Company rating: 7.7 out of 10

Based on 29 frontline employees who took The Breakroom Quiz


Job description

How It Works

This is not an active job listing. By submitting your interest, you’ll be among the first to know when internship opportunities open at Danaher. While the roles described here reflect the types of positions we typically recruit for, specific openings have not yet been finalized. If your background aligns with future opportunities, we’ll reach out directly when formal applications become available.

About Digital Analyst Roles at Danaher

Are you passionate about data, customer experience, and driving meaningful improvements through insights? As a Digital Analyst Intern, you’ll work alongside a talented team focused on enhancing the digital experience for customers worldwide by analyzing data and documenting system workflows that power our web platforms.

What You Might Work On
  • Documenting system integrations and workflows within digital platforms

  • Analyzing data from tools like Google Analytics, PowerBI, Excel, and Looker Studio to extract actionable insights

  • Supporting usability testing and interpreting user behavior data to recommend experience improvements

  • Preparing detailed reports and presentations to communicate findings to the Digital Customer Experience Team

  • Collaborating closely with cross-functional teams to help build a world-class digital organization

Who This Is For
  • Students currently pursuing a bachelor’s degree in Computer Science, Information Systems, or a related field

  • Familiarity with data analysis platforms and tools, comfortable extracting and interpreting complex data sets

  • Experience or coursework in documenting system integrations and workflows

  • Strong analytical mindset and attention to detail

Bonus:
  • Knowledge of usability testing methods and tools

  • Basic programming or scripting experience in Python, SQL, or JavaScript

  • Experience with Sitecore or other Content Management Systems

Company Description

At Beckman Coulter Diagnostics, part of the Danaher family, we’ve been advancing laboratory science for over 80 years, dedicated to improving patient lives worldwide through innovation. Our culture celebrates diverse backgrounds and perspectives, and we invest in your career growth through mentorship and meaningful hands-on experiences. Join us and help reimagine healthcare, one diagnosis at a time.


What Danaher employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom


Danaher logo

About Danaher

Sourced by ZipRecruiter

We are a science and technology innovator committed to helping our customers solve complex challenges, and improving quality of life around the world. A global family of more than 20 operating companies, we drive meaningful innovation in some of today's most dynamic, growing industries.

Industry

Medical equipment and supplies manufacturing

Company size

10,000+ Employees

Headquarters location

Washington, DC, US

Year founded

1984