1

Data Science Jobs in Columbia, MS (NOW HIRING)

Supporting immunoassay development teams with experimental setup, data collection, and documentation * Conducting laboratory studies to evaluate assay performance under guidance from scientific staff

... life sciences solutions from ideation to market. This role would offer hands-on experience in ... Strong analytical and problem-solving skills with the ability to interpret complex data

Showing results 21-40

Data Science information

See Columbia, MS salary details

$33.5K

$109.7K

$175.6K

How much do data science jobs pay per year?

As of Aug 10, 2026, the average yearly pay for data science in Columbia, MS is $109,654.00, according to ZipRecruiter salary data. Most workers in this role earn between $88,000.00 and $121,500.00 per year, depending on experience, location, and employer.

Is a data scientist in high demand?

Yes, 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 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 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 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.

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 cities near Columbia, MS are hiring for Data Science jobs? Cities near Columbia, MS with the most Data Science job openings:
Infographic showing various Data Science job openings in Columbia, MS as of August 2026, with employment types broken down into 81% Full Time, and 19% Part Time. Highlights an 86% In-person, and 14% Remote job distribution, with an average salary of $109,654 per year, or $52.7 per hour.

R&D Internships

Danaher

Hattiesburg, MS • On-site

Other

Re-posted 20 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 R&D Roles at Danaher

Are you driven by curiosity, discovery, and a desire to contribute to meaningful scientific innovation? As an R&D Intern at Danaher, you’ll gain hands-on experience supporting the development of cutting-edge immunoassays for fully automated diagnostic systems that impact patient care around the world. You’ll work in a collaborative environment alongside experienced scientists and contribute to real product development.

What You Might Work On
  • Participating in general laboratory operations including reagent preparation, material inventory, and equipment maintenance

  • Supporting immunoassay development teams with experimental setup, data collection, and documentation

  • Conducting laboratory studies to evaluate assay performance under guidance from scientific staff

  • Applying scientific methods and good laboratory practices in day-to-day tasks

  • Documenting work in accordance with research protocols and regulatory requirements

Who This Is For
  • Students currently pursuing a bachelor's degree in Chemistry, Biochemistry, Biological Sciences, or related field

  • 0–2+ years of laboratory experience (course-based experience accepted)

  • Basic understanding of scientific methods and good laboratory practices

  • Strong teamwork and communication skills, with the ability to work independently and collaboratively

Bonus:
  • Proficiency with Microsoft Office tools (Word, Excel, PowerPoint)

  • Familiarity with statistical methods and design of experiments (DOE)

Company Description

At Beckman Coulter Diagnostics, part of the Danaher family, we’re reimagining healthcare one diagnosis at a time. For over 80 years, we’ve been advancing and optimizing laboratories to move science and healthcare forward. Our global team is committed to improving patient lives through innovative diagnostics and building a culture where all associates can thrive. Join us to grow your skills and be part of a mission that matters.


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