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Data Science Jobs in Springfield, MO (NOW HIRING)

Data Engineer

Springfield, MO · On-site

$104K - $125K/yr

About Us We are AI researchers and builders who understand how to curate data and RL environments that truly improve models. We curated OpenThoughts, one of the best open reasoning datasets, and have ...

Associate Scientist

Springfield, MO · On-site

$55K - $70K/yr

Ability to review the analytical data from the sampling results and notify the project or program ... Undergraduate degree in Science, Engineering, or related discipline. Plus: * Must be able to attain ...

Bachelor's degree in Computer Science, Engineering, Data Science, or related field; or equivalent combination of education and commensurate experience required. * 5+ years of relevant experience in ...

Bachelor's degree in Computer Science, Engineering, Data Science, or related field; or equivalent combination of education and commensurate experience required. * 5+ years of relevant experience in ...

Utilize sensory science tools, available in the Innovation Center, to give data points to the customer demonstrating expectations are met/exceeded * Perform pilot plant testing to ensure a successful ...

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Showing results 1-20

Data Science information

See Springfield, MO salary details

$34.1K

$111.6K

$178.7K

How much do data science jobs pay per year?

As of Jun 23, 2026, the average yearly pay for data science in Springfield, MO is $111,646.00, according to ZipRecruiter salary data. Most workers in this role earn between $89,600.00 and $123,700.00 per year, depending on experience, location, and employer.

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.

Is 40 too late for data science?

Data science is a field open to individuals of all ages, and many professionals transition into it later in their careers. Success often depends on acquiring relevant skills such as programming, statistics, and machine learning, which can be learned through online courses, bootcamps, or degrees regardless of age.

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.

Is AI replacing data scientists?

AI is transforming the role of data scientists by automating routine tasks such as data cleaning and basic analysis, but it does not replace the need for skilled professionals to interpret complex data, develop models, and make strategic decisions. Data scientists with expertise in programming, statistical analysis, and machine learning remain essential for designing and deploying AI solutions effectively.

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 jobs are there in data science?

Data science offers a variety of roles including Data Scientist, Data Analyst, Machine Learning Engineer, Data Engineer, and Business Intelligence Analyst. These positions typically require skills in programming, statistics, and data visualization tools, and may involve working with large datasets, predictive modeling, and data-driven decision making.

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 jobs does a data scientist do?

A data scientist analyzes large datasets to extract insights, build predictive models, and support decision-making. They use programming languages like Python or R, employ statistical techniques, and often work with machine learning algorithms to solve complex problems across various industries.
What are the most commonly searched types of Data Science jobs in Springfield, MO? The most popular types of Data Science jobs in Springfield, MO are:
What are popular job titles related to Data Science jobs in Springfield, MO? For Data Science jobs in Springfield, MO, the most frequently searched job titles are:
What cities near Springfield, MO are hiring for Data Science jobs? Cities near Springfield, MO with the most Data Science job openings:
Infographic showing various Data Science job openings in Springfield, MO as of June 2026, with employment types broken down into 1% As Needed, 86% Full Time, 12% Part Time, and 1% Contract. Highlights an 88% Physical, 3% Hybrid, and 9% Remote job distribution, with an average salary of $111,646 per year, or $53.7 per hour.

Pharmaceutical Sales Representative

Inizio Engage

Springfield, MO

Full-time

Medical, Dental, Vision, Life, Retirement

Posted 16 days ago


Job description

Inizio Engage is proud to partner with Tonix Pharmaceuticals and are seeking a team of Pharmaceutical Field Sales Representatives who are performance-driven, proven, and ambitious sales professionals who thrive in a competitive environment.

If you bring passion, integrity, and a track record of success, this is your opportunity to represent a company at the forefront of science and innovation during a product launch phase.

This is a highly innovative role requiring you to drive territory performance and continually challenge yourself to go the extra mile to deliver value that makes a real difference in the lives of patients and healthcare professionals.

What’s in it for you?

  • Competitive compensation
  • Excellent Benefits – accrued time off, medical, dental, vision, 401k, disability & life insurance, paid maternity and paternity leave benefits, employee discounts/promotions
  • Employee discounts & exclusive promotions
  • Recognition programs, contests, and company-wide awards
  • Exceptional, collaborative culture
  • Best Places to Work in BioPharma (2022, 2023, & 2025)
  • Certified Great Place to Work (2022, 2023, 2025)

What will you be doing?

  • Drive the successful launch of a new pharmaceutical product by executing strategic sales initiatives.
  • Implement strategic business plans to meet and exceed all KPIs and goals for the assigned territory.
  • Build and maintain relationships with healthcare professionals (HCPs) to educate them on product benefits, efficacy, and appropriate usage.
  • Develop and implement territory business plans to maximize product adoption and market penetration.
  • Conduct sales presentations, deliver compelling product messaging, and address customer inquiries effectively.
  • Stay informed on market trends, competitor activities, and industry developments to adapt sales strategies accordingly.
  • Utilize data-driven insights to identify opportunities, track sales performance, and optimize territory management.
  • Adhere to regulatory and compliance guidelines while maintaining ethical and professional sales practices.
  • Participate in training programs, sales meetings, and launch events to stay updated on product knowledge and industry best practices.

What do you need for this position?

  • Bachelor’s degree in business, science, or related field or equivalent work experience
  • 2+ years primary care pharmaceutical sales experience required
  • Rheumatology experience preferred
  • Launch Sales Experience preferred
  • Strong interpersonal and relationship building skills
  • Proven record of driving results in a high-growth company environment
  • Strategic thinker who can develop and drive a territory business plan
  • Some overnight travel will be required
  • Valid driver’s license in good standing

About Inizio Engage 

 
Inizio Engage is a strategic, commercial, and creative engagement partner that specializes in healthcare. Our passionate, global workforce augments local expertise and diverse mix of skills with 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 mission is to partner with our clients, improving lives by helping healthcare professionals and patients get the medicines, knowledge and support they need.  

To learn more about Inizio Engage, visit us at:  https://inizio.health/ 

Inizio Engage is proud to be an equal opportunity employer. Individuals seeking employment at Inizio are considered without regards to age, ancestry, color, gender, gender identity or expression, genetic information, marital status, medical condition (including pregnancy, childbirth, or related medical conditions), mental or physical disability, national origin, protected family care or medical leave status, race, religion (including beliefs and practices or the absence thereof), sexual orientation, military or veteran status, or any other characteristic protected by federal, state, or local laws.  Further, pursuant to applicable local ordinances, Inizio will consider employment qualified applicants with arrest and conviction records. 

Inizio Engage is an equal opportunity employer M/F/V/D. We appreciate your interest in our company; however, only qualified candidates will be considered.Â