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Associate Data Scientist Jobs in Springfield, MO

A bachelor's degree in science, production management, business management, and/or engineering ... Ability to associate cause and affect relationships and determine patterns of activity in ...

A bachelor's degree in science, production management, business management, and/or engineering ... Ability to associate cause and affect relationships and determine patterns of activity in ...

Senior Network Engineer

Springfield, MO · On-site

$88K - $121K/yr

... proper data retention, access controls, and policy compliance. · Implement and test disaster ... Azure Administrator Associate or higher (preferred) · CompTIA Security+, CISSP, or equivalent ...

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Associate Data Scientist information

See Springfield, MO salary details

$52.3K

$61.9K

$117.3K

How much do associate data scientist jobs pay per year?

As of Jun 16, 2026, the average yearly pay for associate data scientist in Springfield, MO is $61,890.00, according to ZipRecruiter salary data. Most workers in this role earn between $53,700.00 and $54,100.00 per year, depending on experience, location, and employer.

What is the 80 20 rule in data science?

In data science, the 80/20 rule, also known as the Pareto principle, suggests that roughly 80% of the results come from 20% of the efforts or features. Data scientists often use this concept to focus on the most impactful variables or tasks to optimize model performance and efficiency.

What is the difference between Associate Data Scientist vs Data Analyst?

AspectAssociate Data ScientistData Analyst
Required CredentialsBachelor's degree in Data Science, Statistics, or related field; some roles prefer certifications in data analysis or programmingBachelor's degree in Statistics, Mathematics, or related field; certifications like Microsoft Excel or Tableau are common
Work EnvironmentCollaborates with data science teams, develops models, and analyzes complex datasetsPrepares reports, visualizes data, and provides insights for decision-making
Employer & Industry UsageUsed in tech, finance, healthcare, and consulting firms focusing on predictive modelingCommon across various industries for business reporting and operational analysis

The Associate Data Scientist typically focuses on building models and advanced analytics, requiring programming skills and statistical knowledge. Data Analysts mainly interpret data through reports and visualizations, often with less emphasis on coding. Both roles are essential in data-driven organizations but differ in technical depth and responsibilities.

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

To thrive as an Associate Data Scientist, you need strong analytical skills, a solid foundation in statistics, and proficiency in programming languages like Python or R, typically supported by a degree in a quantitative field. Experience with data visualization tools (e.g., Tableau), machine learning libraries (e.g., scikit-learn), and database systems (e.g., SQL) is often required. Critical thinking, problem-solving, and effective communication are vital soft skills for translating data insights into actionable business solutions. These skills and qualities are essential for extracting valuable insights from complex data and driving data-informed decision-making within organizations.

What is the role of an associate data scientist?

An associate data scientist analyzes data to identify patterns and insights that support business decisions. They typically work with tools like Python, R, or SQL and assist in developing models, reports, and visualizations under the guidance of senior data scientists. The role often requires strong analytical skills, knowledge of statistics, and familiarity with data management.

What does an Associate Data Scientist do?

An Associate Data Scientist supports data-driven decision-making by collecting, cleaning, and analyzing large datasets. They use statistical methods and programming languages like Python or R to identify trends, build predictive models, and generate insights for business problems. Working under the guidance of more experienced data scientists, they also help visualize data and communicate findings to technical and non-technical stakeholders. This entry-level role often involves learning new tools and techniques while contributing to real-world projects.

What are some typical projects an Associate Data Scientist might work on, and how do they collaborate with other team members?

As an Associate Data Scientist, you can expect to contribute to a range of projects such as developing predictive models, analyzing large datasets to uncover business insights, and supporting the deployment of machine learning solutions. Collaboration is key; you'll often work closely with data engineers to prepare and process data, as well as with business analysts and product managers to align your findings with organizational goals. Regular meetings, code reviews, and knowledge-sharing sessions are common, providing opportunities to learn from senior data scientists and broaden your technical skills.

What can I do with an associate's degree in data science?

An associate's degree in data science prepares individuals for entry-level roles such as data technician, data analyst, or junior data scientist. These positions involve working with data collection, cleaning, and basic analysis using tools like Excel, SQL, or Python. Further certifications or experience can help advance to more specialized or higher-level roles.

What Does an Associate Data Scientist Do?

The duties of an associate data scientist are to analyze statistical data analysis on large sets and identify trends by using advanced mathematical and computer science skills. Their responsibilities often include assisting in the production of statistical models, tools, and processes. They typically are in the process of pursuing a master’s degree and report to a senior data scientist. The qualifications you need are a bachelor’s degree in statistics, computer science, or a related field as well as experience working with machine-learning and data mining algorithms.

Is 40 too late for data science?

Associate Data Scientists and other data science roles do not have strict age limits, and many professionals transition into the field later in life. Success depends on acquiring relevant skills such as programming, statistics, and machine learning, which can be developed through online courses and certifications regardless of age.
What are the most commonly searched types of Data Scientist jobs in Springfield, MO? The most popular types of Data Scientist jobs in Springfield, MO are:
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What cities near Springfield, MO are hiring for Associate Data Scientist jobs? Cities near Springfield, MO with the most Associate Data Scientist job openings:

Production Supervisor

EnerSys

Springfield, MO • On-site

Other

Posted 11 days ago


EnerSys rating

7.6

Company rating: 7.6 out of 10

Based on 52 frontline employees who took The Breakroom Quiz

219th of 518 rated manufacturers


Job description

EnerSys is a global leader in stored energy solutions for industrial applications. We have over thirty manufacturing and assembly plants worldwide servicing over 10,000 customers in more than 100 countries. Worldwide headquarters are located in Reading, PA, USA with regional headquarters in Europe and Asia. We complement our extensive line of Motive Power and Energy Systems with a full range of integrated services and systems. With sales and service locations throughout the world, and over 100 years of battery experience, EnerSys is the power/full solution for stored DC power products.

Motive Power applications include industrial lift trucks and pallet jacks, rail equipment, mining equipment, and airline ground support equipment. Some of the motive power brands include Hawker, Ironclad, General Battery, and Fiamm. Wherever there is a need for motive power, EnerSys offers the perfect energy solution.

Job Purpose

Working as a critical leader within a production team, support the achievement of set production targets and customer expectations by providing the appropriate level of leadership, supervision, and training/development to the people assigned within your shift and/or department, as well as the expected level of oversight to the equipment, systems, resources, and facilities under your control. Ensure those under your supervision are following standard operating procedures with continual focus to their personal safety and the safety of their co-workers, and the quality of product produced being the guiding principles of the teams' behaviors and actions.

Essential Duties and Responsibilities

To perform this job successfully, an individual must be able to perform each essential duty satisfactorily. The requirements listed below are representative of the knowledge, skill, and/or ability required. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions.

This is a 1st shift role onsite in Springfield, MO.

  1. Provide the appropriate level of leadership, supervision, and training/development to the people assigned within your shift and/or department.
  2. Provide the expected level of oversight to the equipment, systems, resources, and facilities under your control. 
  3. Understand, and effectively communicate expected department targets, to include, but not limited to production, safety, quality, cost control and operational excellence levels (KPIs).  Monitoring as appropriate and providing instruction and counsel to employee(s) when expectations are not being met and provide recognition when set expectations are exceeded.
  4. Establishing work schedules and managing to planned and unplanned employee levels, providing hands-on coverage as needed, providing for, and making request of appropriate levels of support, supply and materials, and utilizing the manufacturing resource planning (MRP) systems to timely communicate production data.
  5. Be an active liaison to other departments/shifts to ensure proper transfer of information to production status and other key performance areas.  Establishing effective relationships and channels of communications to immediate and next level of production management, maintenance, supply chain management, EH&S, and HR.
  6. Ensure compliance, for yourself and all whom you may come into contact, in all safety, environment and health processes and procedures.  To include but not limited to wearing required personal protective equipment (PPE), maintaining, and safely storing PPE, and submitting to periodic personal testing and monitoring.
Qualifications

1. High School Diploma or GED equivalent, plus 2-year technical/associates degree or certification accompanied with no less than 1 year of work experience in a lead, project manager, or supervisory role. Or equivalent combination of education and experience. A bachelor's degree in science, production management, business management, and/or engineering, with relevant work experience within a fast-paced heavy materials, system-controlled machine and process driven work environment is preferred.

2. A high level of self-motivation, the ability to coach others, and the agility and influence to effectively maintain the needed level of motivation within the team to achieve, if not exceed, performance expectations.

3. Ability to associate cause and affect relationships and determine patterns of activity in anticipation of change within operations, processes, systems, and personnel on a continual and consistent basis.

4. Displayed ability to do basic math - addition, subtraction, multiplication, division, and calculating percentages - with a high degree of accuracy.

5. Fluent verbal and written skills in English. Strong communication skills, with ability to efficiently present a situation and effectively advocate for a position to any level of the organization.

6. Displayed ability to read and write for understanding, interpret instructions and standard operating procedures, work within software programs (such as but not limited to Excel, Word, Outlook, and PowerPoint) and business specific resource planning and reporting systems.

7. Ability to be qualified for safe and compliant use and maintenance of assigned and required Personal Protective Equipment (PPE). To include a fit-tested respirator, steel-toed shoes, safety eye wear and hearing protection.

General Job Requirements
  • Generic

EnerSys provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws.  

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We use artificial intelligence to screen, assess and select applicants for open positions, including for the purposes of reviewing and ranking application materials and scoring answers to application questions. Accordingly, decisions about your application and eligibility for employment with EnerSys may be made based exclusively on the automated processing of the personal information that you submit in your application materials.


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