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Non Exempt Implementation Science Jobs in Belleville, IL

Design, develop, and implement data science, machine learning, and AI solutions to address complex ... Communicate analytical findings and recommendations clearly to both technical and non-technical ...

New

Design, develop, and implement data science, machine learning, and AI solutions to address complex ... Communicate analytical findings and recommendations clearly to both technical and non-technical ...

New

Design, develop, and implement data science, machine learning, and AI solutions to address complex ... Communicate analytical findings and recommendations clearly to both technical and non-technical ...

New

... non-technical audiences * Partner with cross-functional teams to implement and operationalize ... Engineering, Social Science, or Statistics) * Must have two (2+) years of experience with ...

Design, develop, and implement data science, machine learning, and AI solutions to address complex ... Communicate analytical findings and recommendations clearly to both technical and non-technical ...

New

Design, develop, and implement data science, machine learning, and AI solutions to address complex ... Communicate analytical findings and recommendations clearly to both technical and non-technical ...

New

Design, develop, and implement data science, machine learning, and AI solutions to address complex ... Communicate analytical findings and recommendations clearly to both technical and non-technical ...

New

Design, develop, and implement data science, machine learning, and AI solutions to address complex ... Communicate analytical findings and recommendations clearly to both technical and non-technical ...

New

Design, develop, and implement data science, machine learning, and AI solutions to address complex ... Communicate analytical findings and recommendations clearly to both technical and non-technical ...

New

Design, develop, and implement data science, machine learning, and AI solutions to address complex ... Communicate analytical findings and recommendations clearly to both technical and non-technical ...

New

Design, develop, and implement data science, machine learning, and AI solutions to address complex ... Communicate analytical findings and recommendations clearly to both technical and non-technical ...

New

Design, develop, and implement data science, machine learning, and AI solutions to address complex ... Communicate analytical findings and recommendations clearly to both technical and non-technical ...

New

Design, develop, and implement data science, machine learning, and AI solutions to address complex ... Communicate analytical findings and recommendations clearly to both technical and non-technical ...

New

Design, develop, and implement data science, machine learning, and AI solutions to address complex ... Communicate analytical findings and recommendations clearly to both technical and non-technical ...

New

... non-technical audiences * Partner with cross-functional teams to implement and operationalize ... Engineering, Social Science, or Statistics) * Must have two (2+) years of experience with ...

Design, develop, and implement data science, machine learning, and AI solutions to address complex ... Communicate analytical findings and recommendations clearly to both technical and non-technical ...

New

Design, develop, and implement data science, machine learning, and AI solutions to address complex ... Communicate analytical findings and recommendations clearly to both technical and non-technical ...

New

Design, develop, and implement data science, machine learning, and AI solutions to address complex ... Communicate analytical findings and recommendations clearly to both technical and non-technical ...

New

Design, develop, and implement data science, machine learning, and AI solutions to address complex ... Communicate analytical findings and recommendations clearly to both technical and non-technical ...

New

Design, develop, and implement data science, machine learning, and AI solutions to address complex ... Communicate analytical findings and recommendations clearly to both technical and non-technical ...

New

Showing results 41-60

Non Exempt Implementation Science information

See Belleville, IL salary details

$13

$33

$70

How much do non exempt implementation science jobs pay per hour?

As of Aug 22, 2026, the average hourly pay for non exempt implementation science in Belleville, IL is $33.11, according to ZipRecruiter salary data. Most workers in this role earn between $24.52 and $33.85 per hour, depending on experience, location, and employer.

What is the difference between Non Exempt Implementation Science vs Non Exempt Research Coordinator?

AspectNon Exempt Implementation ScienceNon Exempt Research Coordinator
CredentialsBachelor's degree; some roles may require certifications in implementation science or related fieldsBachelor's degree; often requires experience in research coordination
Work EnvironmentHealthcare, public health, or community settings focusing on applying research to practiceResearch institutions, hospitals, or clinics managing clinical trials
Employer & Industry UsageUsed in public health, healthcare systems, and community programsCommon in academic, clinical, and research organizations
Job FocusImplementing evidence-based practices and programsManaging research protocols and data collection

Non Exempt Implementation Science professionals focus on applying research findings to real-world settings, while Non Exempt Research Coordinators manage research projects and data. Both roles require similar educational backgrounds but differ in daily tasks and industry focus.

How to get into non exempt implementation science?

To enter non-exempt implementation science roles, candidates typically need a background in public health, healthcare, or social sciences, along with experience in research methods and data analysis. Gaining relevant skills through a master's degree or certifications in implementation science or related fields can improve job prospects, and familiarity with tools like SPSS or NVivo is often beneficial.

What are popular job titles related to Non Exempt Implementation Science jobs in Belleville, IL?

For Non Exempt Implementation Science jobs in Belleville, IL, the most frequently searched job titles are:

What job categories do people searching Non Exempt Implementation Science jobs in Belleville, IL look for?

The top searched job categories for Non Exempt Implementation Science jobs in Belleville, IL are:

What cities near Belleville, IL are hiring for Non Exempt Implementation Science jobs?

Cities near Belleville, IL with the most Non Exempt Implementation Science job openings:

Data Scientist

PB consulting

Maryville, IL • On-site

Full-time

This job post has expired 2 days ago. Applications are no longer accepted.


Job description

We are seeking a Data Scientist with strong experience in advanced analytics, statistical modeling, machine learning, and artificial intelligence. The ideal candidate will be responsible for analyzing complex structured and unstructured data, developing actionable insights, building data science solutions, and partnering with data and business teams to solve complex problems and deliver measurable business value.

Primary Responsibilities
  • Analyze large and complex structured and unstructured datasets from multiple internal and external sources to identify trends, patterns, correlations, and actionable insights.

  • Design, develop, and implement data science, machine learning, and AI solutions to address complex business problems.

  • Apply advanced statistical, mathematical, and analytical techniques to model data and support data-driven decision-making.

  • Perform exploratory data analysis (EDA) and develop high-quality datasets for statistical analysis and machine learning.

  • Integrate data from multiple sources and develop processes to consolidate, transform, and prepare data for analysis.

  • Design and define data structures and storage approaches for unstructured and diverse datasets, including how data is consumed, integrated, and managed.

  • Develop analytical models and algorithms to understand relationships and correlations across disparate datasets.

  • Identify data quality issues and provide guidance on data transformation, cleansing, and preparation for analytical use.

  • Generate reports, dashboards, datasets, and other analytical resources to communicate insights to business and technical stakeholders.

  • Translate complex business requirements and technical designs into data science and AI solutions aligned with organizational goals.

  • Collaborate closely with Data Analysts, Data Engineers, Business Stakeholders, and other technical teams to understand requirements and deliver effective solutions.

  • Review data pipelines and provide recommendations for data quality, performance, scalability, and optimization.

  • Develop reusable analytical processes, reporting solutions, and data products to support ongoing business needs.

  • Communicate analytical findings and recommendations clearly to both technical and non-technical stakeholders.

  • Provide guidance and coaching on data preparation, analytical techniques, and best practices when needed.

Required Qualifications & Experience
  • 5+ years of experience in Data Science, Advanced Analytics, Machine Learning, or a related field.

  • Strong experience working with large, complex, structured, and unstructured datasets.

  • Strong knowledge of statistics, mathematics, data analysis, and predictive modeling.

  • Hands-on experience with machine learning and AI techniques.

  • Strong proficiency in SQL and experience working with databases or data warehouses.

  • Experience with Python, R, or similar programming languages for data analysis and modeling.

  • Experience performing exploratory data analysis, data preparation, transformation, and cleansing.

  • Experience integrating and analyzing data from multiple sources.

  • Strong understanding of data pipelines, data structures, and data engineering concepts.

  • Experience developing analytical models and translating business requirements into technical data science solutions.

  • Strong problem-solving and analytical skills, with the ability to investigate complex data relationships and identify meaningful insights.

  • Excellent communication skills with the ability to present complex analytical findings to both technical and non-technical audiences.

  • Experience collaborating with cross-functional teams, including Data Engineering, Data Analytics, Product, and Business teams.