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Hourly Python Data Science Jobs in Missouri (NOW HIRING)

$88.40K - $106.10K/yr

We are currently looking for a Data science Pyspark and IA Generativa in Netherlands. Join a ... Build and optimize large-scale data processing pipelines using Python, PySpark, Spark, and ...

You will drive data science partnership across US, Costa Rica, and India locations. You will be ... Java, C++, Python, Spark, Scala, or R * Strong proficiency in SQL for data manipulation and ...

You will drive data science partnership across US, Costa Rica, and India locations. You will be ... Java, C++, Python, Spark, Scala, or R * Strong proficiency in SQL for data manipulation and ...

Basic Qualifications (Required Skills/Experience) * 10+ yearsof Data Science experience * 10+ years ... with Python and SQL. * 5+ years of experience withmachine learning/statistical modeling(e.g ...

You will drive data science partnership across US, Costa Rica, and India locations. You will be ... Java, C++, Python, Spark, Scala, or R * Strong proficiency in SQL for data manipulation and ...

Bachelor's degree or higherfrom an accredited course of study in data science, computer science ... Python and SQL. * 10+ years of experience withmachine learning/statistical modeling(e.g ...

Bachelor's degree or higherfrom an accredited course of study in data science, computer science ... Python and SQL. * 10+ years of experience withmachine learning/statistical modeling(e.g ...

Basic Qualifications (Required Skills/Experience) * 10+ yearsof Data Science experience * 10+ years ... with Python and SQL. * 5+ years of experience withmachine learning/statistical modeling(e.g ...

Basic Qualifications (Required Skills/Experience) * 10+ yearsof Data Science experience * 10+ years ... with Python and SQL. * 5+ years of experience withmachine learning/statistical modeling(e.g ...

Bachelor's degree or higher from an accredited course of study in data science, computer science ... Python and SQL. * 10+ years of experience with machine learning/statistical modeling (e.g ...

Basic Qualifications (Required Skills/Experience) * 10+ yearsof Data Science experience * 10+ years ... with Python and SQL. * 5+ years of experience withmachine learning/statistical modeling(e.g ...

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Hourly Python Data Science information

What are the key skills and qualifications needed to thrive as an Hourly Python Data Science professional, and why are they important?

To thrive as an Hourly Python Data Science professional, you need a solid understanding of statistics, data analysis, and programming in Python, often supported by a degree in a quantitative field or equivalent experience. Familiarity with tools like Pandas, NumPy, scikit-learn, and data visualization libraries, as well as experience with version control systems like Git, is typically required. Strong problem-solving abilities, effective communication, and adaptability help you deliver insights and solutions to clients efficiently. These skills ensure accurate analysis, clear reporting, and the ability to meet diverse project needs in a flexible, project-based environment.

What are some common challenges faced by hourly Python Data Science professionals, and how can they be addressed?

Hourly Python Data Science professionals often encounter challenges such as managing multiple clients with varying expectations, adapting quickly to different data environments, and handling inconsistent workloads. To address these, it's important to establish clear communication with clients about project scope and deadlines, maintain well-organized code and documentation for easy context switching, and utilize tools like version control and virtual environments. Building a strong personal workflow and prioritizing time management can help ensure high-quality deliverables across diverse projects.

What are Hourly Python Data Science jobs?

Hourly Python Data Science jobs are roles where professionals use Python programming to analyze, interpret, and visualize data, and are paid based on the number of hours they work. These positions often involve tasks such as data cleaning, statistical analysis, machine learning, and data visualization. Hourly data science jobs offer flexibility for both employers and workers, making them popular for freelance, contract, or part-time arrangements. Python's robust libraries and tools make it a preferred language for these roles.

What is the difference between Hourly Python Data Science vs Data Analyst?

AspectHourly Python Data ScienceData Analyst
Required SkillsPython, statistical analysis, machine learningExcel, SQL, data visualization
Work EnvironmentTech companies, startups, research labsBusiness, marketing, finance sectors
Common CertificationsPython certifications, data science coursesExcel, Tableau, SQL certifications

Hourly Python Data Science roles focus on advanced analytics, machine learning, and programming with Python, often in tech-driven environments. Data Analysts typically handle data cleaning, visualization, and reporting using tools like Excel and SQL. While both roles require data handling skills, Python Data Science positions demand programming expertise and statistical knowledge, making them more technical and specialized.

What are the most commonly searched types of Python Data Science jobs in Missouri? The most popular types of Python Data Science jobs in Missouri are:
What are popular job titles related to Hourly Python Data Science jobs in Missouri? For Hourly Python Data Science jobs in Missouri, the most frequently searched job titles are:
What cities in Missouri are hiring for Hourly Python Data Science jobs? Cities in Missouri with the most Hourly Python Data Science job openings:
Infographic showing various Hourly Python Data Science job openings in Missouri as of May 2026, with employment types broken down into 2% As Needed, 85% Full Time, 9% Part Time, and 4% Contract. Highlights an 54% Physical, 23% Hybrid, and 23% Remote job distribution.
Part-time Faculty - Health Data Science & AI

Part-time Faculty - Health Data Science & AI

Saint Louis University

Saint Louis, MO • On-site

$57.40K - $57.80K/yr

Part-time

Posted 21 days ago


Saint Louis University rating

8.7

Company rating: 8.7 out of 10

Based on 11 frontline employees who took The Breakroom Quiz

38th of 529 rated colleges and universities


Job description

Who is Saint Louis University? Founded in 1818, Saint Louis University is one of the nation's oldest and most prestigious Catholic universities. SLU, which also has a campus in Madrid, Spain, is recognized for world-class academics, life-changing research, compassionate health care, and a strong commitment to faith and service.
Adjunct Assistant/Associate Professor - Health Data Science and Artificial Intelligence Applications in Medicine
Department of Health and Clinical Outcomes Research
Saint Louis University School of Medicine
Position Summary
The Department of Health and Clinical Outcomes Research at Saint Louis University School of Medicine invites applications for Adjunct Assistant or Associate Professor positions to teach graduate-level courses and mentor students in applied health data science and artificial intelligence in medicine.
Primary Responsibilities
Adjunct faculty will teach one or more of the following courses or related electives within the Department's data science and AI curriculum:
  • Privacy, Ethics, Regulation & Policy
  • Introduction to Artificial Intelligence
  • Predictive Modeling and Machine Learning
  • Image Processing and Deep Learning
  • Bioinformatics & Biomedical / Clinical Data Analysis Natural Language Processing and Large Language Models
  • Reinforcement Learning for Clinical Decision Making
  • Telehealth & Telemedicine
  • AI for Precision Medicine & Genomics & Diagnostics
  • Research in Medicine

Additional responsibilities include:
  • Develop and deliver engaging, practice-based course materials.
  • Mentoring students on applied research and analytics projects using real-world datasets.
  • Collaborating with program leadership to ensure content quality, alignment with learning objectives, and current best practices in AI and health data analytics.
  • Participating in departmental meetings or student events, as appropriate for adjunct appointments.

Qualifications
Required:
  • Ph.D. or equivalent terminal degree in Health Data Science, Biomedical Informatics, Computer Science, Biostatistics, or a related field.
  • Demonstrated expertise in one or more areas of artificial intelligence, data science, or computational health analytics.
  • Proficiency with relevant tools and languages (e.g., Python, R, SQL, TensorFlow, PyTorch, SAS).
  • Strong communication skills and a commitment to high-quality, student-centered graduate teaching.

Preferred:
  • Experience teaching graduate courses in AI, data science, or health informatics.
  • Applied or research experience involving AI deployment in healthcare, biomedical, or clinical contexts.
  • Familiarity with regulatory, ethical, and equity considerations in digital health and AI.
  • Record of scholarly or professional contributions in data-driven healthcare innovation.

Appointment Details
  • Type: Adjunct, non-tenure track
  • Rank: Assistant or Associate Professor (commensurate with qualifications)
  • Location: Saint Louis University School of Medicine (in-person, hybrid, or online options available)
  • Start Date: Ongoing recruitment for upcoming academic terms

Application Instructions
Interested applicants should submit:
  • A cover letter outlining teaching interests and relevant experience
  • Curriculum vitae (CV)
  • Contact information for three professional references

Applications will be reviewed on a rolling basis until positions are filled.
Function
Faculty - Adjunct
Scheduled Weekly Hours:
20
Saint Louis University is an equal opportunity/affirmative action employer. All qualified candidates will receive consideration for the position applied for without regard to race, color, religion, sex, age, national origin, disability, marital status, sexual orientation, military/veteran status, gender identity, or other non-merit factors. If accommodations are needed for completing the application and/or with the interviewing process, please contact Human Resources at 314-977-5847.

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