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Part Time Data Scientist Jobs in Indiana (NOW HIRING)

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Part Time Data Scientist information

See Indiana salary details

$35.7K

$116.8K

$187K

How much do part time data scientist jobs pay per year?

As of Aug 8, 2026, the average yearly pay for part time data scientist in Indiana is $116,793.00, according to ZipRecruiter salary data. Most workers in this role earn between $93,700.00 and $129,400.00 per year, depending on experience, location, and employer.

What does a part-time data scientist do?

A part-time data scientist’s skills and responsibilities are very similar to those of a data analyst. Like a data analyst, you have to collect and review company or industry data and then perform an analysis based on a business question the company wants to answer. You share this information with other parts of the enterprise. Where data scientists’ duties are different is that you use past data to build machine learning models. These machine learning models make predictions, and the goal is to identify trends that lead to a more thorough understanding of the business and its customers.

What is a part time data scientist?

A part time data scientist is a professional who applies statistical analysis, machine learning, and data processing skills to extract insights from data, but works fewer hours than a full-time employee—typically under 35 hours per week. Part time data scientists may work for one or more companies, often on flexible schedules or as contractors. Their responsibilities can include data cleaning, building predictive models, and presenting data-driven insights to help organizations make informed decisions. This role is ideal for those seeking work-life balance, students, or professionals looking to supplement their income.

What are the key skills and qualifications needed to thrive as a part-time data scientist, and why are they important?

To thrive as a Part Time Data Scientist, you need strong analytical skills, proficiency in statistics, and experience with data modeling, typically supported by a degree in a quantitative field. Familiarity with tools like Python, R, SQL, and data visualization platforms, as well as knowledge of machine learning libraries, is often required. Excellent problem-solving, time management, and communication skills help you effectively deliver insights and collaborate despite reduced hours. These skills ensure you can provide high-impact, actionable analyses efficiently within a limited work schedule.

How does working part-time as a data scientist typically impact project involvement and collaboration with full-time team members?

As a part-time data scientist, you may be assigned to specific projects or tasks that fit within your available hours, often focusing on defined deliverables or analytical support roles. Collaboration with full-time colleagues is common, usually through regular meetings, shared documentation, and communication tools to ensure alignment. It's important to clearly communicate your schedule and capacity, as timely updates and hand-offs help maintain project momentum. While you might not be involved in every stage of a project, your specialized contributions are highly valued, and many organizations foster flexible, inclusive environments to integrate part-time professionals effectively.

What is the difference between Part Time Data Scientist vs Data Analyst?

AspectPart Time Data ScientistData Analyst
Required CredentialsBachelor's or Master's in Data Science, Statistics, or related fieldBachelor's degree in Data Analysis, Statistics, or related field
Work EnvironmentFlexible hours, project-based, often remoteOffice or remote, regular hours, structured projects
Employer & Industry UsageTech companies, startups, consulting firmsBusiness, finance, marketing, healthcare
Common Search & ComparisonPart Time Data Scientist vs Data Analyst

Part Time Data Scientists focus on advanced analytics, machine learning, and modeling, often requiring higher technical skills and specialized knowledge. Data Analysts typically handle data cleaning, reporting, and visualization. While both roles analyze data, Part Time Data Scientists work on complex models and predictive analytics, whereas Data Analysts focus on descriptive insights. The choice depends on your skills and career goals within data roles.

What are the most commonly searched types of Data Scientist jobs in Indiana? The most popular types of Data Scientist jobs in Indiana are:
What job categories do people searching Part Time Data Scientist jobs in Indiana look for? The top searched job categories for Part Time Data Scientist jobs in Indiana are:
What cities in Indiana are hiring for Part Time Data Scientist jobs? Cities in Indiana with the most Part Time Data Scientist job openings:
Infographic showing various Part Time Data Scientist job openings in Indiana as of August 2026, with employment types broken down into 1% As Needed, 82% Full Time, 13% Part Time, and 4% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $116,793 per year, or $56.2 per hour.

Staff Pharmacist - Part-Time - LifeSpan Pharmacy

CarDon Associates

Indianapolis, IN

$56.75 - $67/hr

Part-time

Re-posted 10 days ago


CarDon & Associates rating

6.8

Company rating: 6.8 out of 10

Based on 16 frontline employees who took The Breakroom Quiz


Job description

LifeSpan Pharmacy, a CarDon & Associates partner, is now seeking a Staff Pharmacist. Must be currently licensed as a registered pharmacist in the state of Indiana.

QUALIFICATIONS: 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.

Education / Work Experience
  • Bachelor of Science in Pharmacy (Doctor of Pharmacy or a Masters of Science degree in Pharmacy desirable)
Certificates, Licenses, Registrations
  • Currently licensed as a registered pharmacist in state of employment
Other Qualifications
  • Experience and strong knowledge base in intravenous admixture services and intravenous therapy
  • Must be capable of assuming responsibility for evaluating and monitoring drug therapy relative to the total needs/problems of the home care patient in collaboration with physicians, nurses and other healthcare professionals
  • Must be able to work effectively with others to provide safe and effective drug therapy
  • Must demonstrate ability to problem solve and supervise technical and other support staff
  • Must be flexible with work schedule
  • Good organizational and time-management skills
  • Participates and membership in professional societies and organizations is desirable
  • Excellent verbal and written communication skills
  • Dependable in attendance and job performance

ESSENTIAL DUTIES AND RESPONSIBILITIES include the following. Other duties may be assigned

  1. I. CLINICAL PHARMACIST DUTIES (45%)
  • Adheres to organization policies and procedures
  • Reviews, receives/verifies all new patient orders and documents the same on the respective order form
  • Assists the physician and other healthcare professionals involved in planning and implementing patient care in the home to ensure safe and effective drug therapy
  • Conducts initial and ongoing assessment of specific patient, drug and disease information to identify real and potential drug-related problems or needs
  • Assists the physician and nursing staff in setting therapeutic objectives for drug therapy and establishing parameters for monitoring the safety and efficacy of drug therapy
  • Monitors the outcomes from drug therapy by collecting, evaluating, and interpreting the results of laboratory data, clinical data and other pertinent patient information
  • Communicates the results of therapeutic drug monitoring activities to the physician, nursing and other appropriate persons
  • Provides consultation and answers inquiries from patients, families, physicians, and other healthcare professionals regarding drugs and their use
  • Maintains thorough and appropriate documentation in the patient/client record of all clinical activities and communication with patients, physicians and other healthcare professionals
  • Maintains clinical skills and knowledge of pharmacotherapy by reviewing the literature and attending in-services, seminars and conferences
  • Identify and implement appropriate formulary substitutions
  • Matches appropriate drug therapy with diagnosis to ensure efficacy

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