ZipRecruiter

Log In

3

Data Science Entry Level Remote Jobs in Indiana (NOW HIRING)

JLL

Data Collection Specialist II

Indianapolis, IN · Remote

Bachelor's degree (BA/BS) in engineering, construction management, sciences, IT, or related field a ... Remote -Boston, MA, Chicago, IL, Cleveland, OH, Dallas, TX, Indianapolis, IN, JERSEY CITY, NJ, Las ...

micro1 AI

Cheminformatics Specialist - Remote

Fishers, IN · Remote

$80 - $110/hr

... clinical data sources. * Provide expert insights on structure-activity and structure-property ... Assess and review AI-generated outputs for scientific rigor, accuracy, and practical relevance ...

micro1 AI

Cheminformatics Specialist - Remote

Carmel, IN · Remote

$80 - $110/hr

... clinical data sources. * Provide expert insights on structure-activity and structure-property ... Assess and review AI-generated outputs for scientific rigor, accuracy, and practical relevance ...

CSAA

Conducts actuarially sound statistical analysis by selecting appropriate data sources and making ... BA/BS in statistics, mathematics, actuarial science or related area and 5+ years of post-bachelor ...

next page

Showing results 1-20

All JobsData Science JobsData Science Entry Level Remote JobsData Science Entry Level Remote Jobs in Indiana

Data Science Entry Level Remote information

What is a data science entry level remote job?

Data science entry level remote jobs are positions suitable for individuals who are just starting their careers in data science and prefer or require the flexibility to work from home or any location outside the traditional office setting. These roles typically involve tasks such as data cleaning, basic statistical analysis, creating simple data visualizations, and assisting with machine learning projects under supervision. Entry level data scientists often work closely with more experienced team members and use tools like Python, R, SQL, and Excel. Remote roles require good communication skills and self-motivation, as collaboration happens online. These positions are a great way to gain practical experience and develop technical skills in the field of data science.

What skills and qualifications are needed to thrive as an entry-level remote data scientist?

To thrive as an entry-level remote Data Scientist, you need a solid background in statistics, programming (often Python or R), and data analysis, typically supported by a relevant degree or certification. Familiarity with tools like Jupyter Notebook, SQL databases, and machine learning libraries such as scikit-learn or TensorFlow is commonly required. Strong problem-solving abilities, communication skills, and self-motivation are crucial soft skills for remote collaboration and project management. These competencies enable effective data-driven insights, seamless teamwork, and measurable contributions in a distributed work environment.

What challenges do entry-level data scientists face when working remotely, and how can they overcome them?

Entry-level data scientists working remotely often encounter challenges such as limited access to mentorship, difficulty in collaborating on complex projects, and adjusting to asynchronous communication. To overcome these, it's important to proactively seek guidance from senior team members through regular check-ins, participate actively in team meetings and online forums, and document your work thoroughly for transparency. Leveraging collaborative tools like shared code repositories and communication platforms can also help maintain strong connections with your team and ensure project alignment.

What is the difference between Data Science Entry Level Remote vs Data Analyst Entry Level Remote?

AspectData Science Entry Level RemoteData Analyst Entry Level Remote
Required CredentialsBachelor's in CS, Statistics, or related field; some knowledge of programming and machine learningBachelor's in Statistics, Mathematics, or related field; proficiency in Excel, SQL, and data visualization tools
Work EnvironmentRemote, collaborative teams, often with cross-functional departmentsRemote, often working independently or with business teams
Employer & Industry UsageTech companies, finance, healthcare, e-commerceBusiness, marketing, finance, healthcare

While both roles are entry-level remote positions involving data, Data Science Entry Level Remote focuses on programming, machine learning, and predictive modeling, whereas Data Analyst Entry Level Remote emphasizes data visualization, reporting, and interpreting data for business insights. Candidates should choose based on their skills and career interests.

What are the most commonly searched types of Data Science Remote jobs in Indiana?

The most popular types of Data Science Remote jobs in Indiana are:

What are popular job titles related to Data Science Entry Level Remote jobs in Indiana?

For Data Science Entry Level Remote jobs in Indiana, the most frequently searched job titles are:

What job categories do people searching Data Science Entry Level Remote jobs in Indiana look for?

The top searched job categories for Data Science Entry Level Remote jobs in Indiana are:

What cities in Indiana are hiring for Data Science Entry Level Remote jobs?

Cities in Indiana with the most Data Science Entry Level Remote job openings:

Data Science Entry Level Remote jobs near you
Infographic showing various Data Science Entry Level Remote job openings in Indiana as of August 2026, with employment types broken down into 1% As Needed, 86% Full Time, 11% Part Time, and 2% Contract. Highlights an 83% Physical, 5% Hybrid, and 12% Remote job distribution.

GIS Coordinator Remote (Ohio and Indiana only)

Indianapolis, IN • On-site, Remote

Conflux Systems
11 - 50 employees
Learn more about Conflux Systemsexternal

$37/hr

Full-time

Re-posted yesterday

Job description

Title: GIS Coordinator
Location: Indianapolis, IN
Pay Rate: $37/H W2 (No Benefits)
Interview Type: Webcam and Inperson
Work mode: Remote
Client: IDOH
Skills
Knowledge of geospatial concepts
Knowledge of appropriate cartographic designs and solutions
Work in ESRI ArcGIS Desktop software
Work in ESRI ArcGIS Software as a Service platform and configurable applications
Work with Python, ArcGIS API for Python, ArcPy, and other data science packages including web automation and scraping capabilities
Work with JavaScript and ArcGIS JavaScript API
Knowledge of SQL within Oracle and SQL Server platforms
Managerial/supervisory experience within a health-related field, data/technology-related field, or in another comparable field
Ability to engage with stakeholders and partners at the GIO, other agencies, state/local health departments, private sector, etc.
Project management skills (communication, organization, metric tracking)
Experience with data governance best practices (GIS-specific data governance)
Experience with GeoAI
Note: Resource will be required to attend local events as well as national conference in San Diego. Expenses/travel will be reimbursable.

Apply