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Entry Level Data Scientist Remote Jobs in Indiana

$60 - $90/hr

Data Analysis / Analytics Expert Hourly Contract Remote Compensation: $60$90 per hour Overview We ... Degree in Statistics, Data Science, Computer Science, Economics, or related field. * 2+ years of ...

$20/hr

Ability to work independently in a remote environment Preferred Qualifications * Background in linguistics, computer science, or data science * Experience contributing to AI training or NLP projects

$13.50 - $18.25/hr

S.A. remote. Role Summary The Associate Service Sales Representative is an entrylevel sales role ... Leverage available data to prioritize opportunities with the highest potential ROI and conversion ...

Remote micro1 is engaging PhD-level Engineers in Electrical, Mechanical, or Chemical disciplines to ... Analyze data and interpret results to inform AI training datasets with precision * Apply ...

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 ...

High School Science Teacher

Modoc, IN · Remote

$46K - $50K/yr

Join us! This is a REMOTE full-time position. Ability to work independently, typically 40+ hours ... student data, anduse it to drive instructional decisions. * Receptive to receiving coaching ...

Project Data Assistant

Indianapolis, IN · On-site +1

$30K - $40K/yr

Everlight Solar is seeking a skilled, data-minded individual to be an assistant to our Solar ... This is a FULLY REMOTE, full-time, entry level position. Must own a Mac computer and be fluent with ...

Remote micro1 is engaging PhD-level Engineers in Electrical, Mechanical, or Chemical disciplines to ... Analyze data and interpret results to inform AI training datasets with precision * Apply ...

Waters is a global leader in life sciences, dedicated to accelerating the benefits of pioneering ... Maintain accurate and timely opportunity, pipeline, and forecast data in CRM. * Leverage available ...

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Entry Level Data Scientist Remote information

What are some common challenges 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, difficulties in understanding team expectations, and staying motivated without in-person supervision. To overcome these, it's helpful to proactively communicate with teammates and supervisors, seek regular feedback, and participate in virtual team meetings or collaborative coding sessions. Leveraging online communities and internal chat channels can also help build connections and access guidance when needed, ensuring continued learning and integration into the team.

Will AI replace data scientists?

AI is transforming the role of data scientists by automating routine tasks like data cleaning and basic analysis, but it is unlikely to fully replace them. Data scientists are needed to interpret complex results, develop models, and make strategic decisions that require domain expertise and critical thinking. Skills in programming, statistical analysis, and machine learning remain essential for the role, especially in an evolving AI landscape.

Is 40 too late for data science?

Entry level data scientists can start at any age, including 40, as the field values skills like programming, statistics, and data analysis that can be learned at any stage. Many professionals successfully transition into data science later in their careers by gaining relevant certifications and building a portfolio of projects.

How can I make $2000 a week working from home?

An entry level data scientist working remotely can increase earnings by gaining in-demand skills like machine learning and data analysis, obtaining relevant certifications, and working on multiple freelance projects or consulting. Building a strong portfolio and leveraging platforms like Upwork or Kaggle can also help secure higher-paying opportunities. Earning $2000 weekly typically requires consistent project work and advanced skills in data tools and programming languages.

Can I get a data scientist job with no experience?

Entry level data scientist roles often require some knowledge of programming languages like Python or R, and familiarity with data analysis tools and techniques. While prior experience is not always mandatory, demonstrating relevant skills through projects, certifications, or coursework can improve chances of securing such positions. Employers may also consider internships or bootcamps as valid experience for entry level roles.

What are the key skills and qualifications needed to thrive as an Entry Level Data Scientist (Remote), and why are they important?

To thrive as an Entry Level Data Scientist (Remote), you need a solid foundation in statistics, programming (especially Python or R), and data analysis, typically supported by a degree in computer science, mathematics, or a related field. Familiarity with tools like SQL, Jupyter Notebooks, and machine learning libraries (such as scikit-learn or TensorFlow), as well as experience with data visualization platforms, is often expected. Strong problem-solving skills, self-motivation, and clear communication are crucial for collaborating across teams and working independently in a remote environment. These skills and qualities ensure you can effectively extract insights from data and contribute meaningfully to business decisions, even without direct in-person supervision.

What is an Entry Level Data Scientist (Remote)?

An Entry Level Data Scientist (Remote) is a professional who analyzes and interprets complex digital data to help companies make informed decisions, typically working from a location outside of the company's physical office. They use statistical techniques, machine learning, and data visualization tools to uncover insights from large datasets. Entry level positions are designed for individuals with limited professional experience, often recent graduates or those transitioning into the field. Remote roles offer flexibility, enabling employees to work from home or any other location with internet access.
What are the most commonly searched types of Data Scientist Remote jobs in Indiana? The most popular types of Data Scientist Remote jobs in Indiana are:
What are popular job titles related to Entry Level Data Scientist Remote jobs in Indiana? For Entry Level Data Scientist Remote jobs in Indiana, the most frequently searched job titles are:
What job categories do people searching Entry Level Data Scientist Remote jobs in Indiana look for? The top searched job categories for Entry Level Data Scientist Remote jobs in Indiana are:
What cities in Indiana are hiring for Entry Level Data Scientist Remote jobs? Cities in Indiana with the most Entry Level Data Scientist Remote job openings:
Infographic showing various Entry Level Data Scientist Remote job openings in Indiana as of July 2026, with employment types broken down into 1% As Needed, 82% Full Time, 15% Part Time, and 2% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution.

Data Analysis / Analytics Expert

Recruitment Room

Remote

$60 - $90/hr

Contractor

Posted 8 days ago


Job description

Data Analysis / Analytics Expert

Hourly Contract Remote

Compensation: $60$90 per hour

Overview

We are seeking experienced Data Analysts to transform raw data into actionable insights. This role combines statistical rigor, visualization, and structured reporting to support decision‑making across diverse industries. You will contribute to projects that require analytical precision, clear communication, and collaboration with cross‑functional teams.

Key Responsibilities
  • Apply statistical tools and models to extract meaningful insights.

  • Develop visualizations that communicate findings clearly to stakeholders.

  • Evaluate datasets for accuracy, completeness, and reliability.

  • Provide structured reports with actionable recommendations.

  • Identify trends and patterns that inform business or research strategies.

  • Collaborate remotely with engineers, researchers, and business teams.

Ideal Qualifications
  • Degree in Statistics, Data Science, Computer Science, Economics, or related field.

  • 2+ years of professional experience in data analysis or business intelligence.

  • Proficiency in SQL, R, Python, and visualization tools (Tableau, Power BI, matplotlib).

  • Strong analytical reasoning and attention to detail.

  • Clear written and verbal communication skills.

Project Timeline
  • Start Date: Immediate

  • Duration: As required

  • Commitment: Part‑time, 20+ hours per week

Application Onboarding
  • Submit your resume and application form.

  • Complete a 30‑minute interview covering background, technical expertise, and motivations.

  • Receive onboarding details within a few days.

Contract Payment Terms
  • Independent contractor engagement.

  • Fully remote role, flexible schedule.

  • Weekly payments via Stripe or Wise based on services rendered.

  • Projects may be extended, shortened, or concluded early depending on needs and performance.

  • Please note: Sponsorship for H1‑B or STEM OPT visas is not available.

About the Work

This is an opportunity to leverage your analytical expertise in shaping systems and strategies that rely on data‑driven insights. You will contribute to projects that combine statistical rigor with practical application, ensuring clarity, accuracy, and impact in decision‑making.