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Data Scientist Opt Jobs in Indiana (NOW HIRING)

$60 - $90/hr

Degree in Statistics, Data Science, Computer Science, Economics, or related field. * 2+ years of ... Sponsorship for H1‑B or STEM OPT visas is not available. About the Work This is an opportunity to ...

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Data Scientist Opt information

What are Data Scientists?

Data Scientists are professionals who use statistical analysis, machine learning, and programming skills to extract insights from large and complex datasets. They work across industries to help organizations make data-driven decisions, often by building predictive models and visualizations. Data Scientists typically have expertise in mathematics, statistics, computer science, and domain knowledge relevant to their field. Their work often involves cleaning and preparing data, exploring patterns, and communicating findings to stakeholders. As businesses increasingly rely on big data, the role of Data Scientists has become critical to unlocking actionable information from raw data.

What are the key skills and qualifications needed to thrive as a Data Scientist, and why are they important?

To thrive as a Data Scientist, you need strong analytical skills, a solid foundation in statistics and mathematics, and proficiency in programming languages like Python or R, often supported by a relevant degree in computer science, statistics, or a related field. Experience with data analysis tools (such as Pandas, NumPy, and SQL), machine learning frameworks (like scikit-learn or TensorFlow), and data visualization platforms is typically required. Excellent problem-solving abilities, effective communication, and curiosity help Data Scientists translate complex data findings into actionable business insights. These skills ensure you can extract meaningful value from data and communicate results clearly to drive decision-making.

What is the difference between Data Scientist Opt vs Data Analyst?

AspectData Scientist OptData Analyst
Required CredentialsBachelor's or Master's in Data Science, Statistics, or related fields; certifications like Certified Analytics ProfessionalBachelor's in Statistics, Mathematics, or related fields; certifications like Microsoft Data Analyst Associate
Work EnvironmentResearch and development teams, data-driven projects, advanced analyticsBusiness units, reporting, data visualization, basic analysis
Employer & Industry UsageTech companies, finance, healthcare, consulting firmsRetail, marketing, finance, government agencies

Data Scientist Opt and Data Analyst roles share some foundational skills but differ mainly in complexity and scope. Data Scientist Opt focuses on advanced analytics, machine learning, and predictive modeling, while Data Analysts primarily handle data reporting and visualization. Both roles are essential in data-driven organizations but serve different purposes based on project complexity and technical requirements.

What are some typical challenges Data Scientists face when collaborating with cross-functional teams?

Data Scientists often work alongside engineers, product managers, and business analysts, which can present challenges in aligning technical solutions with business goals. Communication is key, as translating complex data insights into actionable recommendations for non-technical stakeholders can be demanding. Additionally, ensuring data quality and managing expectations about project timelines are common hurdles. Being adaptable and proactive in fostering collaboration helps Data Scientists succeed in these environments.
What job categories do people searching Data Scientist Opt jobs in Indiana look for? The top searched job categories for Data Scientist Opt jobs in Indiana are:
What cities in Indiana are hiring for Data Scientist Opt jobs? Cities in Indiana with the most Data Scientist Opt job openings:
Infographic showing various Data Scientist Opt 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 15 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.