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Statistics Internship Jobs in Oklahoma (NOW HIRING)

Strayos

$13 - $17.50/hr

ML models, statistics) for a project that can be completed during the course of the internship Requirements * Candidates must currently be enrolled in an academic degree program in Geography ...

Siemens

$22 - $24/hr

Majors: Accounting, Finance, Business Administration, Economics, Business Analytics, Statistics ... This internship/co-op is a structured experiential learning program for individuals currently ...

Siemens

$22 - $24/hr

Majors: Accounting, Finance, Business Administration, Economics, Business Analytics, Statistics ... This internship/co-op is a structured experiential learning program for individuals currently ...

Siemens

$22 - $24/hr

Majors: Accounting, Finance, Business Administration, Economics, Business Analytics, Statistics ... This internship/co-op is a structured experiential learning program for individuals currently ...

Siemens

$22 - $24/hr

Majors: Accounting, Finance, Business Administration, Economics, Business Analytics, Statistics ... This internship/co-op is a structured experiential learning program for individuals currently ...

Siemens

$22 - $24/hr

Majors: Accounting, Finance, Business Administration, Economics, Business Analytics, Statistics ... This internship/co-op is a structured experiential learning program for individuals currently ...

Siemens

$22 - $24/hr

Majors: Accounting, Finance, Business Administration, Economics, Business Analytics, Statistics ... This internship/co-op is a structured experiential learning program for individuals currently ...

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Statistics Internship information

What is a statistics internship?

A statistics internship is a temporary position that allows students or recent graduates to gain practical experience by applying statistical methods and data analysis techniques in a real-world setting. Interns typically work under the supervision of experienced statisticians or data analysts, assisting with data collection, cleaning, analysis, and interpretation. The internship helps individuals develop technical and professional skills relevant to fields such as data science, research, business analytics, healthcare, and more. It also offers valuable opportunities for networking and can often lead to full-time employment in the field.

What are some typical projects or tasks that a statistics intern works on during their internship?

Statistics Interns often assist with data collection, cleaning, and analysis for ongoing research or business projects. They may use statistical software to run analyses, create visualizations, and interpret results under the guidance of senior analysts or statisticians. Interns frequently collaborate with cross-functional teams, such as data science, engineering, or marketing, to provide insights that inform decision-making. This hands-on experience helps interns develop practical skills and gain exposure to real-world applications of statistical methodologies.

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

To thrive as a Statistics Intern, you need a solid understanding of statistical methods, data analysis, and foundational coursework in mathematics or statistics. Familiarity with statistical software such as R, Python, SAS, or SPSS, along with proficiency in Excel, is typically expected. Attention to detail, problem-solving ability, and clear communication skills help interns interpret data accurately and share findings effectively. These competencies are essential for supporting data-driven decision-making and contributing valuable insights to projects.

What is the difference between Statistics Internship vs Data Analyst?

AspectStatistics InternshipData Analyst
Required CredentialsTypically pursuing or recent graduate in statistics, mathematics, or related fieldBachelor's or master's in statistics, data science, or related field
Work EnvironmentInternship setting, often in research or academic environmentsFull-time role in corporate, tech, or finance industries
Employer & Industry UsageInternship programs in universities, research institutions, or companiesBusinesses, government agencies, and consulting firms
Common Search & ComparisonYesYes

The main difference between a Statistics Internship and a Data Analyst role lies in experience level and employment status. Internships are typically temporary positions for students or recent graduates gaining practical experience, while Data Analysts are full-time professionals responsible for analyzing data to inform business decisions. Both roles require strong statistical skills, but internships focus on learning and development, whereas Data Analysts perform ongoing data analysis tasks.

What are the most commonly searched types of Statistics jobs in Oklahoma?

The most popular types of Statistics jobs in Oklahoma are:

What are popular job titles related to Statistics Internship jobs in Oklahoma?

For Statistics Internship jobs in Oklahoma, the most frequently searched job titles are:

What job categories do people searching Statistics Internship jobs in Oklahoma look for?

The top searched job categories for Statistics Internship jobs in Oklahoma are:

Statistics Internship jobs near you

Applied Scientist Internship

On-site, Remote

Strayos
See more jobs at Strayosexternal

$13 - $17.50/hr

Internship

Re-posted 23 days ago

Job description

If you love using innovative technology to tackle tough science problems and working in a fast-paced, results-oriented team environment, keep reading to learn more about the Strayos Applied Scientist internship opportunity.


Here at Strayos, we use advanced computer vision and machine learning on images and machine sensors data to build insights for Mining, Infrastructure and Construction industry. Our applied science team uses these datasets to better understand our customers critical business operations and how it is changing. We are seeking three exceptional students with experience interpreting and processing imagery to join our applied science team during a three-month internship based at Strayos' headquarters in Buffalo, WNY.


Over the course of this internship, you will work directly with our dynamic team of applied scientists who can share their deep knowledge of machine learning, remote sensing, geoscience, and physics. As an intern, you will learn how to implement novel, cutting-edge remote sensing and machine learning techniques to solve challenging research questions. To efficiently execute your solutions, you will access the Strayos' imagery archive and cloud-computing resources, and receive mentorship from one of our applied scientists. At the end of the internship, you will present your findings to the broader applied science team and learn more about future career opportunities at Strayos.


Responsibilities

  • Leverage our Python-based platform to query, access, and manipulate aerial imagery

  • Utilize machine learning or other classification techniques to analyze aerial imagery

  • Produce clear, concise results (e.g. ML models, statistics) for a project that can be completed during the course of the internship


Requirements

  • Candidates must currently be enrolled in an academic degree program in Geography, Geoscience, Earth Science, Engineering, Physics, Computer Science or a related field, within 1 year of completion.

  • Experience with Python & Numpy

  • Strong problem solving and critical thinking skills

  • Excellent written and verbal communication

  • Ability to work independently


Preferred skills

  • Experience with machine learning and image classification

  • Proficiency with the following Python packages: numpy, scikit-learn, keras

  • Experience working with aerial or satellite imagery and geospatial data.

Employment Type: INTERN

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