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Data Science Entry Level Remote Jobs in Oklahoma

Strayos

$13 - $17.50/hr

... data to build insights for Mining, Infrastructure and Construction industry. Our applied science ... As an intern, you will learn how to implement novel, cutting-edge remote sensing and machine ...

ONEOK, Inc

Engineer II (ILI Data Analysis)

Tulsa, OK · On-site +1

$104K - $125K/yr

While an Engineering degree is preferred, other applicable degrees such as Computer Science ... The schedule is Hybrid, working from the Tulsa office Monday-Thursday and working remote on Friday.

micro1 AI

Cheminformatics Specialist - Remote

Norman, OK · 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

Tulsa, OK · 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

Edmond, OK · 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 ...

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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 popular job titles related to Data Science Entry Level Remote jobs in Oklahoma?

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

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

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

Data Science Entry Level Remote jobs near you
Infographic showing various Data Science Entry Level Remote job openings in Oklahoma as of August 2026, with employment types broken down into 8% Internship, 58% Full Time, 25% Part Time, and 9% Contract. Highlights an 100% Remote job distribution.

Analyst Intern / Basketball Operations

Oklahoma City, OK • On-site, Remote

Oklahoma City Thunder
See more jobs at Oklahoma City Thunderexternal

Internship

Posted 12 days ago

Job description

The Oklahoma City Thunder is an elite performance organization and a leading franchise in the NBA. Beyond any single game, season, or outcome, we're driven to shape the future of our industry, our community, and our own legacy in sports.
We're looking for people who want to make an impact - individuals with the courage and ambition to think and work differently and an endless desire to initiate progress. At the Thunder, you're joining a culture that performs at the highest level and empowers you to realize your greatest potential.
As an Analyst Intern in Basketball Operations, your work is vital to uncovering valuable insights that help shape the organization's future - influencing strategy, decision-making, and performance to build the optimal conditions for talent to thrive.
You will work on every aspect of the data pipeline from building and maintaining information systems to research, analysis, and presentation. You will use data to impact significant decisions made at the organization.
Responsibilities:
  • Work with diverse, large, and sophisticated datasets to solve dynamic problems
  • Perform statistical analysis and predictive modeling, collaborating with stakeholders in various functions
  • Communicate and present findings through impactful reports and presentations

Qualifications:
  • Preferably enrolled in an accredited college or university pursuing a degree in data science, computer science, statistics, mathematics or economics
  • Some experience with technical tools for analysis such as R (Tidyverse, etc.), Python, SQL, etc.
  • Some experience in areas such as database systems, data wrangling, and data visualization
  • Knowledge of Shiny, Markdown, JavaScript, and HTML/CSS a plus
  • Experience working with and protecting confidential information
  • Good communication and interpersonal skills with the ability to deliver clear and effective messages to a variety of stakeholders
  • Passion for basketball and sports are key

Additional details:
This is a remote paid internship reporting into the Insight & Foresight pillar. Work schedule may include working on short notice as well as work on evenings, weekends, and holidays. Work hours will total no more than 29 hours per week.
The Thunder recognizes that teams with a variety of backgrounds, perspectives and skills make a stronger company. As an Equal Opportunity Employer, the Thunder organization considers applicants fairly on the basis of qualifications, experience and business needs and provides equal opportunity regardless of race, color, age, sex, ancestry, ethnicity, national origin, religion, veteran status, marital status, pregnancy, disability, gender identity, sexual orientation, or any other legally protected status. Applicants are considered regardless of past legal system involvement, based upon the needs of the role, nature of and recency of legal history. The Thunder is committed to a welcoming and inclusive environment for all employees through its RAVE culture - Respect and Value Everyone.

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