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Remote Machine Learning Finance Jobs in Oklahoma

Varsity Tutors

Business Analytics Tutor

Stillwater, OK · Remote

$18 - $40/hr

Ability to explain statistical modeling techniques, machine learning basics, and business ... finance, and supply chain applications. * Curriculum Awareness & Adaptive Instruction: Familiar ...

Human Agency

Remote (US only) Type: Full-Time About Human Agency We're scaling rapidly and have a growing ... Continuous learning and market intelligence. You stay current on AI developments, regulatory shifts ...

Accenture

Remote We Are: Accenture's Commercial Client Success organization helps clients realize measurable ... Knowledge of Oracle AI, Machine Learning, Generative AI, Agile, and DevOps practices.

Teleflora

Data Scientist, Modeler

Oklahoma City, OK · On-site +1

... Finance and Leadership on budgeting and planning cycles * Build scenario models to support strategic decisions * Continuously improve forecast accuracy using statistical and machine learning ...

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All JobsMachine Learning Finance JobsRemote Machine Learning Finance JobsRemote Machine Learning Finance Jobs in Oklahoma

Remote Machine Learning Finance information

How do remote machine learning finance professionals typically collaborate with cross-functional teams?

Remote machine learning professionals in finance often work closely with data analysts, financial experts, and software engineers to develop and deploy predictive models. Collaboration is typically facilitated through virtual meetings, shared documentation, and project management tools. Clear communication and regular check-ins are crucial for aligning goals and ensuring that machine learning solutions address real business needs. Many organizations also encourage participation in virtual workshops and code reviews to maintain a strong sense of teamwork despite the remote setting.

What are the key skills and qualifications needed to thrive as a remote machine learning finance professional?

To excel in Remote Machine Learning Finance, strong analytical skills, a solid background in statistics or mathematics, and experience with financial data are essential, often supported by a degree in computer science, finance, or a related field. Familiarity with programming languages like Python or R, experience with machine learning frameworks (such as TensorFlow or Scikit-learn), and knowledge of financial modeling tools are typically required. Excellent problem-solving, communication, and the ability to work independently are standout soft skills in this remote environment. These abilities are crucial for developing effective financial models, interpreting complex data, and collaborating with distributed teams to drive business value.

What is a remote machine learning finance professional?

A Remote Machine Learning Finance job involves applying machine learning techniques and algorithms to financial data and problems, often from a remote location. Professionals in this field develop models to predict market trends, assess risks, automate trading, or detect fraud using large datasets. Remote roles allow employees to work from anywhere, collaborating with teams virtually and using cloud-based tools to analyze data. These positions typically require strong programming skills, knowledge of finance, and experience with machine learning frameworks.
What are the most commonly searched types of Machine Learning Finance jobs in Oklahoma? The most popular types of Machine Learning Finance jobs in Oklahoma are:
What are popular job titles related to Remote Machine Learning Finance jobs in Oklahoma? For Remote Machine Learning Finance jobs in Oklahoma, the most frequently searched job titles are:
What job categories do people searching Remote Machine Learning Finance jobs in Oklahoma look for? The top searched job categories for Remote Machine Learning Finance jobs in Oklahoma are:
What cities in Oklahoma are hiring for Remote Machine Learning Finance jobs? Cities in Oklahoma with the most Remote Machine Learning Finance job openings:
Remote Machine Learning Finance jobs near you

Business Analytics Tutor

Varsity Tutors

Stillwater, OK • Remote

$18 - $40/hr

Part-time

Re-posted 9 days ago

Varsity Tutors rating

5.7

Company rating: 5.7 out of 10

Based on 16 frontline employees who took The Breakroom Quiz

14th of 23 rated private schools and tutoring

Job description

About the Job
The Varsity Tutors Live Learning Platform has thousands of students looking for online Business Analytics tutors nationally. As a tutor on the Varsity Tutors Platform, you'll have the flexibility to set your own schedule, earn competitive rates, and make a real impact on students' academic success and understanding. All from the comfort of your home.
Why Join Our Platform?
  • Earn incrementally higher pay for each session with the same student, reaching up to $40/hour.
  • Get paid up to twice per week, ensuring fast and reliable compensation for the tutoring sessions you conduct and invoice.
  • Set your own hours and tutor as much as you'd like.
  • Tutor remotely using our purpose-built Live Learning Platform. No commuting required.
  • Get matched with students best-suited to your teaching style and expertise.
  • Our AI-powered Tutor Copilot enhances your sessions with real-time instructional support, lesson generation, and engagement features, helping you save prep time and focus on impactful teaching.
  • We handle the logistics—you just invoice for your tutoring sessions, and we take care of payments.

What We Look For In a Business Analytics Tutor
  • Advanced Subject Mastery: Deep knowledge of descriptive analytics, predictive modeling, prescriptive analytics, data visualization, regression analysis, decision trees, optimization, simulation, database querying, and data-driven decision-making frameworks. Ability to explain statistical modeling techniques, machine learning basics, and business intelligence dashboard design while preparing students for analytics roles and data-driven management positions.
  • Conceptual Teaching & Problem-Solving: Skilled at breaking down regression modeling, data visualization design, and optimization problem formulation. Guides students through cleaning and preparing data sets, building predictive models, creating meaningful dashboards, interpreting analytics output for business stakeholders, and making data-driven recommendations. Emphasizes translating technical analysis into actionable business insights and connects analytics to marketing, operations, finance, and supply chain applications.
  • Curriculum Awareness & Adaptive Instruction: Familiar with business analytics curricula and common challenges such as transitioning from spreadsheets to analytics tools, interpreting model output correctly, and communicating findings to non-technical audiences. Adapts instruction using Excel, Tableau, Python, or R with real business data sets and case studies to support undergraduate and MBA students developing analytical capabilities for modern business environments.
  • Effective Teaching Methods: Ability to identify concepts students commonly struggle with, explain material using multiple approaches, and adapt instruction to meet individual learning needs and styles.
  • Strong communication skills and a friendly, engaging teaching style.
  • Ability to adapt to different learning styles and student needs.

Ways To Connect With Students
  • 1-on-1 Online Tutoring - Provide personalized instruction to individual students.
  • Instant Tutoring - Accept on-demand tutoring requests whenever you're available.

About Varsity Tutors And 1-on-1 Online Tutoring
Our mission is to transform the way people learn by leveraging advanced technology, AI, and the latest in learning science to create personalized learning experiences. Through 1-on-1 Online Tutoring, students receive customized instruction that helps them achieve their learning goals. Our platform is designed to match students with the right tutors, fostering better outcomes and a passion for learning.
Please note: Varsity Tutors does not contract in: Alaska, California, Colorado, Delaware, Hawaii, Maine, New Hampshire, North Dakota, Vermont, West Virginia or Puerto Rico.

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