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Remote Data Science Tutor Jobs in Colorado (NOW HIRING)

... remote work options. Join a close-knit team that invests in your career and well-being. The Role ... Data Scientist to provide technical expertise in sustaining mission-critical software and systems.

Senior AI Product Manager

Denver, CO · On-site +1

$130K - $171K/yr

You will collaborate directly with engineering, data science, and design teams to deliver high ... Reliable internet connection required during remote work periods How You'll Be Rewarded Salary ...

Senior AI Product Manager

Denver, CO · On-site +1

$130K - $171K/yr

You will collaborate directly with engineering, data science, and design teams to deliver high ... Reliable internet connection required during remote work periods How You'll Be Rewarded Salary ...

USAA roles may offer remote or hybrid flexibility for active-duty military spouses consistent with ... Sciences, Operations Research, Data and/or Business Analysis, Data Science or other quantitative ...

Machine Learning Engineer

Colorado Springs, CO · On-site +1

$100K - $160K/yr

Work in Linux-based, containerized development environments using VS Code Dev Containers, Remote ... Bachelor's degree in computer science, mathematics, software engineering, data science, or a ...

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Remote Data Science Tutor information

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

To thrive as a Remote Data Science Tutor, you need a solid background in data science concepts, programming (Python or R), and statistical analysis, usually backed by a degree in a related field and tutoring or teaching experience. Familiarity with tools like Jupyter Notebook, Zoom, and learning management systems, as well as relevant certifications (e.g., Coursera or edX credentials), is typically required. Excellent communication, patience, and the ability to explain complex topics in simple terms help tutors connect with learners and address diverse questions. These skills are essential for effectively guiding remote students, fostering engagement, and ensuring successful learning outcomes in a virtual environment.

What are the most common challenges faced by remote data science tutors, and how can they be addressed?

Remote data science tutors often face challenges such as engaging students virtually, managing diverse learning paces, and ensuring clear communication of complex concepts. To address these, it's helpful to leverage interactive tools like virtual whiteboards and coding platforms, tailor lesson plans to individual student needs, and maintain regular check-ins. Building a supportive online community and providing timely feedback further enhance the learning experience for students and make tutoring more effective.

What are Remote Data Science Tutors?

Remote Data Science Tutors are professionals who provide instruction and guidance in data science topics through online platforms rather than in-person sessions. They help students or professionals understand concepts such as statistics, machine learning, data analysis, and programming languages like Python or R. By working remotely, these tutors can offer flexible scheduling and reach students in different geographic locations. Their goal is to support learners in building practical skills and solving real-world data science problems.

What is the difference between Remote Data Science Tutor vs Data Science Instructor?

AspectRemote Data Science TutorData Science Instructor
CredentialsTypically requires a degree in data science, statistics, or related fields; certifications like CAP or DASCA are commonOften requires advanced degrees and teaching certifications; industry experience is valued
Work EnvironmentWorks remotely, often one-on-one or small groups via online platformsCan be remote or in-person, usually in educational institutions or training centers
Employer & Industry UsageFreelance, online tutoring platforms, educational startupsUniversities, colleges, corporate training programs

While both roles involve teaching data science concepts, a Remote Data Science Tutor typically provides personalized, online tutoring to individual students or small groups, focusing on specific skills or projects. A Data Science Instructor usually teaches larger classes in academic or corporate settings, covering broader curricula. The key difference lies in the scope, environment, and audience of each role.

What are popular job titles related to Remote Data Science Tutor jobs in Colorado? For Remote Data Science Tutor jobs in Colorado, the most frequently searched job titles are:
What job categories do people searching Remote Data Science Tutor jobs in Colorado look for? The top searched job categories for Remote Data Science Tutor jobs in Colorado are:
What cities in Colorado are hiring for Remote Data Science Tutor jobs? Cities in Colorado with the most Remote Data Science Tutor job openings:
Infographic showing various Remote Data Science Tutor job openings in Colorado as of June 2026, with employment types broken down into 37% Full Time, 42% Part Time, and 21% Contract. Highlights an 100% Remote job distribution.
Decision Science Analyst (Mid-level) - Auto Modeling

Decision Science Analyst (Mid-level) - Auto Modeling

USAA

Colorado Springs, CO • On-site, Remote

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 28 days ago


USAA rating

8.3

Company rating: 8.3 out of 10

Based on 251 frontline employees who took The Breakroom Quiz

34th of 141 rated banks


Job description

Why USAA?

At USAA, our mission is to empower our members to achieve financial security through highly competitive products, exceptional service and trusted advice. We seek to be the #1 choice for the military community and their families.

Embrace a fulfilling career at USAA, where our core values - honesty, integrity, loyalty and service - define how we treat each other and our members. Be part of what truly makes us special and impactful.

We are proud to support active-duty military spouses. USAA roles may offer remote or hybrid flexibility for active-duty military spouses consistent with applicable policy and business needs.

The Opportunity

As a dedicated Decision Science Analyst, you will provide decision support for business areas across the association. Staff in this area will be responsible for applying mathematical and statistical techniques and/or innovative /quantitative analytical approaches to draw conclusions and make 'insight to action' recommendations to answer business objectives and drive change. The essence of work performed by the Decision Science Analyst involves gathering, manipulating and synthesizing data (e.g., attributes, transactions, behaviors, etc.), models and other relevant information to draw conclusions and make recommendations resulting in implementable strategies.

We offer a flexible work environment that requires an individual to be in the office 4 days per week. This position can be based in San Antonio, TX, Plano, TX, Colorado, CO, Phoenix, AZ, or Tampa, FL.

Relocation assistance is available for this position.

What you'll do:

  • Leverages advanced business, analytical and technical knowledge to participate or lead discussions with cross functional teams to understand and collaborate highly complex business objectives and influence solution strategies.

  • Applies advanced analytical techniques to solve business problems that are typically medium to large scale with significant impact to current and/or future business strategy.

  • Applies innovative and scientific/quantitative analytical approaches to draw conclusions and make 'insight to action' recommendations to answer the business objective and drive the appropriate change.

  • Translates recommendation into communication materials to effectively present to various levels of management.

  • Incorporates visualization techniques to support the relevant points of the analysis and ease the understanding for less technical audiences.

  • Identifies and gathers the relevant and quality data sources required to fully answer and address the problem for the recommended strategy through testing or exploratory data analysis (EDA).

  • Integrates/transforms disparate data sources and determines the appropriate data hygiene techniques to apply.

  • Thoroughly documents assumptions, methodology, validation and testing to facilitate peer reviews and compliance requirements.

  • Understands and adopts emerging technology that can affect the application of scientific methodologies and/or quantitative analytical approaches to problem resolutions.

  • Succinctly delivers analysis/findings in a manner that conveys understanding, influences various levels of management, garners support for recommendations, drives business decisions, and influences business strategy.

  • Provides subject matter expertise in operationalizing recommendations.

  • Remains informed on current data and analytics trends, (Ex: Cloud, Data Mining, Python, Neural Networks, Sensor data, IoT, Streaming/NRT data).

  • Identifies opportunities to continue to learn in the data and analytics space, whether informal (e.g., Coursera, Udemy, Kaggle, Code Up, etc.) or formal (e.g.Certifications or advanced coursework).

  • Ensures risks associated with business activities are effectively identified, measured, monitored, and controlled in accordance with risk and compliance policies and procedures.

What you have:

  • Bachelor's degree in quantitative analytics field such as Economics, Finance, Statistics, Mathematics, Actuarial Sciences, Operations Research, Data and/or Business Analysis, Data Science or other quantitative discipline; OR 4 years of related experience in statistics, mathematics or quantitative analytics (in addition to the minimum years of experience required) may be substituted in lieu of degree.

  • 4 years of experience in data/analytics or functional business experience within the respective industry of responsibility (i.e.P&C, Bank, Finance) OR Advanced degree in quantitative analytics field such as Economics, Finance, Statistics, Mathematics, Actuarial Sciences, Operations Research, Data and/or Business Analysis, Data Science or other quantitative discipline with 2 years experience in data/analytics or functional business experience within the respective industry of responsibility (i.e.P&C, Bank, Finance).

    Demonstrates advanced skills in mathematical and statistical techniques and approaches used to drive fact-based decision-making.

  • Advanced knowledge of data analysis tools, data visualization, developing analysis queries and procedures in SQL, SAS, BI tools or other analysis software, and relevant industry data & methods and ability to connect external insights to business problems.

  • Experience with new and emerging data sets, and incorporation (data wrangling, data munging) into new insights.

What sets you apart:

  • Experience in Property and Casualty Insurance.

  • Working experience using SQL, Tableau, Snowflake and Sigma.

  • US military experience through military service or a military spouse/domestic partner.

Compensation range: The salary range for this position is: $93,770 - $179,240.

USAA does not provide visa sponsorship for this role. Please do not apply for this role if at any time (now or in the future) you will need immigration support (i.e., H-1B, TN, STEM OPT Training Plans, etc.).

Compensation: USAA has an effective process for assessing market data and establishing ranges to ensure we remain competitive. You are paid within the salary range based on your experience and market data of the position. The actual salary for this role may vary by location.

Employees may be eligible for pay incentives based on overall corporate and individual performance and at the discretion of the USAA Board of Directors.

The above description reflects the details considered necessary to describe the principal functions of the job and should not be construed as a detailed description of all the work requirements that may be performed in the job.

Benefits: At USAA our employees enjoy best-in-class benefits to support their physical, financial, and emotional wellness. These benefits include comprehensive medical, dental and vision plans, 401(k), pension, life insurance, parental benefits, adoption assistance, paid time off program with paid holidays plus 16 paid volunteer hours, and various wellness programs. Additionally, our career path planning and continuing education assists employees with their professional goals.

For more details on our outstanding benefits, visit our benefits page on USAAjobs.com.

Applications for this position are accepted on an ongoing basis, this posting will remain open until the position is filled. Thus, interested candidates are encouraged to apply the same day they view this posting.

USAA is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran.


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