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Data Science Instructor Remote Jobs in Arizona (NOW HIRING)

Data Engineer III

Chandler, AZ · Remote

$110K - $132K/yr

... and data connectivity anywhere in the world. For over 20 years, Iridium's unique network and ... militaries, scientific researchers, and lone workers, as well as ships, aircraft and remote ...

Data Engineer III

Chandler, AZ · Remote

$110K - $132K/yr

... and data connectivity anywhere in the world. For over 20 years, Iridium's unique network and ... militaries, scientific researchers, and lone workers, as well as ships, aircraft and remote ...

Data Engineer

Phoenix, AZ · On-site +1

$113K - $136K/yr

This opportunity is remote with the ideal candidate being located in DFW, Phoenix, Atlanta or ... EDUCATION & EXPERIENCE Bachelor's degree in Computer Science, Information Systems, Data Engineering ...

Lead Engineer, Data Platforms

Tempe, AZ · On-site +1

$111K - $133K/yr

Bachelor's degree in Computer Science, Software Engineering, Information Technology, or related ... Location Requirement: This position is eligible for remote work within any state Dutch Bros ...

AI/ML Engineer II

Phoenix, AZ · On-site +1

$113K - $136K/yr

USAA roles may offer remote or hybrid flexibility for active-duty military spouses consistent with ... Leverage understanding of models and collaborate with Data Scientists to refactor the code into IT ...

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Data Science Instructor Remote information

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

AspectData Science Instructor RemoteData Analyst Remote
Required CredentialsTypically a degree in Data Science, Computer Science, or related field; teaching experienceDegree in Statistics, Mathematics, or related field; analytical skills
Work EnvironmentOnline teaching platforms, educational institutionsRemote data analysis projects, companies, or consulting
Employer & Industry UsageEducational institutions, online course providersBusinesses, finance, healthcare, marketing
Common Search & ComparisonOften compared for teaching roles in data scienceCompared for data analysis roles

While both roles involve working with data, a Data Science Instructor Remote focuses on teaching and curriculum development in data science, whereas a Data Analyst Remote concentrates on analyzing data to inform business decisions. The credentials overlap but differ mainly in job focus and work environment.

What are some common challenges faced by remote Data Science Instructors, and how can they be addressed?

Remote Data Science Instructors often face challenges related to student engagement and communication, as virtual environments can make it harder to gauge comprehension and foster interaction. To address this, instructors can leverage interactive teaching tools, encourage active participation through breakout sessions and live coding, and provide regular, personalized feedback. Additionally, establishing clear communication channels and setting expectations for responsiveness can help bridge the physical distance and create a supportive online learning community.

What does a Data Science Instructor Remote do?

A Data Science Instructor Remote teaches students foundational and advanced concepts in data science through online platforms. They develop lesson plans, deliver lectures or workshops, guide students through hands-on projects, and provide feedback on assignments. Instructors also stay current with industry trends to ensure their teaching materials remain relevant. They may interact with students via video calls, forums, and virtual office hours, supporting learners from diverse backgrounds and locations.

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

To thrive as a Data Science Instructor (Remote), you need a strong background in data science concepts, programming (Python or R), and a relevant degree or industry experience. Familiarity with data analysis tools like Jupyter Notebook, version control systems like Git, and learning management systems (LMS) is typically required. Outstanding communication, patience, and an ability to explain complex topics clearly help set exceptional instructors apart. These skills ensure students effectively learn analytical techniques and prepare for real-world data science roles in a remote environment.
What are the most commonly searched types of Data Science Instructor jobs in Arizona? The most popular types of Data Science Instructor jobs in Arizona are:
What cities in Arizona are hiring for Data Science Instructor Remote jobs? Cities in Arizona with the most Data Science Instructor Remote job openings:
Senior Consultant Performance Analytics Auto Claims

Senior Consultant Performance Analytics Auto Claims

The Hartford

Scottsdale, AZ • On-site, Remote

Full-time

Posted 10 days ago


The Hartford rating

8.8

Company rating: 8.8 out of 10

Based on 110 frontline employees who took The Breakroom Quiz

52nd of 281 rated insurance


Job description

Sr Consultant Perf Analytics - GB07AE

We're determined to make a difference and are proud to be an insurance company that goes well beyond coverages and policies. Working here means having every opportunity to achieve your goals - and to help others accomplish theirs, too. Join our team as we help shape the future.

The Auto Physical Damage Claims Performance Analytics team is seeking a Senior Performance Analytics Consultant to help evaluate operational and financial performance, identify emerging trends, and deliver insights that support confident business decisions. This role partners closely with Claims leaders, Performance Analytics teammates, Transformation and Optimization, Data Science, Product, Actuarial and segment leaders to connect data and business context.

This consultant will transform complex claims data into actionable insights, develop reporting and self-service analytics, helping leaders clearly see trends and understand the "why" behind them. The ideal candidate brings strong analytical skill, business curiosity, sound judgment, and the ability to communicate clearly with both technical and non-technical audiences. Success in this role requires analytical ownership, thoughtful problem framing, disciplined validation, and the ability to influence through evidence-based recommendations.

Key Responsibilities

  • Analyze Auto Physical Damage Claims results to identify trends, outliers, root causes, risks, and opportunities across operational and financial performance.

  • Partner with leaders and stakeholders to clarify business questions, define KPIs, prioritize analytics opportunities, and translate customer needs into actionable requirements.

  • Develop dashboards, scorecards, reporting exhibits, and self-service analytics that support performance management, risk detection, and executive decision-making.

  • Use structured analytical thinking, hypothesis-driven analysis, and appropriate statistical methods to evaluate trends movement, support hypotheses and recommendations.

  • Connect claims results with broader business, operational, industry, market, and macro trends to help leaders understand context.

  • Present complex findings clearly to non-technical and executive audiences, using strong data storytelling, visual design judgment, and business-friendly language.

  • Collaborate with data engineering and analytics partners to improve data accessibility, quality, governance, and repeatability of reporting solutions.

  • Lead work independently without formal authority, manage multiple priorities, and help partners move from insight to action.

Qualifications

  • Bachelor's degree preferred; experience in data analytics, performance analytics, business intelligence, or operational analytics preferred.

  • Degree in business Analytics, Statistics, Mathematics, or related field experience is a plus.

  • Experience in claims or insurance preferred; Auto Claims experience is a plus.

  • Demonstrated ability to extract, clean, integrate, analyze, and validate data from multiple sources, including large datasets.

  • Strong familiarity with analytics and visualization tools such as Snowflake, SQL, Tableau, Excel, ThoughtSpot, Power BI, Python, or similar tools.

  • Strong reporting and KPI design skills, including the ability to define, visualize, and explain metrics aligned to strategic goals.

  • Ability to frame business problems, question assumptions, evaluate evidence, and generate data-backed insights that are accurate, decision-ready, and grounded in business context.

  • Strong communication and storytelling skills, with the ability to tailor insights for executive, technical, and operational audiences.

  • Proven ability to build partnerships, influence without formal authority, and collaborate across Claims, Product, Actuarial, Operations, Data Science, or Transformation teams.

  • Comfort working in ambiguity, managing multiple priorities, and adapting as business needs, tools, and processes evolve.

  • Understanding of Agile is a plus.

Preferred Future-Ready Skills

  • Experience using advanced analytics, automation, or AI-enabled tools to improve speed, consistency, or quality of analytics work.

  • Comfort reviewing and validating AI-assisted outputs, including checking for accuracy, completeness, assumptions, and business relevance.

  • Ability to use prompts, natural language interfaces, or AI-supported workflows to accelerate analysis, reporting, or storytelling while maintaining human oversight.

  • Interest in helping shape repeatable, governed analytics processes as tools and workflows continue to evolve.

Work Arrangements

  • This role can have a Hybrid or Remote work arrangement. Candidates who live near one of our office locations (Hartford, CT, San Antonio, TX, Lake Mary, FL, Phoenix, AZ, Naperville, IL) will have the expectation of working in an office 3 days a week (Tuesday through Thursday).Candidates who do not live near an office will have aremote work arrangement, with the expectation of coming into an office as business needs arise.

Claims Performance Analytics Strategic Direction

  • Leverage technology, advanced analytics, and seamless collaboration to deliver timely, deep insights that help partners confidently navigate Claims and market changes.

Key Characteristics for Success

  • Trustworthy: Demonstrates authenticity, openness, integrity, and disciplined validation in analytics work.

  • Partnership Centric: Builds strong relationships, listens actively, understands stakeholder needs, and aligns insights to shared goals.

  • Value Oriented: Focuses on business outcomes, prioritizes high-value questions, and translates analysis into action.

  • Sought-After Expert: Brings curiosity, continuous learning, domain understanding, and sound judgment to complex analytical questions.

  • Adaptable: Embraces evolving tools, workflows, and expectations while maintaining quality, accuracy, and accountability.

Compensation

The listed annualized base pay range is primarily based on analysis of similar positions in the external market. Actual base pay could vary and may be above or below the listed range based on factors including but not limited to performance, proficiency and demonstration of competencies required for the role. The base pay is just one component of The Hartford's total compensation package for employees. Other rewards may include short-term or annual bonuses, long-term incentives, and on-the-spot recognition. The annualized base pay range for this role is:

$94,000 - $141,000

Equal Opportunity Employer/Sex/Race/Color/Veterans/Disability/Sexual Orientation/Gender Identity or Expression/Religion/Age

About Us|Our Culture|What It's Like to Work Here|Perks & Benefits


What The Hartford employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom


Hartford logo

About Hartford

Sourced by ZipRecruiter

Hartford Financial Services Group, widely recognized as The Hartford, is a renowned company based in Hartford, CT, US. Established in 1810, it has evolved into an industry leader in the insurance and financial services sector, proudly serving more than one million businesses in the US. The Hartford is committed to offering a gamut of insurance products that include homeowners, automobile, and business insurance as well as employee benefits and mutual funds. The company’s core values revolve around customer-focused innovations, diversity and inclusion, and ethical dealings that have earned them a customer-centric reputation. This shapes their mission which revolves around aiding their clients to overcome unforeseen obstacles and enhancing their wealth over time. Among the company's noted accomplishments is being consistently listed among the World's Most Ethical Companies, a testament to their unwavering commitment towards responsible business practices.

Industry

Finance and insurance

Company size

10,000+ Employees

Headquarters location

Hartford, CT, US

Year founded

1810

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