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Remote Data Science 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 ...

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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Showing results 1-20

Remote Data Science information

See Arizona salary details

$22.8K

$101.5K

$193.7K

How much do remote data science jobs pay per year?

As of Jul 14, 2026, the average yearly pay for remote data science in Arizona is $101,495.00, according to ZipRecruiter salary data. Most workers in this role earn between $52,427.00 and $140,777.00 per year, depending on experience, location, and employer.

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

To thrive as a Remote Data Scientist, you need strong analytical skills, proficiency in statistics, and a solid background in mathematics or computer science, often supported by a relevant degree. Expertise in programming languages such as Python or R, familiarity with machine learning libraries, and experience with cloud-based data platforms are typically required. Excellent communication, self-motivation, and time management skills help you effectively collaborate and deliver results in a remote environment. These skills ensure accurate data analysis, meaningful insights, and successful teamwork despite physical distance.

How do remote data scientists typically collaborate with cross-functional teams to deliver insights?

Remote data scientists often work closely with product managers, engineers, and business analysts using digital collaboration tools such as Slack, Zoom, and project management platforms. Regular virtual meetings, code sharing via Git repositories, and clear documentation are essential to ensure alignment and transparency. While working remotely can present challenges in communication, proactive updates and scheduled syncs help foster strong teamwork and keep projects on track.

Can I work remotely in data science?

Yes, data science is a field that often offers remote work opportunities. Many companies hire data scientists to work remotely, requiring skills in programming, data analysis, and tools like Python or R. Remote data science roles typically involve collaboration through online platforms and may require strong communication skills.

What is remote data science?

Remote data science refers to the practice of performing data analysis, modeling, and interpretation tasks from a location outside of a traditional office, such as from home or a co-working space. Remote data scientists use tools like Python, R, and SQL to analyze data, build predictive models, and communicate insights to stakeholders, all while collaborating virtually with their teams. This setup offers flexibility and can increase access to global job opportunities, but also requires strong self-motivation and communication skills to be effective.

Can a data scientist work fully remote?

Yes, many data scientists work fully remote, especially in companies that prioritize flexible work arrangements. Remote data science roles often require strong communication skills, proficiency with collaboration tools, and the ability to work independently on projects using programming languages like Python or R. However, some positions may require occasional in-person meetings or on-site presence depending on company policies.

Is 40 too late for data science?

Remote data science roles are open to candidates of various ages, and starting a career at 40 is possible with relevant skills in programming, statistics, and machine learning. Many professionals transition into data science later in life by gaining certifications and building portfolios, making age less of a barrier in this field.

What Are the Qualifications to Get a Remote Data Science Job?

The qualifications for a remote data scientist depend in large part on your employer and their industry. Most employers expect remote data science professionals to have at least a bachelor’s degree in statistics, math, computer science, or a related field. Some expect postgraduate degrees in a field like data mining or machine learning or demonstrable skills in these areas. As a remote worker, you need access to relevant programs and an internet connection. You may also want to pursue certification, such as becoming a Certified Analytics Professional (CAP).

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

AspectRemote Data ScienceRemote Data Analyst
Required CredentialsDegree in Data Science, Statistics, or related field; programming skills in Python/R; knowledge of machine learningDegree in Statistics, Mathematics, or related field; proficiency in Excel, SQL, and data visualization tools
Work EnvironmentCollaborative teams, research-focused, often involves building models and algorithmsData reporting, visualization, and interpreting data trends for decision-making
Employer & Industry UsageTech companies, finance, healthcare, e-commerceMarketing agencies, retail, finance, healthcare

Remote Data Science involves developing predictive models and advanced analytics, requiring programming and machine learning skills. Remote Data Analysts focus on interpreting data, creating reports, and visualizations. While both roles analyze data remotely, Data Scientists typically handle more complex modeling tasks, whereas Data Analysts focus on data interpretation and reporting.

How can I make $100,000 a year working from home?

Remote data scientists can earn $100,000 or more annually by gaining advanced skills in machine learning, programming languages like Python or R, and data visualization tools. Building a strong portfolio, obtaining relevant certifications, and gaining experience in high-demand industries can help achieve this income level while working remotely.
What are the most commonly searched types of Data Science jobs in Arizona? The most popular types of Data Science jobs in Arizona are:
What cities in Arizona are hiring for Remote Data Science jobs? Cities in Arizona with the most Remote Data Science job openings:
Infographic showing various Remote Data Science job openings in Arizona as of July 2026, with employment types broken down into 1% As Needed, 85% Full Time, 11% Part Time, and 3% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $101,495 per year, or $48.8 per hour.
Senior Consultant Performance Analytics Auto Claims

Senior Consultant Performance Analytics Auto Claims

The Hartford

Scottsdale, AZ • On-site, Remote

Full-time

Posted 13 days ago


The Hartford rating

8.8

Company rating: 8.8 out of 10

Based on 110 frontline employees who took The Breakroom Quiz

53rd 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

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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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